---
_id: '2006'
abstract:
- lang: eng
  text: 'The monotone secant conjecture posits a rich class of polynomial systems,
    all of whose solutions are real. These systems come from the Schubert calculus
    on flag manifolds, and the monotone secant conjecture is a compelling generalization
    of the Shapiro conjecture for Grassmannians (Theorem of Mukhin, Tarasov, and Varchenko).
    We present some theoretical evidence for this conjecture, as well as computational
    evidence obtained by 1.9 teraHertz-years of computing, and we discuss some of
    the phenomena we observed in our data. '
article_processing_charge: No
author:
- first_name: Nicolas
  full_name: Hein, Nicolas
  last_name: Hein
- first_name: Christopher
  full_name: Hillar, Christopher
  last_name: Hillar
- first_name: Abraham
  full_name: Martin Del Campo Sanchez, Abraham
  id: 4CF47F6A-F248-11E8-B48F-1D18A9856A87
  last_name: Martin Del Campo Sanchez
- first_name: Frank
  full_name: Sottile, Frank
  last_name: Sottile
- first_name: Zach
  full_name: Teitler, Zach
  last_name: Teitler
citation:
  ama: Hein N, Hillar C, Martin del Campo Sanchez A, Sottile F, Teitler Z. The monotone
    secant conjecture in the real Schubert calculus. <i>Experimental Mathematics</i>.
    2015;24(3):261-269. doi:<a href="https://doi.org/10.1080/10586458.2014.980044">10.1080/10586458.2014.980044</a>
  apa: Hein, N., Hillar, C., Martin del Campo Sanchez, A., Sottile, F., &#38; Teitler,
    Z. (2015). The monotone secant conjecture in the real Schubert calculus. <i>Experimental
    Mathematics</i>. Taylor &#38; Francis. <a href="https://doi.org/10.1080/10586458.2014.980044">https://doi.org/10.1080/10586458.2014.980044</a>
  chicago: Hein, Nicolas, Christopher Hillar, Abraham Martin del Campo Sanchez, Frank
    Sottile, and Zach Teitler. “The Monotone Secant Conjecture in the Real Schubert
    Calculus.” <i>Experimental Mathematics</i>. Taylor &#38; Francis, 2015. <a href="https://doi.org/10.1080/10586458.2014.980044">https://doi.org/10.1080/10586458.2014.980044</a>.
  ieee: N. Hein, C. Hillar, A. Martin del Campo Sanchez, F. Sottile, and Z. Teitler,
    “The monotone secant conjecture in the real Schubert calculus,” <i>Experimental
    Mathematics</i>, vol. 24, no. 3. Taylor &#38; Francis, pp. 261–269, 2015.
  ista: Hein N, Hillar C, Martin del Campo Sanchez A, Sottile F, Teitler Z. 2015.
    The monotone secant conjecture in the real Schubert calculus. Experimental Mathematics.
    24(3), 261–269.
  mla: Hein, Nicolas, et al. “The Monotone Secant Conjecture in the Real Schubert
    Calculus.” <i>Experimental Mathematics</i>, vol. 24, no. 3, Taylor &#38; Francis,
    2015, pp. 261–69, doi:<a href="https://doi.org/10.1080/10586458.2014.980044">10.1080/10586458.2014.980044</a>.
  short: N. Hein, C. Hillar, A. Martin del Campo Sanchez, F. Sottile, Z. Teitler,
    Experimental Mathematics 24 (2015) 261–269.
date_created: 2018-12-11T11:55:10Z
date_published: 2015-06-23T00:00:00Z
date_updated: 2021-01-12T06:54:40Z
day: '23'
department:
- _id: CaUh
doi: 10.1080/10586458.2014.980044
intvolume: '        24'
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: http://arxiv.org/abs/1109.3436
month: '06'
oa: 1
oa_version: Preprint
page: 261 - 269
publication: Experimental Mathematics
publication_status: published
publisher: Taylor & Francis
publist_id: '5070'
quality_controlled: '1'
scopus_import: 1
status: public
title: The monotone secant conjecture in the real Schubert calculus
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 24
year: '2015'
...
---
_id: '2008'
abstract:
- lang: eng
  text: The paper describes a generalized iterative proportional fitting procedure
    that can be used for maximum likelihood estimation in a special class of the general
    log-linear model. The models in this class, called relational, apply to multivariate
    discrete sample spaces that do not necessarily have a Cartesian product structure
    and may not contain an overall effect. When applied to the cell probabilities,
    the models without the overall effect are curved exponential families and the
    values of the sufficient statistics are reproduced by the MLE only up to a constant
    of proportionality. The paper shows that Iterative Proportional Fitting, Generalized
    Iterative Scaling, and Improved Iterative Scaling fail to work for such models.
    The algorithm proposed here is based on iterated Bregman projections. As a by-product,
    estimates of the multiplicative parameters are also obtained. An implementation
    of the algorithm is available as an R-package.
acknowledgement: Part of the material presented here was contained in the PhD thesis
  of the first author to which the second author and Thomas Richardson were advisers.
  The authors wish to thank him for several comments and suggestions. We also thank
  the reviewers and the Associate Editor for helpful comments. The proof of Proposition 1
  uses the idea of Olga Klimova, to whom the authors are also indebted. The second
  author was supported in part by Grant K-106154 from the Hungarian National Scientific
  Research Fund (OTKA).
author:
- first_name: Anna
  full_name: Klimova, Anna
  id: 31934120-F248-11E8-B48F-1D18A9856A87
  last_name: Klimova
- first_name: Tamás
  full_name: Rudas, Tamás
  last_name: Rudas
citation:
  ama: Klimova A, Rudas T. Iterative scaling in curved exponential families. <i>Scandinavian
    Journal of Statistics</i>. 2015;42(3):832-847. doi:<a href="https://doi.org/10.1111/sjos.12139">10.1111/sjos.12139</a>
  apa: Klimova, A., &#38; Rudas, T. (2015). Iterative scaling in curved exponential
    families. <i>Scandinavian Journal of Statistics</i>. Wiley. <a href="https://doi.org/10.1111/sjos.12139">https://doi.org/10.1111/sjos.12139</a>
  chicago: Klimova, Anna, and Tamás Rudas. “Iterative Scaling in Curved Exponential
    Families.” <i>Scandinavian Journal of Statistics</i>. Wiley, 2015. <a href="https://doi.org/10.1111/sjos.12139">https://doi.org/10.1111/sjos.12139</a>.
  ieee: A. Klimova and T. Rudas, “Iterative scaling in curved exponential families,”
    <i>Scandinavian Journal of Statistics</i>, vol. 42, no. 3. Wiley, pp. 832–847,
    2015.
  ista: Klimova A, Rudas T. 2015. Iterative scaling in curved exponential families.
    Scandinavian Journal of Statistics. 42(3), 832–847.
  mla: Klimova, Anna, and Tamás Rudas. “Iterative Scaling in Curved Exponential Families.”
    <i>Scandinavian Journal of Statistics</i>, vol. 42, no. 3, Wiley, 2015, pp. 832–47,
    doi:<a href="https://doi.org/10.1111/sjos.12139">10.1111/sjos.12139</a>.
  short: A. Klimova, T. Rudas, Scandinavian Journal of Statistics 42 (2015) 832–847.
date_created: 2018-12-11T11:55:11Z
date_published: 2015-09-01T00:00:00Z
date_updated: 2021-01-12T06:54:41Z
day: '01'
department:
- _id: CaUh
doi: 10.1111/sjos.12139
intvolume: '        42'
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: http://arxiv.org/abs/1307.3282
month: '09'
oa: 1
oa_version: Preprint
page: 832 - 847
publication: Scandinavian Journal of Statistics
publication_status: published
publisher: Wiley
publist_id: '5068'
quality_controlled: '1'
scopus_import: 1
status: public
title: Iterative scaling in curved exponential families
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 42
year: '2015'
...
---
_id: '2014'
abstract:
- lang: eng
  text: The concepts of faithfulness and strong-faithfulness are important for statistical
    learning of graphical models. Graphs are not sufficient for describing the association
    structure of a discrete distribution. Hypergraphs representing hierarchical log-linear
    models are considered instead, and the concept of parametric (strong-) faithfulness
    with respect to a hypergraph is introduced. Strong-faithfulness ensures the existence
    of uniformly consistent parameter estimators and enables building uniformly consistent
    procedures for a hypergraph search. The strength of association in a discrete
    distribution can be quantified with various measures, leading to different concepts
    of strong-faithfulness. Lower and upper bounds for the proportions of distributions
    that do not satisfy strong-faithfulness are computed for different parameterizations
    and measures of association.
author:
- first_name: Anna
  full_name: Klimova, Anna
  id: 31934120-F248-11E8-B48F-1D18A9856A87
  last_name: Klimova
- first_name: Caroline
  full_name: Uhler, Caroline
  id: 49ADD78E-F248-11E8-B48F-1D18A9856A87
  last_name: Uhler
  orcid: 0000-0002-7008-0216
- first_name: Tamás
  full_name: Rudas, Tamás
  last_name: Rudas
citation:
  ama: Klimova A, Uhler C, Rudas T. Faithfulness and learning hypergraphs from discrete
    distributions. <i>Computational Statistics &#38; Data Analysis</i>. 2015;87(7):57-72.
    doi:<a href="https://doi.org/10.1016/j.csda.2015.01.017">10.1016/j.csda.2015.01.017</a>
  apa: Klimova, A., Uhler, C., &#38; Rudas, T. (2015). Faithfulness and learning hypergraphs
    from discrete distributions. <i>Computational Statistics &#38; Data Analysis</i>.
    Elsevier. <a href="https://doi.org/10.1016/j.csda.2015.01.017">https://doi.org/10.1016/j.csda.2015.01.017</a>
  chicago: Klimova, Anna, Caroline Uhler, and Tamás Rudas. “Faithfulness and Learning
    Hypergraphs from Discrete Distributions.” <i>Computational Statistics &#38; Data
    Analysis</i>. Elsevier, 2015. <a href="https://doi.org/10.1016/j.csda.2015.01.017">https://doi.org/10.1016/j.csda.2015.01.017</a>.
  ieee: A. Klimova, C. Uhler, and T. Rudas, “Faithfulness and learning hypergraphs
    from discrete distributions,” <i>Computational Statistics &#38; Data Analysis</i>,
    vol. 87, no. 7. Elsevier, pp. 57–72, 2015.
  ista: Klimova A, Uhler C, Rudas T. 2015. Faithfulness and learning hypergraphs from
    discrete distributions. Computational Statistics &#38; Data Analysis. 87(7), 57–72.
  mla: Klimova, Anna, et al. “Faithfulness and Learning Hypergraphs from Discrete
    Distributions.” <i>Computational Statistics &#38; Data Analysis</i>, vol. 87,
    no. 7, Elsevier, 2015, pp. 57–72, doi:<a href="https://doi.org/10.1016/j.csda.2015.01.017">10.1016/j.csda.2015.01.017</a>.
  short: A. Klimova, C. Uhler, T. Rudas, Computational Statistics &#38; Data Analysis
    87 (2015) 57–72.
date_created: 2018-12-11T11:55:13Z
date_published: 2015-07-01T00:00:00Z
date_updated: 2021-01-12T06:54:43Z
day: '01'
department:
- _id: CaUh
doi: 10.1016/j.csda.2015.01.017
intvolume: '        87'
issue: '7'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: http://arxiv.org/abs/1404.6617
month: '07'
oa: 1
oa_version: Preprint
page: 57 - 72
publication: Computational Statistics & Data Analysis
publication_status: published
publisher: Elsevier
publist_id: '5062'
quality_controlled: '1'
scopus_import: 1
status: public
title: Faithfulness and learning hypergraphs from discrete distributions
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 87
year: '2015'
...
---
_id: '2025'
abstract:
- lang: eng
  text: Small GTP-binding proteins of the Ras superfamily play diverse roles in intracellular
    trafficking. Among them, the Rab, Arf, and Rho families function in successive
    steps of vesicle transport, in forming vesicles from donor membranes, directing
    vesicle trafficking toward target membranes and docking vesicles onto target membranes.
    These proteins act as molecular switches that are controlled by a cycle of GTP
    binding and hydrolysis regulated by guanine nucleotide exchange factors (GEFs)
    and GTPase-activating proteins (GAPs). In this study we explored the role of GAPs
    in the regulation of the endocytic pathway using fluorescently labeled yeast mating
    pheromone α-factor. Among 25 non-essential GAP mutants, we found that deletion
    of the GLO3 gene, encoding Arf-GAP protein, caused defective internalization of
    fluorescently labeled α-factor. Quantitative analysis revealed that glo3Δ cells
    show defective α-factor binding to the cell surface. Interestingly, Ste2p, the
    α-factor receptor, was mis-localized from the plasma membrane to the vacuole in
    glo3Δ cells. Domain deletion mutants of Glo3p revealed that a GAP-independent
    function, as well as the GAP activity, of Glo3p is important for both α-factor
    binding and Ste2p localization at the cell surface. Additionally, we found that
    deletion of the GLO3 gene affects the size and number of Arf1p-residing Golgi
    compartments and causes a defect in transport from the TGN to the plasma membrane.
    Furthermore, we demonstrated that glo3Δ cells were defective in the late endosome-to-TGN
    transport pathway, but not in the early endosome-to-TGN transport pathway. These
    findings suggest novel roles for Arf-GAP Glo3p in endocytic recycling of cell
    surface proteins.
author:
- first_name: Daiki
  full_name: Kawada, Daiki
  last_name: Kawada
- first_name: Hiromu
  full_name: Kobayashi, Hiromu
  last_name: Kobayashi
- first_name: Tsuyoshi
  full_name: Tomita, Tsuyoshi
  last_name: Tomita
- first_name: Eisuke
  full_name: Nakata, Eisuke
  last_name: Nakata
- first_name: Makoto
  full_name: Nagano, Makoto
  last_name: Nagano
- first_name: Daria E
  full_name: Siekhaus, Daria E
  id: 3D224B9E-F248-11E8-B48F-1D18A9856A87
  last_name: Siekhaus
  orcid: 0000-0001-8323-8353
- first_name: Junko
  full_name: Toshima, Junko
  last_name: Toshima
- first_name: Jiro
  full_name: Toshimaa, Jiro
  last_name: Toshimaa
citation:
  ama: Kawada D, Kobayashi H, Tomita T, et al. The yeast Arf-GAP Glo3p is required
    for the endocytic recycling of cell surface proteins. <i>Biochimica et Biophysica
    Acta - Molecular Cell Research</i>. 2015;1853(1):144-156. doi:<a href="https://doi.org/10.1016/j.bbamcr.2014.10.009">10.1016/j.bbamcr.2014.10.009</a>
  apa: Kawada, D., Kobayashi, H., Tomita, T., Nakata, E., Nagano, M., Siekhaus, D.
    E., … Toshimaa, J. (2015). The yeast Arf-GAP Glo3p is required for the endocytic
    recycling of cell surface proteins. <i>Biochimica et Biophysica Acta - Molecular
    Cell Research</i>. Elsevier. <a href="https://doi.org/10.1016/j.bbamcr.2014.10.009">https://doi.org/10.1016/j.bbamcr.2014.10.009</a>
  chicago: Kawada, Daiki, Hiromu Kobayashi, Tsuyoshi Tomita, Eisuke Nakata, Makoto
    Nagano, Daria E Siekhaus, Junko Toshima, and Jiro Toshimaa. “The Yeast Arf-GAP
    Glo3p Is Required for the Endocytic Recycling of Cell Surface Proteins.” <i>Biochimica
    et Biophysica Acta - Molecular Cell Research</i>. Elsevier, 2015. <a href="https://doi.org/10.1016/j.bbamcr.2014.10.009">https://doi.org/10.1016/j.bbamcr.2014.10.009</a>.
  ieee: D. Kawada <i>et al.</i>, “The yeast Arf-GAP Glo3p is required for the endocytic
    recycling of cell surface proteins,” <i>Biochimica et Biophysica Acta - Molecular
    Cell Research</i>, vol. 1853, no. 1. Elsevier, pp. 144–156, 2015.
  ista: Kawada D, Kobayashi H, Tomita T, Nakata E, Nagano M, Siekhaus DE, Toshima
    J, Toshimaa J. 2015. The yeast Arf-GAP Glo3p is required for the endocytic recycling
    of cell surface proteins. Biochimica et Biophysica Acta - Molecular Cell Research.
    1853(1), 144–156.
  mla: Kawada, Daiki, et al. “The Yeast Arf-GAP Glo3p Is Required for the Endocytic
    Recycling of Cell Surface Proteins.” <i>Biochimica et Biophysica Acta - Molecular
    Cell Research</i>, vol. 1853, no. 1, Elsevier, 2015, pp. 144–56, doi:<a href="https://doi.org/10.1016/j.bbamcr.2014.10.009">10.1016/j.bbamcr.2014.10.009</a>.
  short: D. Kawada, H. Kobayashi, T. Tomita, E. Nakata, M. Nagano, D.E. Siekhaus,
    J. Toshima, J. Toshimaa, Biochimica et Biophysica Acta - Molecular Cell Research
    1853 (2015) 144–156.
date_created: 2018-12-11T11:55:17Z
date_published: 2015-01-01T00:00:00Z
date_updated: 2021-01-12T06:54:48Z
day: '01'
ddc:
- '570'
department:
- _id: DaSi
doi: 10.1016/j.bbamcr.2014.10.009
file:
- access_level: open_access
  checksum: 5bb328edebb6a91337cadd7d63f961b7
  content_type: application/pdf
  creator: system
  date_created: 2018-12-12T10:12:18Z
  date_updated: 2020-07-14T12:45:25Z
  file_id: '4936'
  file_name: IST-2016-615-v1+1_BBAMCR.pdf
  file_size: 926685
  relation: main_file
file_date_updated: 2020-07-14T12:45:25Z
has_accepted_license: '1'
intvolume: '      1853'
issue: '1'
language:
- iso: eng
month: '01'
oa: 1
oa_version: Submitted Version
page: 144 - 156
publication: Biochimica et Biophysica Acta - Molecular Cell Research
publication_status: published
publisher: Elsevier
publist_id: '5047'
pubrep_id: '615'
quality_controlled: '1'
scopus_import: 1
status: public
title: The yeast Arf-GAP Glo3p is required for the endocytic recycling of cell surface
  proteins
tmp:
  image: /images/cc_by_nc_nd.png
  legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
    (CC BY-NC-ND 4.0)
  short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 1853
year: '2015'
...
---
_id: '2030'
abstract:
- lang: eng
  text: A hybrid-parallel direct-numerical-simulation method with application to turbulent
    Taylor-Couette flow is presented. The Navier-Stokes equations are discretized
    in cylindrical coordinates with the spectral Fourier-Galerkin method in the axial
    and azimuthal directions, and high-order finite differences in the radial direction.
    Time is advanced by a second-order, semi-implicit projection scheme, which requires
    the solution of five Helmholtz/Poisson equations, avoids staggered grids and renders
    very small slip velocities. Nonlinear terms are evaluated with the pseudospectral
    method. The code is parallelized using a hybrid MPI-OpenMP strategy, which, compared
    with a flat MPI parallelization, is simpler to implement, allows to reduce inter-node
    communications and MPI overhead that become relevant at high processor-core counts,
    and helps to contain the memory footprint. A strong scaling study shows that the
    hybrid code maintains scalability up to more than 20,000 processor cores and thus
    allows to perform simulations at higher resolutions than previously feasible.
    In particular, it opens up the possibility to simulate turbulent Taylor-Couette
    flows at Reynolds numbers up to O(105). This enables to probe hydrodynamic turbulence
    in Keplerian flows in experimentally relevant regimes.
author:
- first_name: Liang
  full_name: Shi, Liang
  id: 374A3F1A-F248-11E8-B48F-1D18A9856A87
  last_name: Shi
- first_name: Markus
  full_name: Rampp, Markus
  last_name: Rampp
- first_name: Björn
  full_name: Hof, Björn
  id: 3A374330-F248-11E8-B48F-1D18A9856A87
  last_name: Hof
  orcid: 0000-0003-2057-2754
- first_name: Marc
  full_name: Avila, Marc
  last_name: Avila
citation:
  ama: Shi L, Rampp M, Hof B, Avila M. A hybrid MPI-OpenMP parallel implementation
    for pseudospectral simulations with application to Taylor-Couette flow. <i>Computers
    and Fluids</i>. 2015;106(1):1-11. doi:<a href="https://doi.org/10.1016/j.compfluid.2014.09.021">10.1016/j.compfluid.2014.09.021</a>
  apa: Shi, L., Rampp, M., Hof, B., &#38; Avila, M. (2015). A hybrid MPI-OpenMP parallel
    implementation for pseudospectral simulations with application to Taylor-Couette
    flow. <i>Computers and Fluids</i>. Elsevier. <a href="https://doi.org/10.1016/j.compfluid.2014.09.021">https://doi.org/10.1016/j.compfluid.2014.09.021</a>
  chicago: Shi, Liang, Markus Rampp, Björn Hof, and Marc Avila. “A Hybrid MPI-OpenMP
    Parallel Implementation for Pseudospectral Simulations with Application to Taylor-Couette
    Flow.” <i>Computers and Fluids</i>. Elsevier, 2015. <a href="https://doi.org/10.1016/j.compfluid.2014.09.021">https://doi.org/10.1016/j.compfluid.2014.09.021</a>.
  ieee: L. Shi, M. Rampp, B. Hof, and M. Avila, “A hybrid MPI-OpenMP parallel implementation
    for pseudospectral simulations with application to Taylor-Couette flow,” <i>Computers
    and Fluids</i>, vol. 106, no. 1. Elsevier, pp. 1–11, 2015.
  ista: Shi L, Rampp M, Hof B, Avila M. 2015. A hybrid MPI-OpenMP parallel implementation
    for pseudospectral simulations with application to Taylor-Couette flow. Computers
    and Fluids. 106(1), 1–11.
  mla: Shi, Liang, et al. “A Hybrid MPI-OpenMP Parallel Implementation for Pseudospectral
    Simulations with Application to Taylor-Couette Flow.” <i>Computers and Fluids</i>,
    vol. 106, no. 1, Elsevier, 2015, pp. 1–11, doi:<a href="https://doi.org/10.1016/j.compfluid.2014.09.021">10.1016/j.compfluid.2014.09.021</a>.
  short: L. Shi, M. Rampp, B. Hof, M. Avila, Computers and Fluids 106 (2015) 1–11.
date_created: 2018-12-11T11:55:18Z
date_published: 2015-01-01T00:00:00Z
date_updated: 2021-01-12T06:54:51Z
day: '01'
department:
- _id: BjHo
doi: 10.1016/j.compfluid.2014.09.021
intvolume: '       106'
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: http://arxiv.org/abs/1311.2481
month: '01'
oa: 1
oa_version: Preprint
page: 1 - 11
publication: Computers and Fluids
publication_status: published
publisher: Elsevier
publist_id: '5042'
quality_controlled: '1'
scopus_import: 1
status: public
title: A hybrid MPI-OpenMP parallel implementation for pseudospectral simulations
  with application to Taylor-Couette flow
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 106
year: '2015'
...
---
_id: '2034'
abstract:
- lang: eng
  text: Opacity is a generic security property, that has been defined on (non-probabilistic)
    transition systems and later on Markov chains with labels. For a secret predicate,
    given as a subset of runs, and a function describing the view of an external observer,
    the value of interest for opacity is a measure of the set of runs disclosing the
    secret. We extend this definition to the richer framework of Markov decision processes,
    where non-deterministicchoice is combined with probabilistic transitions, and
    we study related decidability problems with partial or complete observation hypotheses
    for the schedulers. We prove that all questions are decidable with complete observation
    and ω-regular secrets. With partial observation, we prove that all quantitative
    questions are undecidable but the question whether a system is almost surely non-opaquebecomes
    decidable for a restricted class of ω-regular secrets, as well as for all ω-regular
    secrets under finite-memory schedulers.
author:
- first_name: Béatrice
  full_name: Bérard, Béatrice
  last_name: Bérard
- first_name: Krishnendu
  full_name: Chatterjee, Krishnendu
  id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
  last_name: Chatterjee
  orcid: 0000-0002-4561-241X
- first_name: Nathalie
  full_name: Sznajder, Nathalie
  last_name: Sznajder
citation:
  ama: Bérard B, Chatterjee K, Sznajder N. Probabilistic opacity for Markov decision
    processes. <i> Information Processing Letters</i>. 2015;115(1):52-59. doi:<a href="https://doi.org/10.1016/j.ipl.2014.09.001">10.1016/j.ipl.2014.09.001</a>
  apa: Bérard, B., Chatterjee, K., &#38; Sznajder, N. (2015). Probabilistic opacity
    for Markov decision processes. <i> Information Processing Letters</i>. Elsevier.
    <a href="https://doi.org/10.1016/j.ipl.2014.09.001">https://doi.org/10.1016/j.ipl.2014.09.001</a>
  chicago: Bérard, Béatrice, Krishnendu Chatterjee, and Nathalie Sznajder. “Probabilistic
    Opacity for Markov Decision Processes.” <i> Information Processing Letters</i>.
    Elsevier, 2015. <a href="https://doi.org/10.1016/j.ipl.2014.09.001">https://doi.org/10.1016/j.ipl.2014.09.001</a>.
  ieee: B. Bérard, K. Chatterjee, and N. Sznajder, “Probabilistic opacity for Markov
    decision processes,” <i> Information Processing Letters</i>, vol. 115, no. 1.
    Elsevier, pp. 52–59, 2015.
  ista: Bérard B, Chatterjee K, Sznajder N. 2015. Probabilistic opacity for Markov
    decision processes.  Information Processing Letters. 115(1), 52–59.
  mla: Bérard, Béatrice, et al. “Probabilistic Opacity for Markov Decision Processes.”
    <i> Information Processing Letters</i>, vol. 115, no. 1, Elsevier, 2015, pp. 52–59,
    doi:<a href="https://doi.org/10.1016/j.ipl.2014.09.001">10.1016/j.ipl.2014.09.001</a>.
  short: B. Bérard, K. Chatterjee, N. Sznajder,  Information Processing Letters 115
    (2015) 52–59.
date_created: 2018-12-11T11:55:20Z
date_published: 2015-01-01T00:00:00Z
date_updated: 2021-01-12T06:54:52Z
day: '01'
department:
- _id: KrCh
doi: 10.1016/j.ipl.2014.09.001
ec_funded: 1
intvolume: '       115'
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: http://arxiv.org/abs/1407.4225
month: '01'
oa: 1
oa_version: Preprint
page: 52 - 59
project:
- _id: 2584A770-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: P 23499-N23
  name: Modern Graph Algorithmic Techniques in Formal Verification
- _id: 25863FF4-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: S11407
  name: Game Theory
- _id: 2581B60A-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '279307'
  name: 'Quantitative Graph Games: Theory and Applications'
- _id: 2587B514-B435-11E9-9278-68D0E5697425
  name: Microsoft Research Faculty Fellowship
publication: ' Information Processing Letters'
publication_status: published
publisher: Elsevier
publist_id: '5025'
quality_controlled: '1'
scopus_import: 1
status: public
title: Probabilistic opacity for Markov decision processes
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 115
year: '2015'
...
---
_id: '2035'
abstract:
- lang: eng
  text: "Considering a continuous self-map and the induced endomorphism on homology,
    we study the eigenvalues and eigenspaces of the latter. Taking a filtration of
    representations, we define the persistence of the eigenspaces, effectively introducing
    a hierarchical organization of the map. The algorithm that computes this information
    for a finite sample is proved to be stable, and to give the correct answer for
    a sufficiently dense sample. Results computed with an implementation of the algorithm
    provide evidence of its practical utility.\r\n"
acknowledgement: This research is partially supported by the Toposys project FP7-ICT-318493-STREP,
  by ESF under the ACAT Research Network Programme, by the Russian Government under
  mega project 11.G34.31.0053, and by the Polish National Science Center under Grant
  No. N201 419639.
author:
- first_name: Herbert
  full_name: Edelsbrunner, Herbert
  id: 3FB178DA-F248-11E8-B48F-1D18A9856A87
  last_name: Edelsbrunner
  orcid: 0000-0002-9823-6833
- first_name: Grzegorz
  full_name: Jablonski, Grzegorz
  id: 4483EF78-F248-11E8-B48F-1D18A9856A87
  last_name: Jablonski
  orcid: 0000-0002-3536-9866
- first_name: Marian
  full_name: Mrozek, Marian
  last_name: Mrozek
citation:
  ama: Edelsbrunner H, Jablonski G, Mrozek M. The persistent homology of a self-map.
    <i>Foundations of Computational Mathematics</i>. 2015;15(5):1213-1244. doi:<a
    href="https://doi.org/10.1007/s10208-014-9223-y">10.1007/s10208-014-9223-y</a>
  apa: Edelsbrunner, H., Jablonski, G., &#38; Mrozek, M. (2015). The persistent homology
    of a self-map. <i>Foundations of Computational Mathematics</i>. Springer. <a href="https://doi.org/10.1007/s10208-014-9223-y">https://doi.org/10.1007/s10208-014-9223-y</a>
  chicago: Edelsbrunner, Herbert, Grzegorz Jablonski, and Marian Mrozek. “The Persistent
    Homology of a Self-Map.” <i>Foundations of Computational Mathematics</i>. Springer,
    2015. <a href="https://doi.org/10.1007/s10208-014-9223-y">https://doi.org/10.1007/s10208-014-9223-y</a>.
  ieee: H. Edelsbrunner, G. Jablonski, and M. Mrozek, “The persistent homology of
    a self-map,” <i>Foundations of Computational Mathematics</i>, vol. 15, no. 5.
    Springer, pp. 1213–1244, 2015.
  ista: Edelsbrunner H, Jablonski G, Mrozek M. 2015. The persistent homology of a
    self-map. Foundations of Computational Mathematics. 15(5), 1213–1244.
  mla: Edelsbrunner, Herbert, et al. “The Persistent Homology of a Self-Map.” <i>Foundations
    of Computational Mathematics</i>, vol. 15, no. 5, Springer, 2015, pp. 1213–44,
    doi:<a href="https://doi.org/10.1007/s10208-014-9223-y">10.1007/s10208-014-9223-y</a>.
  short: H. Edelsbrunner, G. Jablonski, M. Mrozek, Foundations of Computational Mathematics
    15 (2015) 1213–1244.
date_created: 2018-12-11T11:55:20Z
date_published: 2015-10-01T00:00:00Z
date_updated: 2021-01-12T06:54:53Z
day: '01'
ddc:
- '000'
department:
- _id: HeEd
doi: 10.1007/s10208-014-9223-y
ec_funded: 1
file:
- access_level: open_access
  checksum: 3566f3a8b0c1bc550e62914a88c584ff
  content_type: application/pdf
  creator: system
  date_created: 2018-12-12T10:08:10Z
  date_updated: 2020-07-14T12:45:26Z
  file_id: '4670'
  file_name: IST-2016-486-v1+1_s10208-014-9223-y.pdf
  file_size: 1317546
  relation: main_file
file_date_updated: 2020-07-14T12:45:26Z
has_accepted_license: '1'
intvolume: '        15'
issue: '5'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: 1213 - 1244
project:
- _id: 255D761E-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '318493'
  name: Topological Complex Systems
publication: Foundations of Computational Mathematics
publication_status: published
publisher: Springer
publist_id: '5022'
pubrep_id: '486'
quality_controlled: '1'
scopus_import: 1
status: public
title: The persistent homology of a self-map
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 15
year: '2015'
...
---
_id: '1383'
abstract:
- lang: eng
  text: In plants, vacuolar H+-ATPase (V-ATPase) activity acidifies both the trans-Golgi
    network/early endosome (TGN/EE) and the vacuole. This dual V-ATPase function has
    impeded our understanding of how the pH homeostasis within the plant TGN/EE controls
    exo- and endocytosis. Here, we show that the weak V-ATPase mutant deetiolated3
    (det3) displayed a pH increase in the TGN/EE, but not in the vacuole, strongly
    impairing secretion and recycling of the brassinosteroid receptor and the cellulose
    synthase complexes to the plasma membrane, in contrast to mutants lacking tonoplast-localized
    V-ATPase activity only. The brassinosteroid insensitivity and the cellulose deficiency
    defects in det3 were tightly correlated with reduced Golgi and TGN/EE motility.
    Thus, our results provide strong evidence that acidification of the TGN/EE, but
    not of the vacuole, is indispensable for functional secretion and recycling in
    plants.
article_number: '15094'
article_processing_charge: No
article_type: original
author:
- first_name: Luo
  full_name: Yu, Luo
  last_name: Yu
- first_name: Stefan
  full_name: Scholl, Stefan
  last_name: Scholl
- first_name: Anett
  full_name: Doering, Anett
  last_name: Doering
- first_name: Zhang
  full_name: Yi, Zhang
  last_name: Yi
- first_name: Niloufer
  full_name: Irani, Niloufer
  last_name: Irani
- first_name: Simone
  full_name: Di Rubbo, Simone
  last_name: Di Rubbo
- first_name: Lutz
  full_name: Neumetzler, Lutz
  last_name: Neumetzler
- first_name: Praveen
  full_name: Krishnamoorthy, Praveen
  last_name: Krishnamoorthy
- first_name: Isabelle
  full_name: Van Houtte, Isabelle
  last_name: Van Houtte
- first_name: Evelien
  full_name: Mylle, Evelien
  last_name: Mylle
- first_name: Volker
  full_name: Bischoff, Volker
  last_name: Bischoff
- first_name: Samantha
  full_name: Vernhettes, Samantha
  last_name: Vernhettes
- first_name: Johan
  full_name: Winne, Johan
  last_name: Winne
- first_name: Jirí
  full_name: Friml, Jirí
  id: 4159519E-F248-11E8-B48F-1D18A9856A87
  last_name: Friml
  orcid: 0000-0002-8302-7596
- first_name: York
  full_name: Stierhof, York
  last_name: Stierhof
- first_name: Karin
  full_name: Schumacher, Karin
  last_name: Schumacher
- first_name: Staffan
  full_name: Persson, Staffan
  last_name: Persson
- first_name: Eugenia
  full_name: Russinova, Eugenia
  last_name: Russinova
citation:
  ama: Yu L, Scholl S, Doering A, et al. V-ATPase activity in the TGN/EE is required
    for exocytosis and recycling in Arabidopsis. <i>Nature Plants</i>. 2015;1(7).
    doi:<a href="https://doi.org/10.1038/nplants.2015.94">10.1038/nplants.2015.94</a>
  apa: Yu, L., Scholl, S., Doering, A., Yi, Z., Irani, N., Di Rubbo, S., … Russinova,
    E. (2015). V-ATPase activity in the TGN/EE is required for exocytosis and recycling
    in Arabidopsis. <i>Nature Plants</i>. Nature Publishing Group. <a href="https://doi.org/10.1038/nplants.2015.94">https://doi.org/10.1038/nplants.2015.94</a>
  chicago: Yu, Luo, Stefan Scholl, Anett Doering, Zhang Yi, Niloufer Irani, Simone
    Di Rubbo, Lutz Neumetzler, et al. “V-ATPase Activity in the TGN/EE Is Required
    for Exocytosis and Recycling in Arabidopsis.” <i>Nature Plants</i>. Nature Publishing
    Group, 2015. <a href="https://doi.org/10.1038/nplants.2015.94">https://doi.org/10.1038/nplants.2015.94</a>.
  ieee: L. Yu <i>et al.</i>, “V-ATPase activity in the TGN/EE is required for exocytosis
    and recycling in Arabidopsis,” <i>Nature Plants</i>, vol. 1, no. 7. Nature Publishing
    Group, 2015.
  ista: Yu L, Scholl S, Doering A, Yi Z, Irani N, Di Rubbo S, Neumetzler L, Krishnamoorthy
    P, Van Houtte I, Mylle E, Bischoff V, Vernhettes S, Winne J, Friml J, Stierhof
    Y, Schumacher K, Persson S, Russinova E. 2015. V-ATPase activity in the TGN/EE
    is required for exocytosis and recycling in Arabidopsis. Nature Plants. 1(7),
    15094.
  mla: Yu, Luo, et al. “V-ATPase Activity in the TGN/EE Is Required for Exocytosis
    and Recycling in Arabidopsis.” <i>Nature Plants</i>, vol. 1, no. 7, 15094, Nature
    Publishing Group, 2015, doi:<a href="https://doi.org/10.1038/nplants.2015.94">10.1038/nplants.2015.94</a>.
  short: L. Yu, S. Scholl, A. Doering, Z. Yi, N. Irani, S. Di Rubbo, L. Neumetzler,
    P. Krishnamoorthy, I. Van Houtte, E. Mylle, V. Bischoff, S. Vernhettes, J. Winne,
    J. Friml, Y. Stierhof, K. Schumacher, S. Persson, E. Russinova, Nature Plants
    1 (2015).
date_created: 2018-12-11T11:51:42Z
date_published: 2015-07-06T00:00:00Z
date_updated: 2021-01-12T06:50:18Z
day: '06'
department:
- _id: JiFr
doi: 10.1038/nplants.2015.94
external_id:
  pmid:
  - '27250258'
intvolume: '         1'
issue: '7'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4905525/
month: '07'
oa: 1
oa_version: Submitted Version
pmid: 1
publication: Nature Plants
publication_status: published
publisher: Nature Publishing Group
publist_id: '5827'
quality_controlled: '1'
scopus_import: 1
status: public
title: V-ATPase activity in the TGN/EE is required for exocytosis and recycling in
  Arabidopsis
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 1
year: '2015'
...
---
_id: '1399'
abstract:
- lang: eng
  text: This thesis is concerned with the computation and approximation of intrinsic
    volumes. Given a smooth body M and a certain digital approximation of it, we develop
    algorithms to approximate various intrinsic volumes of M using only measurements
    taken from its digital approximations. The crucial idea behind our novel algorithms
    is to link the recent theory of persistent homology to the theory of intrinsic
    volumes via the Crofton formula from integral geometry and, in particular, via
    Euler characteristic computations. Our main contributions are a multigrid convergent
    digital algorithm to compute the first intrinsic volume of a solid body in R^n
    as well as an appropriate integration pipeline to approximate integral-geometric
    integrals defined over the Grassmannian manifold.
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Florian
  full_name: Pausinger, Florian
  id: 2A77D7A2-F248-11E8-B48F-1D18A9856A87
  last_name: Pausinger
  orcid: 0000-0002-8379-3768
citation:
  ama: Pausinger F. On the approximation of intrinsic volumes. 2015.
  apa: Pausinger, F. (2015). <i>On the approximation of intrinsic volumes</i>. Institute
    of Science and Technology Austria.
  chicago: Pausinger, Florian. “On the Approximation of Intrinsic Volumes.” Institute
    of Science and Technology Austria, 2015.
  ieee: F. Pausinger, “On the approximation of intrinsic volumes,” Institute of Science
    and Technology Austria, 2015.
  ista: Pausinger F. 2015. On the approximation of intrinsic volumes. Institute of
    Science and Technology Austria.
  mla: Pausinger, Florian. <i>On the Approximation of Intrinsic Volumes</i>. Institute
    of Science and Technology Austria, 2015.
  short: F. Pausinger, On the Approximation of Intrinsic Volumes, Institute of Science
    and Technology Austria, 2015.
date_created: 2018-12-11T11:51:48Z
date_published: 2015-06-01T00:00:00Z
date_updated: 2023-09-07T11:41:25Z
day: '01'
degree_awarded: PhD
department:
- _id: HeEd
language:
- iso: eng
month: '06'
oa_version: None
page: '144'
publication_identifier:
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
publist_id: '5808'
related_material:
  record:
  - id: '1662'
    relation: part_of_dissertation
    status: public
  - id: '1792'
    relation: part_of_dissertation
    status: public
  - id: '2255'
    relation: part_of_dissertation
    status: public
status: public
supervisor:
- first_name: Herbert
  full_name: Edelsbrunner, Herbert
  id: 3FB178DA-F248-11E8-B48F-1D18A9856A87
  last_name: Edelsbrunner
  orcid: 0000-0002-9823-6833
title: On the approximation of intrinsic volumes
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2015'
...
---
_id: '1400'
abstract:
- lang: eng
  text: Cancer results from an uncontrolled growth of abnormal cells. Sequentially
    accumulated genetic and epigenetic alterations decrease cell death and increase
    cell replication. We used mathematical models to quantify the effect of driver
    gene mutations. The recently developed targeted therapies can lead to dramatic
    regressions. However, in solid cancers, clinical responses are often short-lived
    because resistant cancer cells evolve. We estimated that approximately 50 different
    mutations can confer resistance to a typical targeted therapeutic agent. We find
    that resistant cells are likely to be present in expanded subclones before the
    start of the treatment. The dominant strategy to prevent the evolution of resistance
    is combination therapy. Our analytical results suggest that in most patients,
    dual therapy, but not monotherapy, can result in long-term disease control. However,
    long-term control can only occur if there are no possible mutations in the genome
    that can cause cross-resistance to both drugs. Furthermore, we showed that simultaneous
    therapy with two drugs is much more likely to result in long-term disease control
    than sequential therapy with the same drugs. To improve our understanding of the
    underlying subclonal evolution we reconstruct the evolutionary history of a patient's
    cancer from next-generation sequencing data of spatially-distinct DNA samples.
    Using a quantitative measure of genetic relatedness, we found that pancreatic
    cancers and their metastases demonstrated a higher level of relatedness than that
    expected for any two cells randomly taken from a normal tissue. This minimal amount
    of genetic divergence among advanced lesions indicates that genetic heterogeneity,
    when quantitatively defined, is not a fundamental feature of the natural history
    of untreated pancreatic cancers. Our newly developed, phylogenomic tool Treeomics
    finds evidence for seeding patterns of metastases and can directly be used to
    discover rules governing the evolution of solid malignancies to transform cancer
    into a more predictable disease.
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Johannes
  full_name: Reiter, Johannes
  id: 4A918E98-F248-11E8-B48F-1D18A9856A87
  last_name: Reiter
  orcid: 0000-0002-0170-7353
citation:
  ama: Reiter J. The subclonal evolution of cancer. 2015.
  apa: Reiter, J. (2015). <i>The subclonal evolution of cancer</i>. Institute of Science
    and Technology Austria.
  chicago: Reiter, Johannes. “The Subclonal Evolution of Cancer.” Institute of Science
    and Technology Austria, 2015.
  ieee: J. Reiter, “The subclonal evolution of cancer,” Institute of Science and Technology
    Austria, 2015.
  ista: Reiter J. 2015. The subclonal evolution of cancer. Institute of Science and
    Technology Austria.
  mla: Reiter, Johannes. <i>The Subclonal Evolution of Cancer</i>. Institute of Science
    and Technology Austria, 2015.
  short: J. Reiter, The Subclonal Evolution of Cancer, Institute of Science and Technology
    Austria, 2015.
date_created: 2018-12-11T11:51:48Z
date_published: 2015-04-01T00:00:00Z
date_updated: 2023-09-07T11:40:44Z
day: '01'
degree_awarded: PhD
department:
- _id: KrCh
language:
- iso: eng
month: '04'
oa_version: None
page: '183'
publication_identifier:
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
publist_id: '5807'
related_material:
  record:
  - id: '1709'
    relation: part_of_dissertation
    status: public
  - id: '2000'
    relation: part_of_dissertation
    status: public
  - id: '2247'
    relation: part_of_dissertation
    status: public
  - id: '2816'
    relation: part_of_dissertation
    status: public
  - id: '2858'
    relation: part_of_dissertation
    status: public
  - id: '3157'
    relation: part_of_dissertation
    status: public
  - id: '3260'
    relation: part_of_dissertation
    status: public
status: public
supervisor:
- first_name: Krishnendu
  full_name: Chatterjee, Krishnendu
  id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
  last_name: Chatterjee
  orcid: 0000-0002-4561-241X
title: The subclonal evolution of cancer
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2015'
...
---
_id: '1401'
abstract:
- lang: eng
  text: 'The human ability to recognize objects in complex scenes has driven research
    in the computer vision field over couple of decades. This thesis focuses on the
    object recognition task in images. That is, given the image, we want the computer
    system to be able to predict the class of the object that appears in the image.
    A recent successful attempt to bridge semantic understanding of the image perceived
    by humans and by computers uses attribute-based models. Attributes are semantic
    properties of the objects shared across different categories, which humans and
    computers can decide on. To explore the attribute-based models we take a statistical
    machine learning approach, and address two key learning challenges in view of
    object recognition task: learning augmented attributes as mid-level discriminative
    feature representation, and learning with attributes as privileged information.
    Our main contributions are parametric and non-parametric models and algorithms
    to solve these frameworks. In the parametric approach, we explore an autoencoder
    model combined with the large margin nearest neighbor principle for mid-level
    feature learning, and linear support vector machines for learning with privileged
    information. In the non-parametric approach, we propose a supervised Indian Buffet
    Process for automatic augmentation of semantic attributes, and explore the Gaussian
    Processes classification framework for learning with privileged information. A
    thorough experimental analysis shows the effectiveness of the proposed models
    in both parametric and non-parametric views.'
acknowledgement: "I would like to thank my supervisor, Christoph Lampert, for guidance
  throughout my studies and for patience in transforming me into a scientist, and
  my thesis committee, Chris Wojtan and Horst Bischof, for their help and advice.
  \r\n\r\nI would like to thank Elisabeth Hacker who perfectly assisted all my administrative
  needs and was always nice and friendly to me, and the campus team for making the
  IST Austria campus my second home. \r\nI was honored to collaborate with brilliant
  researchers and to learn from their experience. Undoubtedly, I learned most of all
  from Novi Quadrianto: brainstorming our projects and getting exciting results was
  the most enjoyable part of my work – thank you! I am also grateful to David Knowles,
  Zoubin Ghahramani, Daniel Hernández-Lobato, Kristian Kersting and Anastasia Pentina
  for the fantastic projects we worked on together, and to Kristen Grauman and Adriana
  Kovashka for the exceptional experience working with user studies. I would like
  to thank my colleagues at IST Austria and my office mates who shared their happy
  moods, scientific breakthroughs and thought-provoking conversations with me: Chao,
  Filip, Rustem, Asya, Sameh, Alex, Vlad, Mayu, Neel, Csaba, Thomas, Vladimir, Cristina,
  Alex Z., Avro, Amelie and Emilie, Andreas H. and Andreas E., Chris, Lena, Michael,
  Ali and Ipek, Vera, Igor, Katia. Special thanks to Morten for the countless games
  of table soccer we played together and the tournaments we teamed up for: we will
  definitely win next time:) A very warm hug to Asya for always being so inspiring
  and supportive to me, and for helping me to increase the proportion of female computer
  scientists in our group. "
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Viktoriia
  full_name: Sharmanska, Viktoriia
  id: 2EA6D09E-F248-11E8-B48F-1D18A9856A87
  last_name: Sharmanska
  orcid: 0000-0003-0192-9308
citation:
  ama: 'Sharmanska V. Learning with attributes for object recognition: Parametric
    and non-parametrics views. 2015. doi:<a href="https://doi.org/10.15479/at:ista:1401">10.15479/at:ista:1401</a>'
  apa: 'Sharmanska, V. (2015). <i>Learning with attributes for object recognition:
    Parametric and non-parametrics views</i>. Institute of Science and Technology
    Austria. <a href="https://doi.org/10.15479/at:ista:1401">https://doi.org/10.15479/at:ista:1401</a>'
  chicago: 'Sharmanska, Viktoriia. “Learning with Attributes for Object Recognition:
    Parametric and Non-Parametrics Views.” Institute of Science and Technology Austria,
    2015. <a href="https://doi.org/10.15479/at:ista:1401">https://doi.org/10.15479/at:ista:1401</a>.'
  ieee: 'V. Sharmanska, “Learning with attributes for object recognition: Parametric
    and non-parametrics views,” Institute of Science and Technology Austria, 2015.'
  ista: 'Sharmanska V. 2015. Learning with attributes for object recognition: Parametric
    and non-parametrics views. Institute of Science and Technology Austria.'
  mla: 'Sharmanska, Viktoriia. <i>Learning with Attributes for Object Recognition:
    Parametric and Non-Parametrics Views</i>. Institute of Science and Technology
    Austria, 2015, doi:<a href="https://doi.org/10.15479/at:ista:1401">10.15479/at:ista:1401</a>.'
  short: 'V. Sharmanska, Learning with Attributes for Object Recognition: Parametric
    and Non-Parametrics Views, Institute of Science and Technology Austria, 2015.'
date_created: 2018-12-11T11:51:48Z
date_published: 2015-04-01T00:00:00Z
date_updated: 2023-09-07T11:40:11Z
day: '01'
ddc:
- '000'
degree_awarded: PhD
department:
- _id: ChLa
- _id: GradSch
doi: 10.15479/at:ista:1401
file:
- access_level: open_access
  checksum: 3605b402bb6934e09ae4cf672c84baf7
  content_type: application/pdf
  creator: dernst
  date_created: 2021-02-22T11:33:17Z
  date_updated: 2021-02-22T11:33:17Z
  file_id: '9177'
  file_name: 2015_Thesis_Sharmanska.pdf
  file_size: 7964342
  relation: main_file
  success: 1
- access_level: closed
  checksum: e37593b3ee75bf3180629df2d6ca8f4e
  content_type: application/pdf
  creator: cchlebak
  date_created: 2021-11-16T14:40:45Z
  date_updated: 2021-11-17T13:47:24Z
  file_id: '10297'
  file_name: 2015_Thesis_Sharmanska_pdfa.pdf
  file_size: 7372241
  relation: main_file
file_date_updated: 2021-11-17T13:47:24Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- url: http://users.sussex.ac.uk/~nq28/viktoriia/Thesis_Sharmanska.pdf
month: '04'
oa: 1
oa_version: Published Version
page: '144'
publication_identifier:
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
publist_id: '5806'
status: public
supervisor:
- first_name: Christoph
  full_name: Lampert, Christoph
  id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
  last_name: Lampert
  orcid: 0000-0001-8622-7887
title: 'Learning with attributes for object recognition: Parametric and non-parametrics
  views'
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2015'
...
---
_id: '1424'
abstract:
- lang: eng
  text: We consider the problem of statistical computations with persistence diagrams,
    a summary representation of topological features in data. These diagrams encode
    persistent homology, a widely used invariant in topological data analysis. While
    several avenues towards a statistical treatment of the diagrams have been explored
    recently, we follow an alternative route that is motivated by the success of methods
    based on the embedding of probability measures into reproducing kernel Hilbert
    spaces. In fact, a positive definite kernel on persistence diagrams has recently
    been proposed, connecting persistent homology to popular kernel-based learning
    techniques such as support vector machines. However, important properties of that
    kernel enabling a principled use in the context of probability measure embeddings
    remain to be explored. Our contribution is to close this gap by proving universality
    of a variant of the original kernel, and to demonstrate its effective use in twosample
    hypothesis testing on synthetic as well as real-world data.
acknowledgement: This work was partially supported by the Austrian Science FUnd, project
  no. KLI 00012.
alternative_title:
- Advances in Neural Information Processing Systems
author:
- first_name: Roland
  full_name: Kwitt, Roland
  last_name: Kwitt
- first_name: Stefan
  full_name: Huber, Stefan
  id: 4700A070-F248-11E8-B48F-1D18A9856A87
  last_name: Huber
  orcid: 0000-0002-8871-5814
- first_name: Marc
  full_name: Niethammer, Marc
  last_name: Niethammer
- first_name: Weili
  full_name: Lin, Weili
  last_name: Lin
- first_name: Ulrich
  full_name: Bauer, Ulrich
  id: 2ADD483A-F248-11E8-B48F-1D18A9856A87
  last_name: Bauer
  orcid: 0000-0002-9683-0724
citation:
  ama: 'Kwitt R, Huber S, Niethammer M, Lin W, Bauer U. Statistical topological data
    analysis-A kernel perspective. In: Vol 28. Neural Information Processing Systems;
    2015:3070-3078.'
  apa: 'Kwitt, R., Huber, S., Niethammer, M., Lin, W., &#38; Bauer, U. (2015). Statistical
    topological data analysis-A kernel perspective (Vol. 28, pp. 3070–3078). Presented
    at the NIPS: Neural Information Processing Systems, Montreal, Canada: Neural Information
    Processing Systems.'
  chicago: Kwitt, Roland, Stefan Huber, Marc Niethammer, Weili Lin, and Ulrich Bauer.
    “Statistical Topological Data Analysis-A Kernel Perspective,” 28:3070–78. Neural
    Information Processing Systems, 2015.
  ieee: 'R. Kwitt, S. Huber, M. Niethammer, W. Lin, and U. Bauer, “Statistical topological
    data analysis-A kernel perspective,” presented at the NIPS: Neural Information
    Processing Systems, Montreal, Canada, 2015, vol. 28, pp. 3070–3078.'
  ista: 'Kwitt R, Huber S, Niethammer M, Lin W, Bauer U. 2015. Statistical topological
    data analysis-A kernel perspective. NIPS: Neural Information Processing Systems,
    Advances in Neural Information Processing Systems, vol. 28, 3070–3078.'
  mla: Kwitt, Roland, et al. <i>Statistical Topological Data Analysis-A Kernel Perspective</i>.
    Vol. 28, Neural Information Processing Systems, 2015, pp. 3070–78.
  short: R. Kwitt, S. Huber, M. Niethammer, W. Lin, U. Bauer, in:, Neural Information
    Processing Systems, 2015, pp. 3070–3078.
conference:
  end_date: 2015-12-12
  location: Montreal, Canada
  name: 'NIPS: Neural Information Processing Systems'
  start_date: 2015-12-07
date_created: 2018-12-11T11:51:56Z
date_published: 2015-12-01T00:00:00Z
date_updated: 2021-01-12T06:50:38Z
day: '01'
department:
- _id: HeEd
intvolume: '        28'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://papers.nips.cc/paper/5887-statistical-topological-data-analysis-a-kernel-perspective
month: '12'
oa: 1
oa_version: Submitted Version
page: 3070 - 3078
publication_status: published
publisher: Neural Information Processing Systems
publist_id: '5782'
quality_controlled: '1'
status: public
title: Statistical topological data analysis-A kernel perspective
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 28
year: '2015'
...
---
_id: '1425'
abstract:
- lang: eng
  text: 'In this work we aim at extending the theoretical foundations of lifelong
    learning. Previous work analyzing this scenario is based on the assumption that
    learning tasks are sampled i.i.d. from a task environment or limited to strongly
    constrained data distributions. Instead, we study two scenarios when lifelong
    learning is possible, even though the observed tasks do not form an i.i.d. sample:
    first, when they are sampled from the same environment, but possibly with dependencies,
    and second, when the task environment is allowed to change over time in a consistent
    way. In the first case we prove a PAC-Bayesian theorem that can be seen as a direct
    generalization of the analogous previous result for the i.i.d. case. For the second
    scenario we propose to learn an inductive bias in form of a transfer procedure.
    We present a generalization bound and show on a toy example how it can be used
    to identify a beneficial transfer algorithm.'
alternative_title:
- Advances in Neural Information Processing Systems
author:
- first_name: Anastasia
  full_name: Pentina, Anastasia
  id: 42E87FC6-F248-11E8-B48F-1D18A9856A87
  last_name: Pentina
- first_name: Christoph
  full_name: Lampert, Christoph
  id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
  last_name: Lampert
  orcid: 0000-0001-8622-7887
citation:
  ama: 'Pentina A, Lampert C. Lifelong learning with non-i.i.d. tasks. In: Vol 2015.
    Neural Information Processing Systems; 2015:1540-1548.'
  apa: 'Pentina, A., &#38; Lampert, C. (2015). Lifelong learning with non-i.i.d. tasks
    (Vol. 2015, pp. 1540–1548). Presented at the NIPS: Neural Information Processing
    Systems, Montreal, Canada: Neural Information Processing Systems.'
  chicago: Pentina, Anastasia, and Christoph Lampert. “Lifelong Learning with Non-i.i.d.
    Tasks,” 2015:1540–48. Neural Information Processing Systems, 2015.
  ieee: 'A. Pentina and C. Lampert, “Lifelong learning with non-i.i.d. tasks,” presented
    at the NIPS: Neural Information Processing Systems, Montreal, Canada, 2015, vol.
    2015, pp. 1540–1548.'
  ista: 'Pentina A, Lampert C. 2015. Lifelong learning with non-i.i.d. tasks. NIPS:
    Neural Information Processing Systems, Advances in Neural Information Processing
    Systems, vol. 2015, 1540–1548.'
  mla: Pentina, Anastasia, and Christoph Lampert. <i>Lifelong Learning with Non-i.i.d.
    Tasks</i>. Vol. 2015, Neural Information Processing Systems, 2015, pp. 1540–48.
  short: A. Pentina, C. Lampert, in:, Neural Information Processing Systems, 2015,
    pp. 1540–1548.
conference:
  end_date: 2015-12-12
  location: Montreal, Canada
  name: 'NIPS: Neural Information Processing Systems'
  start_date: 2015-12-07
date_created: 2018-12-11T11:51:57Z
date_published: 2015-01-01T00:00:00Z
date_updated: 2021-01-12T06:50:39Z
day: '01'
department:
- _id: ChLa
ec_funded: 1
intvolume: '      2015'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: http://papers.nips.cc/paper/6007-lifelong-learning-with-non-iid-tasks
month: '01'
oa: 1
oa_version: None
page: 1540 - 1548
project:
- _id: 2532554C-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '308036'
  name: Lifelong Learning of Visual Scene Understanding
publication_status: published
publisher: Neural Information Processing Systems
publist_id: '5781'
quality_controlled: '1'
scopus_import: 1
status: public
title: Lifelong learning with non-i.i.d. tasks
type: conference
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 2015
year: '2015'
...
---
_id: '1430'
abstract:
- lang: eng
  text: Evolutionary algorithms (EAs) form a popular optimisation paradigm inspired
    by natural evolution. In recent years the field of evolutionary computation has
    developed a rigorous analytical theory to analyse their runtime on many illustrative
    problems. Here we apply this theory to a simple model of natural evolution. In
    the Strong Selection Weak Mutation (SSWM) evolutionary regime the time between
    occurrence of new mutations is much longer than the time it takes for a new beneficial
    mutation to take over the population. In this situation, the population only contains
    copies of one genotype and evolution can be modelled as a (1+1)-type process where
    the probability of accepting a new genotype (improvements or worsenings) depends
    on the change in fitness. We present an initial runtime analysis of SSWM, quantifying
    its performance for various parameters and investigating differences to the (1+1)
    EA. We show that SSWM can have a moderate advantage over the (1+1) EA at crossing
    fitness valleys and study an example where SSWM outperforms the (1+1) EA by taking
    advantage of information on the fitness gradient.
author:
- first_name: Tiago
  full_name: Paixao, Tiago
  id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
  last_name: Paixao
  orcid: 0000-0003-2361-3953
- first_name: Dirk
  full_name: Sudholt, Dirk
  last_name: Sudholt
- first_name: Jorge
  full_name: Heredia, Jorge
  last_name: Heredia
- first_name: Barbora
  full_name: Trubenova, Barbora
  id: 42302D54-F248-11E8-B48F-1D18A9856A87
  last_name: Trubenova
  orcid: 0000-0002-6873-2967
citation:
  ama: 'Paixao T, Sudholt D, Heredia J, Trubenova B. First steps towards a runtime
    comparison of natural and artificial evolution. In: <i>Proceedings of the 2015
    Annual Conference on Genetic and Evolutionary Computation</i>. ACM; 2015:1455-1462.
    doi:<a href="https://doi.org/10.1145/2739480.2754758">10.1145/2739480.2754758</a>'
  apa: 'Paixao, T., Sudholt, D., Heredia, J., &#38; Trubenova, B. (2015). First steps
    towards a runtime comparison of natural and artificial evolution. In <i>Proceedings
    of the 2015 Annual Conference on Genetic and Evolutionary Computation</i> (pp.
    1455–1462). Madrid, Spain: ACM. <a href="https://doi.org/10.1145/2739480.2754758">https://doi.org/10.1145/2739480.2754758</a>'
  chicago: Paixao, Tiago, Dirk Sudholt, Jorge Heredia, and Barbora Trubenova. “First
    Steps towards a Runtime Comparison of Natural and Artificial Evolution.” In <i>Proceedings
    of the 2015 Annual Conference on Genetic and Evolutionary Computation</i>, 1455–62.
    ACM, 2015. <a href="https://doi.org/10.1145/2739480.2754758">https://doi.org/10.1145/2739480.2754758</a>.
  ieee: T. Paixao, D. Sudholt, J. Heredia, and B. Trubenova, “First steps towards
    a runtime comparison of natural and artificial evolution,” in <i>Proceedings of
    the 2015 Annual Conference on Genetic and Evolutionary Computation</i>, Madrid,
    Spain, 2015, pp. 1455–1462.
  ista: 'Paixao T, Sudholt D, Heredia J, Trubenova B. 2015. First steps towards a
    runtime comparison of natural and artificial evolution. Proceedings of the 2015
    Annual Conference on Genetic and Evolutionary Computation. GECCO: Genetic and
    evolutionary computation conference, 1455–1462.'
  mla: Paixao, Tiago, et al. “First Steps towards a Runtime Comparison of Natural
    and Artificial Evolution.” <i>Proceedings of the 2015 Annual Conference on Genetic
    and Evolutionary Computation</i>, ACM, 2015, pp. 1455–62, doi:<a href="https://doi.org/10.1145/2739480.2754758">10.1145/2739480.2754758</a>.
  short: T. Paixao, D. Sudholt, J. Heredia, B. Trubenova, in:, Proceedings of the
    2015 Annual Conference on Genetic and Evolutionary Computation, ACM, 2015, pp.
    1455–1462.
conference:
  end_date: 2015-07-15
  location: Madrid, Spain
  name: 'GECCO: Genetic and evolutionary computation conference'
  start_date: 2015-07-11
date_created: 2018-12-11T11:51:58Z
date_published: 2015-07-11T00:00:00Z
date_updated: 2021-01-12T06:50:41Z
day: '11'
department:
- _id: NiBa
- _id: CaGu
doi: 10.1145/2739480.2754758
ec_funded: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: http://arxiv.org/abs/1504.06260
month: '07'
oa: 1
oa_version: Preprint
page: 1455 - 1462
project:
- _id: 25B1EC9E-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '618091'
  name: Speed of Adaptation in Population Genetics and Evolutionary Computation
publication: Proceedings of the 2015 Annual Conference on Genetic and Evolutionary
  Computation
publication_status: published
publisher: ACM
publist_id: '5768'
quality_controlled: '1'
scopus_import: 1
status: public
title: First steps towards a runtime comparison of natural and artificial evolution
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2015'
...
---
_id: '1474'
abstract:
- lang: eng
  text: Cryptographic access control offers selective access to encrypted data via
    a combination of key management and functionality-rich cryptographic schemes,
    such as attribute-based encryption. Using this approach, publicly available meta-data
    may inadvertently leak information on the access policy that is enforced by cryptography,
    which renders cryptographic access control unusable in settings where this information
    is highly sensitive. We begin to address this problem by presenting rigorous definitions
    for policy privacy in cryptographic access control. For concreteness we set our
    results in the model of Role-Based Access Control (RBAC), where we identify and
    formalize several different flavors of privacy, however, our framework should
    serve as inspiration for other models of access control. Based on our insights
    we propose a new system which significantly improves on the privacy properties
    of state-of-the-art constructions. Our design is based on a novel type of privacy-preserving
    attribute-based encryption, which we introduce and show how to instantiate. We
    present our results in the context of a cryptographic RBAC system by Ferrara et
    al. (CSF'13), which uses cryptography to control read access to files, while write
    access is still delegated to trusted monitors. We give an extension of the construction
    that permits cryptographic control over write access. Our construction assumes
    that key management uses out-of-band channels between the policy enforcer and
    the users but eliminates completely the need for monitoring read/write access
    to the data.
article_processing_charge: No
author:
- first_name: Anna
  full_name: Ferrara, Anna
  last_name: Ferrara
- first_name: Georg
  full_name: Fuchsbauer, Georg
  id: 46B4C3EE-F248-11E8-B48F-1D18A9856A87
  last_name: Fuchsbauer
- first_name: Bin
  full_name: Liu, Bin
  last_name: Liu
- first_name: Bogdan
  full_name: Warinschi, Bogdan
  last_name: Warinschi
citation:
  ama: 'Ferrara A, Fuchsbauer G, Liu B, Warinschi B. Policy privacy in cryptographic
    access control. In: IEEE; 2015:46-60. doi:<a href="https://doi.org/10.1109/CSF.2015.11">10.1109/CSF.2015.11</a>'
  apa: 'Ferrara, A., Fuchsbauer, G., Liu, B., &#38; Warinschi, B. (2015). Policy privacy
    in cryptographic access control (pp. 46–60). Presented at the CSF: Computer Security
    Foundations, Verona, Italy: IEEE. <a href="https://doi.org/10.1109/CSF.2015.11">https://doi.org/10.1109/CSF.2015.11</a>'
  chicago: Ferrara, Anna, Georg Fuchsbauer, Bin Liu, and Bogdan Warinschi. “Policy
    Privacy in Cryptographic Access Control,” 46–60. IEEE, 2015. <a href="https://doi.org/10.1109/CSF.2015.11">https://doi.org/10.1109/CSF.2015.11</a>.
  ieee: 'A. Ferrara, G. Fuchsbauer, B. Liu, and B. Warinschi, “Policy privacy in cryptographic
    access control,” presented at the CSF: Computer Security Foundations, Verona,
    Italy, 2015, pp. 46–60.'
  ista: 'Ferrara A, Fuchsbauer G, Liu B, Warinschi B. 2015. Policy privacy in cryptographic
    access control. CSF: Computer Security Foundations, 46–60.'
  mla: Ferrara, Anna, et al. <i>Policy Privacy in Cryptographic Access Control</i>.
    IEEE, 2015, pp. 46–60, doi:<a href="https://doi.org/10.1109/CSF.2015.11">10.1109/CSF.2015.11</a>.
  short: A. Ferrara, G. Fuchsbauer, B. Liu, B. Warinschi, in:, IEEE, 2015, pp. 46–60.
conference:
  end_date: 2015-07-17
  location: Verona, Italy
  name: 'CSF: Computer Security Foundations'
  start_date: 2015-07-13
date_created: 2018-12-11T11:52:14Z
date_published: 2015-09-04T00:00:00Z
date_updated: 2021-01-12T06:50:59Z
day: '04'
department:
- _id: KrPi
doi: 10.1109/CSF.2015.11
ec_funded: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: http://epubs.surrey.ac.uk/808055/
month: '09'
oa: 1
oa_version: Submitted Version
page: 46-60
project:
- _id: 258C570E-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '259668'
  name: Provable Security for Physical Cryptography
publication_status: published
publisher: IEEE
publist_id: '5722'
quality_controlled: '1'
status: public
title: Policy privacy in cryptographic access control
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2015'
...
---
_id: '5429'
abstract:
- lang: eng
  text: "We consider Markov decision processes (MDPs) with multiple limit-average
    (or mean-payoff) objectives. \r\nThere have been two different views: (i) the
    expectation semantics, where the goal is to optimize the expected mean-payoff
    objective, and (ii) the satisfaction semantics, where the goal is to maximize
    the probability of runs such that the mean-payoff value stays above a given vector.
    \ \r\nWe consider the problem where the goal is to optimize the expectation under
    the constraint that the satisfaction semantics is ensured, and thus consider a
    generalization that unifies the existing semantics.\r\nOur problem captures the
    notion of optimization with respect to strategies that are risk-averse (i.e.,
    ensures certain probabilistic guarantee).\r\nOur main results are algorithms for
    the decision problem which are always polynomial in the size of the MDP. We also
    show that an approximation of the Pareto-curve can be computed in time polynomial
    in the size of the MDP, and the approximation factor, but exponential in the number
    of dimensions.\r\nFinally, we present a complete characterization of the strategy
    complexity (in terms of memory bounds and randomization) required to solve our
    problem."
alternative_title:
- IST Austria Technical Report
author:
- first_name: Krishnendu
  full_name: Chatterjee, Krishnendu
  id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
  last_name: Chatterjee
  orcid: 0000-0002-4561-241X
- first_name: Zuzana
  full_name: Komarkova, Zuzana
  last_name: Komarkova
- first_name: Jan
  full_name: Kretinsky, Jan
  id: 44CEF464-F248-11E8-B48F-1D18A9856A87
  last_name: Kretinsky
  orcid: 0000-0002-8122-2881
citation:
  ama: Chatterjee K, Komarkova Z, Kretinsky J. <i>Unifying Two Views on Multiple Mean-Payoff
    Objectives in Markov Decision Processes</i>. IST Austria; 2015. doi:<a href="https://doi.org/10.15479/AT:IST-2015-318-v1-1">10.15479/AT:IST-2015-318-v1-1</a>
  apa: Chatterjee, K., Komarkova, Z., &#38; Kretinsky, J. (2015). <i>Unifying two
    views on multiple mean-payoff objectives in Markov decision processes</i>. IST
    Austria. <a href="https://doi.org/10.15479/AT:IST-2015-318-v1-1">https://doi.org/10.15479/AT:IST-2015-318-v1-1</a>
  chicago: Chatterjee, Krishnendu, Zuzana Komarkova, and Jan Kretinsky. <i>Unifying
    Two Views on Multiple Mean-Payoff Objectives in Markov Decision Processes</i>.
    IST Austria, 2015. <a href="https://doi.org/10.15479/AT:IST-2015-318-v1-1">https://doi.org/10.15479/AT:IST-2015-318-v1-1</a>.
  ieee: K. Chatterjee, Z. Komarkova, and J. Kretinsky, <i>Unifying two views on multiple
    mean-payoff objectives in Markov decision processes</i>. IST Austria, 2015.
  ista: Chatterjee K, Komarkova Z, Kretinsky J. 2015. Unifying two views on multiple
    mean-payoff objectives in Markov decision processes, IST Austria, 41p.
  mla: Chatterjee, Krishnendu, et al. <i>Unifying Two Views on Multiple Mean-Payoff
    Objectives in Markov Decision Processes</i>. IST Austria, 2015, doi:<a href="https://doi.org/10.15479/AT:IST-2015-318-v1-1">10.15479/AT:IST-2015-318-v1-1</a>.
  short: K. Chatterjee, Z. Komarkova, J. Kretinsky, Unifying Two Views on Multiple
    Mean-Payoff Objectives in Markov Decision Processes, IST Austria, 2015.
date_created: 2018-12-12T11:39:17Z
date_published: 2015-01-12T00:00:00Z
date_updated: 2023-02-23T12:26:16Z
day: '12'
ddc:
- '004'
department:
- _id: KrCh
doi: 10.15479/AT:IST-2015-318-v1-1
file:
- access_level: open_access
  checksum: e4869a584567c506349abda9c8ec7db3
  content_type: application/pdf
  creator: system
  date_created: 2018-12-12T11:54:11Z
  date_updated: 2020-07-14T12:46:52Z
  file_id: '5533'
  file_name: IST-2015-318-v1+1_main.pdf
  file_size: 689863
  relation: main_file
file_date_updated: 2020-07-14T12:46:52Z
has_accepted_license: '1'
language:
- iso: eng
month: '01'
oa: 1
oa_version: Published Version
page: '41'
publication_identifier:
  issn:
  - 2664-1690
publication_status: published
publisher: IST Austria
pubrep_id: '318'
related_material:
  record:
  - id: '1657'
    relation: later_version
    status: public
  - id: '466'
    relation: later_version
    status: public
  - id: '5435'
    relation: later_version
    status: public
status: public
title: Unifying two views on multiple mean-payoff objectives in Markov decision processes
type: technical_report
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2015'
...
---
_id: '5430'
abstract:
- lang: eng
  text: We consider the core algorithmic problems related to verification of systems
    with respect to three classical quantitative properties, namely, the mean- payoff
    property, the ratio property, and the minimum initial credit for energy property.
    The algorithmic problem given a graph and a quantitative property asks to compute
    the optimal value (the infimum value over all traces) from every node of the graph.
    We consider graphs with constant treewidth, and it is well-known that the control-flow
    graphs of most programs have constant treewidth. Let n denote the number of nodes
    of a graph, m the number of edges (for constant treewidth graphs m = O ( n ) )
    and W the largest absolute value of the weights. Our main theoretical results
    are as follows. First, for constant treewidth graphs we present an algorithm that
    approximates the mean-payoff value within a mul- tiplicative factor of ∊ in time
    O ( n · log( n/∊ )) and linear space, as compared to the classical algorithms
    that require quadratic time. Second, for the ratio property we present an algorithm
    that for constant treewidth graphs works in time O ( n · log( | a · b · n | ))
    = O ( n · log( n · W )) , when the output is a b , as compared to the previously
    best known algorithm with running time O ( n 2 · log( n · W )) . Third, for the
    minimum initial credit problem we show that (i) for general graphs the problem
    can be solved in O ( n 2 · m ) time and the associated decision problem can be
    solved in O ( n · m ) time, improving the previous known O ( n 3 · m · log( n
    · W )) and O ( n 2 · m ) bounds, respectively; and (ii) for constant treewidth
    graphs we present an algorithm that requires O ( n · log n ) time, improving the
    previous known O ( n 4 · log( n · W )) bound. We have implemented some of our
    algorithms and show that they present a significant speedup on standard benchmarks.
alternative_title:
- IST Austria Technical Report
author:
- first_name: Krishnendu
  full_name: Chatterjee, Krishnendu
  id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
  last_name: Chatterjee
  orcid: 0000-0002-4561-241X
- first_name: Rasmus
  full_name: Ibsen-Jensen, Rasmus
  id: 3B699956-F248-11E8-B48F-1D18A9856A87
  last_name: Ibsen-Jensen
  orcid: 0000-0003-4783-0389
- first_name: Andreas
  full_name: Pavlogiannis, Andreas
  id: 49704004-F248-11E8-B48F-1D18A9856A87
  last_name: Pavlogiannis
  orcid: 0000-0002-8943-0722
citation:
  ama: Chatterjee K, Ibsen-Jensen R, Pavlogiannis A. <i>Faster Algorithms for Quantitative
    Verification in Constant Treewidth Graphs</i>. IST Austria; 2015. doi:<a href="https://doi.org/10.15479/AT:IST-2015-319-v1-1">10.15479/AT:IST-2015-319-v1-1</a>
  apa: Chatterjee, K., Ibsen-Jensen, R., &#38; Pavlogiannis, A. (2015). <i>Faster
    algorithms for quantitative verification in constant treewidth graphs</i>. IST
    Austria. <a href="https://doi.org/10.15479/AT:IST-2015-319-v1-1">https://doi.org/10.15479/AT:IST-2015-319-v1-1</a>
  chicago: Chatterjee, Krishnendu, Rasmus Ibsen-Jensen, and Andreas Pavlogiannis.
    <i>Faster Algorithms for Quantitative Verification in Constant Treewidth Graphs</i>.
    IST Austria, 2015. <a href="https://doi.org/10.15479/AT:IST-2015-319-v1-1">https://doi.org/10.15479/AT:IST-2015-319-v1-1</a>.
  ieee: K. Chatterjee, R. Ibsen-Jensen, and A. Pavlogiannis, <i>Faster algorithms
    for quantitative verification in constant treewidth graphs</i>. IST Austria, 2015.
  ista: Chatterjee K, Ibsen-Jensen R, Pavlogiannis A. 2015. Faster algorithms for
    quantitative verification in constant treewidth graphs, IST Austria, 31p.
  mla: Chatterjee, Krishnendu, et al. <i>Faster Algorithms for Quantitative Verification
    in Constant Treewidth Graphs</i>. IST Austria, 2015, doi:<a href="https://doi.org/10.15479/AT:IST-2015-319-v1-1">10.15479/AT:IST-2015-319-v1-1</a>.
  short: K. Chatterjee, R. Ibsen-Jensen, A. Pavlogiannis, Faster Algorithms for Quantitative
    Verification in Constant Treewidth Graphs, IST Austria, 2015.
date_created: 2018-12-12T11:39:17Z
date_published: 2015-02-10T00:00:00Z
date_updated: 2023-02-23T12:26:22Z
day: '10'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.15479/AT:IST-2015-319-v1-1
file:
- access_level: open_access
  checksum: 62c6ea01e342553dcafb88a070fb1ad5
  content_type: application/pdf
  creator: system
  date_created: 2018-12-12T11:53:21Z
  date_updated: 2020-07-14T12:46:52Z
  file_id: '5482'
  file_name: IST-2015-319-v1+1_long.pdf
  file_size: 1089651
  relation: main_file
file_date_updated: 2020-07-14T12:46:52Z
has_accepted_license: '1'
language:
- iso: eng
month: '02'
oa: 1
oa_version: Published Version
page: '31'
publication_identifier:
  issn:
  - 2664-1690
publication_status: published
publisher: IST Austria
pubrep_id: '319'
related_material:
  record:
  - id: '1607'
    relation: later_version
    status: public
  - id: '5437'
    relation: later_version
    status: public
status: public
title: Faster algorithms for quantitative verification in constant treewidth graphs
type: technical_report
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2015'
...
---
_id: '5431'
abstract:
- lang: eng
  text: "We consider finite-state concurrent stochastic games, played by k>=2 players
    for an infinite number of rounds, where in every round, each player simultaneously
    and independently of the other players chooses an action, whereafter the successor
    state is determined by a probability distribution given by the current state and
    the chosen actions. We consider reachability objectives that given a target set
    of states require that some state in the target set is visited, and the dual safety
    objectives that given a target set require that only states in the target set
    are visited. We are interested in the complexity of stationary strategies measured
    by their patience, which is defined as the inverse of the smallest non-zero probability
    employed.\r\n\r\n Our main results are as follows: We show that in two-player
    zero-sum concurrent stochastic games (with reachability objective for one player
    and the complementary safety objective for the other player): (i) the optimal
    bound on the patience of optimal and epsilon-optimal strategies, for both players
    is doubly exponential; and (ii) even in games with a single non-absorbing state
    exponential (in the number of actions) patience is necessary. In general we study
    the class of non-zero-sum games admitting epsilon-Nash equilibria. We show that
    if there is at least one player with reachability objective, then doubly-exponential
    patience is needed in general for epsilon-Nash equilibrium strategies, whereas
    in contrast if all players have safety objectives, then the optimal bound on patience
    for epsilon-Nash equilibrium strategies is only exponential."
alternative_title:
- IST Austria Technical Report
author:
- first_name: Krishnendu
  full_name: Chatterjee, Krishnendu
  id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
  last_name: Chatterjee
  orcid: 0000-0002-4561-241X
- first_name: Rasmus
  full_name: Ibsen-Jensen, Rasmus
  id: 3B699956-F248-11E8-B48F-1D18A9856A87
  last_name: Ibsen-Jensen
  orcid: 0000-0003-4783-0389
- first_name: Kristoffer
  full_name: Hansen, Kristoffer
  last_name: Hansen
citation:
  ama: Chatterjee K, Ibsen-Jensen R, Hansen K. <i>The Patience of Concurrent Stochastic
    Games with Safety and Reachability Objectives</i>. IST Austria; 2015. doi:<a href="https://doi.org/10.15479/AT:IST-2015-322-v1-1">10.15479/AT:IST-2015-322-v1-1</a>
  apa: Chatterjee, K., Ibsen-Jensen, R., &#38; Hansen, K. (2015). <i>The patience
    of concurrent stochastic games with safety and reachability objectives</i>. IST
    Austria. <a href="https://doi.org/10.15479/AT:IST-2015-322-v1-1">https://doi.org/10.15479/AT:IST-2015-322-v1-1</a>
  chicago: Chatterjee, Krishnendu, Rasmus Ibsen-Jensen, and Kristoffer Hansen. <i>The
    Patience of Concurrent Stochastic Games with Safety and Reachability Objectives</i>.
    IST Austria, 2015. <a href="https://doi.org/10.15479/AT:IST-2015-322-v1-1">https://doi.org/10.15479/AT:IST-2015-322-v1-1</a>.
  ieee: K. Chatterjee, R. Ibsen-Jensen, and K. Hansen, <i>The patience of concurrent
    stochastic games with safety and reachability objectives</i>. IST Austria, 2015.
  ista: Chatterjee K, Ibsen-Jensen R, Hansen K. 2015. The patience of concurrent stochastic
    games with safety and reachability objectives, IST Austria, 25p.
  mla: Chatterjee, Krishnendu, et al. <i>The Patience of Concurrent Stochastic Games
    with Safety and Reachability Objectives</i>. IST Austria, 2015, doi:<a href="https://doi.org/10.15479/AT:IST-2015-322-v1-1">10.15479/AT:IST-2015-322-v1-1</a>.
  short: K. Chatterjee, R. Ibsen-Jensen, K. Hansen, The Patience of Concurrent Stochastic
    Games with Safety and Reachability Objectives, IST Austria, 2015.
date_created: 2018-12-12T11:39:17Z
date_published: 2015-02-19T00:00:00Z
date_updated: 2021-01-12T08:02:13Z
day: '19'
ddc:
- '005'
- '519'
department:
- _id: KrCh
doi: 10.15479/AT:IST-2015-322-v1-1
file:
- access_level: open_access
  checksum: bfb858262c30445b8e472c40069178a2
  content_type: application/pdf
  creator: system
  date_created: 2018-12-12T11:53:31Z
  date_updated: 2020-07-14T12:46:53Z
  file_id: '5491'
  file_name: IST-2015-322-v1+1_safetygames.pdf
  file_size: 661015
  relation: main_file
file_date_updated: 2020-07-14T12:46:53Z
has_accepted_license: '1'
language:
- iso: eng
month: '02'
oa: 1
oa_version: Published Version
page: '25'
publication_identifier:
  issn:
  - 2664-1690
publication_status: published
publisher: IST Austria
pubrep_id: '322'
status: public
title: The patience of concurrent stochastic games with safety and reachability objectives
type: technical_report
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2015'
...
---
_id: '5432'
abstract:
- lang: eng
  text: "Evolution occurs in populations of reproducing individuals. The structure
    of the population affects the outcome of the evolutionary process. Evolutionary
    graph theory is a powerful approach to study this phenomenon. There are two graphs.
    The interaction graph specifies who interacts with whom in the context of evolution.The
    replacement graph specifies who competes with whom for reproduction. \r\nThe vertices
    of the two graphs are the same, and each vertex corresponds to an individual of
    the population. A key quantity is the fixation probability of a new mutant. It
    is defined as the probability that a newly introduced mutant (on a single vertex)
    generates a lineage of offspring which eventually takes over the entire population
    of resident individuals. The basic computational questions are as follows: (i)
    the qualitative question asks whether the fixation probability is positive; and
    (ii) the quantitative approximation question asks for an approximation of the
    fixation probability. \r\nOur main results are:\r\n(1) We show that the qualitative
    question is NP-complete and the quantitative approximation question is #P-hard
    in the special case when the interaction and the replacement graphs coincide and
    even with the restriction that the resident individuals do not reproduce (which
    corresponds to an invading population taking over an empty structure).\r\n(2)
    We show that in general the qualitative question is PSPACE-complete and the quantitative
    approximation question is PSPACE-hard and can be solved in exponential time.\r\n"
alternative_title:
- IST Austria Technical Report
author:
- first_name: Krishnendu
  full_name: Chatterjee, Krishnendu
  id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
  last_name: Chatterjee
  orcid: 0000-0002-4561-241X
- first_name: Rasmus
  full_name: Ibsen-Jensen, Rasmus
  id: 3B699956-F248-11E8-B48F-1D18A9856A87
  last_name: Ibsen-Jensen
  orcid: 0000-0003-4783-0389
- first_name: Martin
  full_name: Nowak, Martin
  last_name: Nowak
citation:
  ama: Chatterjee K, Ibsen-Jensen R, Nowak M. <i>The Complexity of Evolutionary Games
    on Graphs</i>. IST Austria; 2015. doi:<a href="https://doi.org/10.15479/AT:IST-2015-323-v1-1">10.15479/AT:IST-2015-323-v1-1</a>
  apa: Chatterjee, K., Ibsen-Jensen, R., &#38; Nowak, M. (2015). <i>The complexity
    of evolutionary games on graphs</i>. IST Austria. <a href="https://doi.org/10.15479/AT:IST-2015-323-v1-1">https://doi.org/10.15479/AT:IST-2015-323-v1-1</a>
  chicago: Chatterjee, Krishnendu, Rasmus Ibsen-Jensen, and Martin Nowak. <i>The Complexity
    of Evolutionary Games on Graphs</i>. IST Austria, 2015. <a href="https://doi.org/10.15479/AT:IST-2015-323-v1-1">https://doi.org/10.15479/AT:IST-2015-323-v1-1</a>.
  ieee: K. Chatterjee, R. Ibsen-Jensen, and M. Nowak, <i>The complexity of evolutionary
    games on graphs</i>. IST Austria, 2015.
  ista: Chatterjee K, Ibsen-Jensen R, Nowak M. 2015. The complexity of evolutionary
    games on graphs, IST Austria, 29p.
  mla: Chatterjee, Krishnendu, et al. <i>The Complexity of Evolutionary Games on Graphs</i>.
    IST Austria, 2015, doi:<a href="https://doi.org/10.15479/AT:IST-2015-323-v1-1">10.15479/AT:IST-2015-323-v1-1</a>.
  short: K. Chatterjee, R. Ibsen-Jensen, M. Nowak, The Complexity of Evolutionary
    Games on Graphs, IST Austria, 2015.
date_created: 2018-12-12T11:39:18Z
date_published: 2015-02-19T00:00:00Z
date_updated: 2023-02-23T12:26:33Z
day: '19'
ddc:
- '005'
- '576'
department:
- _id: KrCh
doi: 10.15479/AT:IST-2015-323-v1-1
file:
- access_level: open_access
  checksum: 546c1b291d545e7b24aaaf4199dac671
  content_type: application/pdf
  creator: system
  date_created: 2018-12-12T11:53:57Z
  date_updated: 2020-07-14T12:46:53Z
  file_id: '5519'
  file_name: IST-2015-323-v1+1_main.pdf
  file_size: 576347
  relation: main_file
file_date_updated: 2020-07-14T12:46:53Z
has_accepted_license: '1'
language:
- iso: eng
month: '02'
oa: 1
oa_version: Published Version
page: '29'
publication_identifier:
  issn:
  - 2664-1690
publication_status: published
publisher: IST Austria
pubrep_id: '323'
related_material:
  record:
  - id: '5421'
    relation: earlier_version
    status: public
  - id: '5440'
    relation: later_version
    status: public
status: public
title: The complexity of evolutionary games on graphs
type: technical_report
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2015'
...
---
_id: '5435'
abstract:
- lang: eng
  text: "We consider Markov decision processes (MDPs) with multiple limit-average
    (or mean-payoff) objectives. \r\nThere have been two different views: (i) the
    expectation semantics, where the goal is to optimize the expected mean-payoff
    objective, and (ii) the satisfaction semantics, where the goal is to maximize
    the probability of runs such that the mean-payoff value stays above a given vector.
    \ \r\nWe consider the problem where the goal is to optimize the expectation under
    the constraint that the satisfaction semantics is ensured, and thus consider a
    generalization that unifies the existing semantics. Our problem captures the notion
    of optimization with respect to strategies that are risk-averse (i.e., ensures
    certain probabilistic guarantee).\r\nOur main results are algorithms for the decision
    problem which are always polynomial in the size of the MDP.\r\nWe also show that
    an approximation of the Pareto-curve can be computed in time polynomial in the
    size of the MDP, and the approximation factor, but exponential in the number of
    dimensions. Finally, we present a complete characterization of the strategy complexity
    (in terms of memory bounds and randomization) required to solve our problem."
alternative_title:
- IST Austria Technical Report
author:
- first_name: Krishnendu
  full_name: Chatterjee, Krishnendu
  id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
  last_name: Chatterjee
  orcid: 0000-0002-4561-241X
- first_name: Zuzana
  full_name: Komarkova, Zuzana
  last_name: Komarkova
- first_name: Jan
  full_name: Kretinsky, Jan
  id: 44CEF464-F248-11E8-B48F-1D18A9856A87
  last_name: Kretinsky
  orcid: 0000-0002-8122-2881
citation:
  ama: Chatterjee K, Komarkova Z, Kretinsky J. <i>Unifying Two Views on Multiple Mean-Payoff
    Objectives in Markov Decision Processes</i>. IST Austria; 2015. doi:<a href="https://doi.org/10.15479/AT:IST-2015-318-v2-1">10.15479/AT:IST-2015-318-v2-1</a>
  apa: Chatterjee, K., Komarkova, Z., &#38; Kretinsky, J. (2015). <i>Unifying two
    views on multiple mean-payoff objectives in Markov decision processes</i>. IST
    Austria. <a href="https://doi.org/10.15479/AT:IST-2015-318-v2-1">https://doi.org/10.15479/AT:IST-2015-318-v2-1</a>
  chicago: Chatterjee, Krishnendu, Zuzana Komarkova, and Jan Kretinsky. <i>Unifying
    Two Views on Multiple Mean-Payoff Objectives in Markov Decision Processes</i>.
    IST Austria, 2015. <a href="https://doi.org/10.15479/AT:IST-2015-318-v2-1">https://doi.org/10.15479/AT:IST-2015-318-v2-1</a>.
  ieee: K. Chatterjee, Z. Komarkova, and J. Kretinsky, <i>Unifying two views on multiple
    mean-payoff objectives in Markov decision processes</i>. IST Austria, 2015.
  ista: Chatterjee K, Komarkova Z, Kretinsky J. 2015. Unifying two views on multiple
    mean-payoff objectives in Markov decision processes, IST Austria, 51p.
  mla: Chatterjee, Krishnendu, et al. <i>Unifying Two Views on Multiple Mean-Payoff
    Objectives in Markov Decision Processes</i>. IST Austria, 2015, doi:<a href="https://doi.org/10.15479/AT:IST-2015-318-v2-1">10.15479/AT:IST-2015-318-v2-1</a>.
  short: K. Chatterjee, Z. Komarkova, J. Kretinsky, Unifying Two Views on Multiple
    Mean-Payoff Objectives in Markov Decision Processes, IST Austria, 2015.
date_created: 2018-12-12T11:39:19Z
date_published: 2015-02-23T00:00:00Z
date_updated: 2023-02-23T12:26:00Z
day: '23'
ddc:
- '004'
department:
- _id: KrCh
doi: 10.15479/AT:IST-2015-318-v2-1
file:
- access_level: open_access
  checksum: 75284adec80baabdfe71ff9ebbc27445
  content_type: application/pdf
  creator: system
  date_created: 2018-12-12T11:54:03Z
  date_updated: 2020-07-14T12:46:53Z
  file_id: '5525'
  file_name: IST-2015-318-v2+1_main.pdf
  file_size: 717630
  relation: main_file
file_date_updated: 2020-07-14T12:46:53Z
has_accepted_license: '1'
language:
- iso: eng
month: '02'
oa: 1
oa_version: Published Version
page: '51'
publication_identifier:
  issn:
  - 2664-1690
publication_status: published
publisher: IST Austria
pubrep_id: '327'
related_material:
  record:
  - id: '1657'
    relation: later_version
    status: public
  - id: '466'
    relation: later_version
    status: public
  - id: '5429'
    relation: earlier_version
    status: public
status: public
title: Unifying two views on multiple mean-payoff objectives in Markov decision processes
type: technical_report
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2015'
...
