--- _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:10.15479/at:ista:1401' apa: 'Sharmanska, V. (2015). Learning with attributes for object recognition: Parametric and non-parametrics views. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:1401' chicago: 'Sharmanska, Viktoriia. “Learning with Attributes for Object Recognition: Parametric and Non-Parametrics Views.” Institute of Science and Technology Austria, 2015. https://doi.org/10.15479/at:ista:1401.' 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. Learning with Attributes for Object Recognition: Parametric and Non-Parametrics Views. Institute of Science and Technology Austria, 2015, doi:10.15479/at:ista:1401.' 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., & 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. Statistical Topological Data Analysis-A Kernel Perspective. 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., & 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. Lifelong Learning with Non-i.i.d. Tasks. 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: Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation. ACM; 2015:1455-1462. doi:10.1145/2739480.2754758' apa: 'Paixao, T., Sudholt, D., Heredia, J., & Trubenova, B. (2015). First steps towards a runtime comparison of natural and artificial evolution. In Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation (pp. 1455–1462). Madrid, Spain: ACM. https://doi.org/10.1145/2739480.2754758' chicago: Paixao, Tiago, Dirk Sudholt, Jorge Heredia, and Barbora Trubenova. “First Steps towards a Runtime Comparison of Natural and Artificial Evolution.” In Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, 1455–62. ACM, 2015. https://doi.org/10.1145/2739480.2754758. ieee: T. Paixao, D. Sudholt, J. Heredia, and B. Trubenova, “First steps towards a runtime comparison of natural and artificial evolution,” in Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, 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.” Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, ACM, 2015, pp. 1455–62, doi:10.1145/2739480.2754758. 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:10.1109/CSF.2015.11' apa: 'Ferrara, A., Fuchsbauer, G., Liu, B., & Warinschi, B. (2015). Policy privacy in cryptographic access control (pp. 46–60). Presented at the CSF: Computer Security Foundations, Verona, Italy: IEEE. https://doi.org/10.1109/CSF.2015.11' chicago: Ferrara, Anna, Georg Fuchsbauer, Bin Liu, and Bogdan Warinschi. “Policy Privacy in Cryptographic Access Control,” 46–60. IEEE, 2015. https://doi.org/10.1109/CSF.2015.11. 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. Policy Privacy in Cryptographic Access Control. IEEE, 2015, pp. 46–60, doi:10.1109/CSF.2015.11. 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. Unifying Two Views on Multiple Mean-Payoff Objectives in Markov Decision Processes. IST Austria; 2015. doi:10.15479/AT:IST-2015-318-v1-1 apa: Chatterjee, K., Komarkova, Z., & Kretinsky, J. (2015). Unifying two views on multiple mean-payoff objectives in Markov decision processes. IST Austria. https://doi.org/10.15479/AT:IST-2015-318-v1-1 chicago: Chatterjee, Krishnendu, Zuzana Komarkova, and Jan Kretinsky. Unifying Two Views on Multiple Mean-Payoff Objectives in Markov Decision Processes. IST Austria, 2015. https://doi.org/10.15479/AT:IST-2015-318-v1-1. ieee: K. Chatterjee, Z. Komarkova, and J. Kretinsky, Unifying two views on multiple mean-payoff objectives in Markov decision processes. 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. Unifying Two Views on Multiple Mean-Payoff Objectives in Markov Decision Processes. IST Austria, 2015, doi:10.15479/AT:IST-2015-318-v1-1. 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. Faster Algorithms for Quantitative Verification in Constant Treewidth Graphs. IST Austria; 2015. doi:10.15479/AT:IST-2015-319-v1-1 apa: Chatterjee, K., Ibsen-Jensen, R., & Pavlogiannis, A. (2015). Faster algorithms for quantitative verification in constant treewidth graphs. IST Austria. https://doi.org/10.15479/AT:IST-2015-319-v1-1 chicago: Chatterjee, Krishnendu, Rasmus Ibsen-Jensen, and Andreas Pavlogiannis. Faster Algorithms for Quantitative Verification in Constant Treewidth Graphs. IST Austria, 2015. https://doi.org/10.15479/AT:IST-2015-319-v1-1. ieee: K. Chatterjee, R. Ibsen-Jensen, and A. Pavlogiannis, Faster algorithms for quantitative verification in constant treewidth graphs. 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. Faster Algorithms for Quantitative Verification in Constant Treewidth Graphs. IST Austria, 2015, doi:10.15479/AT:IST-2015-319-v1-1. 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. The Patience of Concurrent Stochastic Games with Safety and Reachability Objectives. IST Austria; 2015. doi:10.15479/AT:IST-2015-322-v1-1 apa: Chatterjee, K., Ibsen-Jensen, R., & Hansen, K. (2015). The patience of concurrent stochastic games with safety and reachability objectives. IST Austria. https://doi.org/10.15479/AT:IST-2015-322-v1-1 chicago: Chatterjee, Krishnendu, Rasmus Ibsen-Jensen, and Kristoffer Hansen. The Patience of Concurrent Stochastic Games with Safety and Reachability Objectives. IST Austria, 2015. https://doi.org/10.15479/AT:IST-2015-322-v1-1. ieee: K. Chatterjee, R. Ibsen-Jensen, and K. Hansen, The patience of concurrent stochastic games with safety and reachability objectives. 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. The Patience of Concurrent Stochastic Games with Safety and Reachability Objectives. IST Austria, 2015, doi:10.15479/AT:IST-2015-322-v1-1. 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. The Complexity of Evolutionary Games on Graphs. IST Austria; 2015. doi:10.15479/AT:IST-2015-323-v1-1 apa: Chatterjee, K., Ibsen-Jensen, R., & Nowak, M. (2015). The complexity of evolutionary games on graphs. IST Austria. https://doi.org/10.15479/AT:IST-2015-323-v1-1 chicago: Chatterjee, Krishnendu, Rasmus Ibsen-Jensen, and Martin Nowak. The Complexity of Evolutionary Games on Graphs. IST Austria, 2015. https://doi.org/10.15479/AT:IST-2015-323-v1-1. ieee: K. Chatterjee, R. Ibsen-Jensen, and M. Nowak, The complexity of evolutionary games on graphs. 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. The Complexity of Evolutionary Games on Graphs. IST Austria, 2015, doi:10.15479/AT:IST-2015-323-v1-1. 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. Unifying Two Views on Multiple Mean-Payoff Objectives in Markov Decision Processes. IST Austria; 2015. doi:10.15479/AT:IST-2015-318-v2-1 apa: Chatterjee, K., Komarkova, Z., & Kretinsky, J. (2015). Unifying two views on multiple mean-payoff objectives in Markov decision processes. IST Austria. https://doi.org/10.15479/AT:IST-2015-318-v2-1 chicago: Chatterjee, Krishnendu, Zuzana Komarkova, and Jan Kretinsky. Unifying Two Views on Multiple Mean-Payoff Objectives in Markov Decision Processes. IST Austria, 2015. https://doi.org/10.15479/AT:IST-2015-318-v2-1. ieee: K. Chatterjee, Z. Komarkova, and J. Kretinsky, Unifying two views on multiple mean-payoff objectives in Markov decision processes. 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. Unifying Two Views on Multiple Mean-Payoff Objectives in Markov Decision Processes. IST Austria, 2015, doi:10.15479/AT:IST-2015-318-v2-1. 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' ... --- _id: '5436' abstract: - lang: eng text: "Recently there has been a significant effort to handle quantitative properties in formal verification and synthesis. While weighted automata over finite and infinite words provide a natural and flexible framework to express quantitative properties, perhaps surprisingly, some basic system properties such as average response time cannot be expressed using weighted automata, nor in any other know decidable formalism. In this work, we introduce nested weighted automata as a natural extension of weighted automata which makes it possible to express important quantitative properties such as average response time.\r\nIn nested weighted automata, a master automaton spins off and collects results from weighted slave automata, each of which computes a quantity along a finite portion of an infinite word. Nested weighted automata can be viewed as the quantitative analogue of monitor automata, which are used in run-time verification. We establish an almost complete decidability picture for the basic decision problems about nested weighted automata, and illustrate their applicability in several domains. In particular, nested weighted automata can be used to decide average response time properties." 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: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000−0002−2985−7724 - first_name: Jan full_name: Otop, Jan id: 2FC5DA74-F248-11E8-B48F-1D18A9856A87 last_name: Otop citation: ama: Chatterjee K, Henzinger TA, Otop J. Nested Weighted Automata. IST Austria; 2015. doi:10.15479/AT:IST-2015-170-v2-2 apa: Chatterjee, K., Henzinger, T. A., & Otop, J. (2015). Nested weighted automata. IST Austria. https://doi.org/10.15479/AT:IST-2015-170-v2-2 chicago: Chatterjee, Krishnendu, Thomas A Henzinger, and Jan Otop. Nested Weighted Automata. IST Austria, 2015. https://doi.org/10.15479/AT:IST-2015-170-v2-2. ieee: K. Chatterjee, T. A. Henzinger, and J. Otop, Nested weighted automata. IST Austria, 2015. ista: Chatterjee K, Henzinger TA, Otop J. 2015. Nested weighted automata, IST Austria, 29p. mla: Chatterjee, Krishnendu, et al. Nested Weighted Automata. IST Austria, 2015, doi:10.15479/AT:IST-2015-170-v2-2. short: K. Chatterjee, T.A. Henzinger, J. Otop, Nested Weighted Automata, IST Austria, 2015. date_created: 2018-12-12T11:39:19Z date_published: 2015-04-24T00:00:00Z date_updated: 2023-02-23T12:25:21Z day: '24' ddc: - '000' department: - _id: KrCh - _id: ToHe doi: 10.15479/AT:IST-2015-170-v2-2 file: - access_level: open_access checksum: 3c402f47d3669c28d04d1af405a08e3f content_type: application/pdf creator: system date_created: 2018-12-12T11:54:19Z date_updated: 2020-07-14T12:46:54Z file_id: '5541' file_name: IST-2015-170-v2+2_report.pdf file_size: 569991 relation: main_file file_date_updated: 2020-07-14T12:46:54Z has_accepted_license: '1' language: - iso: eng month: '04' oa: 1 oa_version: Published Version page: '29' publication_identifier: issn: - 2664-1690 publication_status: published publisher: IST Austria pubrep_id: '331' related_material: record: - id: '1656' relation: later_version status: public - id: '467' relation: later_version status: public - id: '5415' relation: earlier_version status: public status: public title: Nested weighted automata type: technical_report user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2015' ... --- _id: '5437' 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. \r\nThe 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.\r\nOur main theoretical results are as follows.\r\nFirst, for constant treewidth graphs we present an algorithm that approximates the mean-payoff value within a multiplicative factor of $\\epsilon$ in time $O(n \\cdot \\log (n/\\epsilon))$ 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 $O(n \\cdot \\log (|a\\cdot b|))=O(n\\cdot\\log (n\\cdot W))$, when the output is $\\frac{a}{b}$, as compared to the previously best known algorithm with running time $O(n^2 \\cdot \\log (n\\cdot W))$. Third, for the minimum initial credit problem we show that (i)~for general graphs the problem can be solved in $O(n^2\\cdot m)$ time and the associated decision problem can be solved in $O(n\\cdot m)$ time, improving the previous known $O(n^3\\cdot m\\cdot \\log (n\\cdot W))$ and $O(n^2 \\cdot m)$ bounds, respectively; and (ii)~for constant treewidth graphs we present an algorithm that requires $O(n\\cdot \\log n)$ time, improving the previous known $O(n^4 \\cdot \\log (n \\cdot W))$ bound.\r\nWe 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. Faster Algorithms for Quantitative Verification in Constant Treewidth Graphs. IST Austria; 2015. doi:10.15479/AT:IST-2015-330-v2-1 apa: Chatterjee, K., Ibsen-Jensen, R., & Pavlogiannis, A. (2015). Faster algorithms for quantitative verification in constant treewidth graphs. IST Austria. https://doi.org/10.15479/AT:IST-2015-330-v2-1 chicago: Chatterjee, Krishnendu, Rasmus Ibsen-Jensen, and Andreas Pavlogiannis. Faster Algorithms for Quantitative Verification in Constant Treewidth Graphs. IST Austria, 2015. https://doi.org/10.15479/AT:IST-2015-330-v2-1. ieee: K. Chatterjee, R. Ibsen-Jensen, and A. Pavlogiannis, Faster algorithms for quantitative verification in constant treewidth graphs. IST Austria, 2015. ista: Chatterjee K, Ibsen-Jensen R, Pavlogiannis A. 2015. Faster algorithms for quantitative verification in constant treewidth graphs, IST Austria, 27p. mla: Chatterjee, Krishnendu, et al. Faster Algorithms for Quantitative Verification in Constant Treewidth Graphs. IST Austria, 2015, doi:10.15479/AT:IST-2015-330-v2-1. short: K. Chatterjee, R. Ibsen-Jensen, A. Pavlogiannis, Faster Algorithms for Quantitative Verification in Constant Treewidth Graphs, IST Austria, 2015. date_created: 2018-12-12T11:39:19Z date_published: 2015-04-27T00:00:00Z date_updated: 2023-02-23T12:26:05Z day: '27' ddc: - '000' department: - _id: KrCh doi: 10.15479/AT:IST-2015-330-v2-1 file: - access_level: open_access checksum: f5917c20f84018b362d385c000a2e123 content_type: application/pdf creator: system date_created: 2018-12-12T11:53:12Z date_updated: 2020-07-14T12:46:54Z file_id: '5473' file_name: IST-2015-330-v2+1_main.pdf file_size: 1072137 relation: main_file file_date_updated: 2020-07-14T12:46:54Z has_accepted_license: '1' language: - iso: eng month: '04' oa: 1 oa_version: Published Version page: '27' publication_identifier: issn: - 2664-1690 publication_status: published publisher: IST Austria pubrep_id: '333' related_material: record: - id: '1607' relation: later_version status: public - id: '5430' relation: earlier_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: '5438' abstract: - lang: eng text: "The edit distance between two words w1, w2 is the minimal number of word operations (letter insertions, deletions, and substitutions) necessary to transform w1 to w2. The edit distance generalizes to languages L1, L2, where the edit distance is the minimal number k such that for every word from L1 there exists a word in L2 with edit distance at most k. We study the edit distance computation problem between pushdown automata and their subclasses.\r\nThe problem of computing edit distance to a pushdown automaton is undecidable, and in practice, the interesting question is to compute the edit distance from a pushdown automaton (the implementation, a standard model for programs with recursion) to a regular language (the specification). In this work, we present a complete picture of decidability and complexity for deciding whether, for a given threshold k, the edit distance from a pushdown automaton to a finite automaton is at most k. " 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: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000−0002−2985−7724 - 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: Jan full_name: Otop, Jan id: 2FC5DA74-F248-11E8-B48F-1D18A9856A87 last_name: Otop citation: ama: Chatterjee K, Henzinger TA, Ibsen-Jensen R, Otop J. Edit Distance for Pushdown Automata. IST Austria; 2015. doi:10.15479/AT:IST-2015-334-v1-1 apa: Chatterjee, K., Henzinger, T. A., Ibsen-Jensen, R., & Otop, J. (2015). Edit distance for pushdown automata. IST Austria. https://doi.org/10.15479/AT:IST-2015-334-v1-1 chicago: Chatterjee, Krishnendu, Thomas A Henzinger, Rasmus Ibsen-Jensen, and Jan Otop. Edit Distance for Pushdown Automata. IST Austria, 2015. https://doi.org/10.15479/AT:IST-2015-334-v1-1. ieee: K. Chatterjee, T. A. Henzinger, R. Ibsen-Jensen, and J. Otop, Edit distance for pushdown automata. IST Austria, 2015. ista: Chatterjee K, Henzinger TA, Ibsen-Jensen R, Otop J. 2015. Edit distance for pushdown automata, IST Austria, 15p. mla: Chatterjee, Krishnendu, et al. Edit Distance for Pushdown Automata. IST Austria, 2015, doi:10.15479/AT:IST-2015-334-v1-1. short: K. Chatterjee, T.A. Henzinger, R. Ibsen-Jensen, J. Otop, Edit Distance for Pushdown Automata, IST Austria, 2015. date_created: 2018-12-12T11:39:20Z date_published: 2015-05-05T00:00:00Z date_updated: 2023-02-23T12:20:08Z day: '05' ddc: - '004' department: - _id: KrCh doi: 10.15479/AT:IST-2015-334-v1-1 file: - access_level: open_access checksum: 8a5f2d77560e552af87eb1982437a43b content_type: application/pdf creator: system date_created: 2018-12-12T11:53:56Z date_updated: 2020-07-14T12:46:55Z file_id: '5518' file_name: IST-2015-334-v1+1_report.pdf file_size: 422573 relation: main_file file_date_updated: 2020-07-14T12:46:55Z has_accepted_license: '1' language: - iso: eng month: '05' oa: 1 oa_version: Published Version page: '15' publication_identifier: issn: - 2664-1690 publication_status: published publisher: IST Austria pubrep_id: '334' related_material: record: - id: '1610' relation: later_version status: public - id: '465' relation: later_version status: public status: public title: Edit distance for pushdown automata type: technical_report user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2015' ... --- _id: '5439' abstract: - lang: eng text: 'The target discounted-sum problem is the following: Given a rational discount factor 0 < λ < 1 and three rational values a, b, and t, does there exist a finite or an infinite sequence w ε(a, b)∗ or w ε(a, b)w, such that Σ|w| i=0 w(i)λi equals t? The problem turns out to relate to many fields of mathematics and computer science, and its decidability question is surprisingly hard to solve. We solve the finite version of the problem, and show the hardness of the infinite version, linking it to various areas and open problems in mathematics and computer science: β-expansions, discounted-sum automata, piecewise affine maps, and generalizations of the Cantor set. We provide some partial results to the infinite version, among which are solutions to its restriction to eventually-periodic sequences and to the cases that λ λ 1/2 or λ = 1/n, for every n ε N. We use our results for solving some open problems on discounted-sum automata, among which are the exact-value problem for nondeterministic automata over finite words and the universality and inclusion problems for functional automata. ' alternative_title: - IST Austria Technical Report author: - first_name: Udi full_name: Boker, Udi id: 31E297B6-F248-11E8-B48F-1D18A9856A87 last_name: Boker - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000−0002−2985−7724 - first_name: Jan full_name: Otop, Jan id: 2FC5DA74-F248-11E8-B48F-1D18A9856A87 last_name: Otop citation: ama: Boker U, Henzinger TA, Otop J. The Target Discounted-Sum Problem. IST Austria; 2015. doi:10.15479/AT:IST-2015-335-v1-1 apa: Boker, U., Henzinger, T. A., & Otop, J. (2015). The target discounted-sum problem. IST Austria. https://doi.org/10.15479/AT:IST-2015-335-v1-1 chicago: Boker, Udi, Thomas A Henzinger, and Jan Otop. The Target Discounted-Sum Problem. IST Austria, 2015. https://doi.org/10.15479/AT:IST-2015-335-v1-1. ieee: U. Boker, T. A. Henzinger, and J. Otop, The target discounted-sum problem. IST Austria, 2015. ista: Boker U, Henzinger TA, Otop J. 2015. The target discounted-sum problem, IST Austria, 20p. mla: Boker, Udi, et al. The Target Discounted-Sum Problem. IST Austria, 2015, doi:10.15479/AT:IST-2015-335-v1-1. short: U. Boker, T.A. Henzinger, J. Otop, The Target Discounted-Sum Problem, IST Austria, 2015. date_created: 2018-12-12T11:39:20Z date_published: 2015-05-18T00:00:00Z date_updated: 2023-02-23T10:08:48Z day: '18' ddc: - '004' - '512' - '513' department: - _id: ToHe doi: 10.15479/AT:IST-2015-335-v1-1 file: - access_level: open_access checksum: 40405907aa012acece1bc26cf0be554d content_type: application/pdf creator: system date_created: 2018-12-12T11:53:55Z date_updated: 2020-07-14T12:46:55Z file_id: '5517' file_name: IST-2015-335-v1+1_report.pdf file_size: 589619 relation: main_file file_date_updated: 2020-07-14T12:46:55Z has_accepted_license: '1' language: - iso: eng month: '05' oa: 1 oa_version: Published Version page: '20' publication_identifier: issn: - 2664-1690 publication_status: published publisher: IST Austria pubrep_id: '335' related_material: record: - id: '1659' relation: later_version status: public status: public title: The target discounted-sum problem type: technical_report user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2015' ... --- _id: '5440' 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 for payoff in the context of evolution. The replacement graph specifies who competes with whom for reproduction. The vertices of the two graphs are the same, and each vertex corresponds to an individual of the population. The fitness (or the reproductive rate) is a non-negative number, and depends on the payoff. 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. Our main results are as follows: First, we consider a special case of the general problem, where the residents do not reproduce. We show that the qualitative question is NP-complete, and the quantitative approximation question is #P-complete, and the hardness results hold even in the special case where the interaction and the replacement graphs coincide. Second, we show that in general both the qualitative and the quantitative approximation questions are PSPACE-complete. The PSPACE-hardness result for quantitative approximation holds even when the fitness is always positive.' 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. The Complexity of Evolutionary Games on Graphs. IST Austria; 2015. doi:10.15479/AT:IST-2015-323-v2-2 apa: Chatterjee, K., Ibsen-Jensen, R., & Nowak, M. (2015). The complexity of evolutionary games on graphs. IST Austria. https://doi.org/10.15479/AT:IST-2015-323-v2-2 chicago: Chatterjee, Krishnendu, Rasmus Ibsen-Jensen, and Martin Nowak. The Complexity of Evolutionary Games on Graphs. IST Austria, 2015. https://doi.org/10.15479/AT:IST-2015-323-v2-2. ieee: K. Chatterjee, R. Ibsen-Jensen, and M. Nowak, The complexity of evolutionary games on graphs. IST Austria, 2015. ista: Chatterjee K, Ibsen-Jensen R, Nowak M. 2015. The complexity of evolutionary games on graphs, IST Austria, 18p. mla: Chatterjee, Krishnendu, et al. The Complexity of Evolutionary Games on Graphs. IST Austria, 2015, doi:10.15479/AT:IST-2015-323-v2-2. short: K. Chatterjee, R. Ibsen-Jensen, M. Nowak, The Complexity of Evolutionary Games on Graphs, IST Austria, 2015. date_created: 2018-12-12T11:39:21Z date_published: 2015-06-16T00:00:00Z date_updated: 2023-02-23T12:26:10Z day: '16' ddc: - '005' - '576' department: - _id: KrCh doi: 10.15479/AT:IST-2015-323-v2-2 file: - access_level: open_access checksum: 66aace7d367032af97c15e35c9be9636 content_type: application/pdf creator: system date_created: 2018-12-12T11:53:23Z date_updated: 2020-07-14T12:46:56Z file_id: '5484' file_name: IST-2015-323-v2+2_main.pdf file_size: 466161 relation: main_file file_date_updated: 2020-07-14T12:46:56Z has_accepted_license: '1' language: - iso: eng month: '06' oa: 1 oa_version: Published Version page: '18' publication_identifier: issn: - 2664-1690 publication_status: published publisher: IST Austria pubrep_id: '338' related_material: record: - id: '5421' relation: earlier_version status: public - id: '5432' relation: earlier_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: '5441' abstract: - lang: eng text: We study algorithmic questions for concurrent systems where the transitions are labeled from a complete, closed semiring, and path properties are algebraic with semiring operations. The algebraic path properties can model dataflow analysis problems, the shortest path problem, and many other natural problems that arise in program analysis. We consider that each component of the concurrent system is a graph with constant treewidth, a property satisfied by the controlflow graphs of most programs. We allow for multiple possible queries, which arise naturally in demand driven dataflow analysis. The study of multiple queries allows us to consider the tradeoff between the resource usage of the one-time preprocessing and for each individual query. The traditional approach constructs the product graph of all components and applies the best-known graph algorithm on the product. In this approach, even the answer to a single query requires the transitive closure (i.e., the results of all possible queries), which provides no room for tradeoff between preprocessing and query time. Our main contributions are algorithms that significantly improve the worst-case running time of the traditional approach, and provide various tradeoffs depending on the number of queries. For example, in a concurrent system of two components, the traditional approach requires hexic time in the worst case for answering one query as well as computing the transitive closure, whereas we show that with one-time preprocessing in almost cubic time, each subsequent query can be answered in at most linear time, and even the transitive closure can be computed in almost quartic time. Furthermore, we establish conditional optimality results showing that the worst-case running time of our algorithms cannot be improved without achieving major breakthroughs in graph algorithms (i.e., improving the worst-case bound for the shortest path problem in general graphs). Preliminary experimental results show that our algorithms perform favorably on several 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: Amir full_name: Goharshady, Amir id: 391365CE-F248-11E8-B48F-1D18A9856A87 last_name: Goharshady orcid: 0000-0003-1702-6584 - 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, Goharshady AK, Pavlogiannis A. Algorithms for Algebraic Path Properties in Concurrent Systems of Constant Treewidth Components. IST Austria; 2015. doi:10.15479/AT:IST-2015-340-v1-1 apa: Chatterjee, K., Ibsen-Jensen, R., Goharshady, A. K., & Pavlogiannis, A. (2015). Algorithms for algebraic path properties in concurrent systems of constant treewidth components. IST Austria. https://doi.org/10.15479/AT:IST-2015-340-v1-1 chicago: Chatterjee, Krishnendu, Rasmus Ibsen-Jensen, Amir Kafshdar Goharshady, and Andreas Pavlogiannis. Algorithms for Algebraic Path Properties in Concurrent Systems of Constant Treewidth Components. IST Austria, 2015. https://doi.org/10.15479/AT:IST-2015-340-v1-1. ieee: K. Chatterjee, R. Ibsen-Jensen, A. K. Goharshady, and A. Pavlogiannis, Algorithms for algebraic path properties in concurrent systems of constant treewidth components. IST Austria, 2015. ista: Chatterjee K, Ibsen-Jensen R, Goharshady AK, Pavlogiannis A. 2015. Algorithms for algebraic path properties in concurrent systems of constant treewidth components, IST Austria, 24p. mla: Chatterjee, Krishnendu, et al. Algorithms for Algebraic Path Properties in Concurrent Systems of Constant Treewidth Components. IST Austria, 2015, doi:10.15479/AT:IST-2015-340-v1-1. short: K. Chatterjee, R. Ibsen-Jensen, A.K. Goharshady, A. Pavlogiannis, Algorithms for Algebraic Path Properties in Concurrent Systems of Constant Treewidth Components, IST Austria, 2015. date_created: 2018-12-12T11:39:21Z date_published: 2015-07-11T00:00:00Z date_updated: 2023-09-19T14:36:19Z day: '11' ddc: - '000' department: - _id: KrCh doi: 10.15479/AT:IST-2015-340-v1-1 file: - access_level: open_access checksum: df383dc62c94d7b2ea639aba088a76c6 content_type: application/pdf creator: system date_created: 2018-12-12T11:54:09Z date_updated: 2020-07-14T12:46:56Z file_id: '5531' file_name: IST-2015-340-v1+1_main.pdf file_size: 861396 relation: main_file file_date_updated: 2020-07-14T12:46:56Z has_accepted_license: '1' language: - iso: eng month: '07' oa: 1 oa_version: Published Version page: '24' publication_identifier: issn: - 2664-1690 publication_status: published publisher: IST Austria pubrep_id: '340' related_material: record: - id: '1437' relation: later_version status: public - id: '5442' relation: earlier_version status: public - id: '6009' relation: later_version status: public status: public title: Algorithms for algebraic path properties in concurrent systems of constant treewidth components type: technical_report user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2015' ... --- _id: '5443' abstract: - lang: eng text: POMDPs are standard models for probabilistic planning problems, where an agent interacts with an uncertain environment. We study the problem of almost-sure reachability, where given a set of target states, the question is to decide whether there is a policy to ensure that the target set is reached with probability 1 (almost-surely). While in general the problem is EXPTIME-complete, in many practical cases policies with a small amount of memory suffice. Moreover, the existing solution to the problem is explicit, which first requires to construct explicitly an exponential reduction to a belief-support MDP. In this work, we first study the existence of observation-stationary strategies, which is NP-complete, and then small-memory strategies. We present a symbolic algorithm by an efficient encoding to SAT and using a SAT solver for the problem. We report experimental results demonstrating the scalability of our symbolic (SAT-based) approach. 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: Martin full_name: Chmelik, Martin id: 3624234E-F248-11E8-B48F-1D18A9856A87 last_name: Chmelik - first_name: Jessica full_name: Davies, Jessica id: 378E0060-F248-11E8-B48F-1D18A9856A87 last_name: Davies citation: ama: Chatterjee K, Chmelik M, Davies J. A Symbolic SAT-Based Algorithm for Almost-Sure Reachability with Small Strategies in POMDPs. IST Austria; 2015. doi:10.15479/AT:IST-2015-325-v2-1 apa: Chatterjee, K., Chmelik, M., & Davies, J. (2015). A symbolic SAT-based algorithm for almost-sure reachability with small strategies in POMDPs. IST Austria. https://doi.org/10.15479/AT:IST-2015-325-v2-1 chicago: Chatterjee, Krishnendu, Martin Chmelik, and Jessica Davies. A Symbolic SAT-Based Algorithm for Almost-Sure Reachability with Small Strategies in POMDPs. IST Austria, 2015. https://doi.org/10.15479/AT:IST-2015-325-v2-1. ieee: K. Chatterjee, M. Chmelik, and J. Davies, A symbolic SAT-based algorithm for almost-sure reachability with small strategies in POMDPs. IST Austria, 2015. ista: Chatterjee K, Chmelik M, Davies J. 2015. A symbolic SAT-based algorithm for almost-sure reachability with small strategies in POMDPs, IST Austria, 23p. mla: Chatterjee, Krishnendu, et al. A Symbolic SAT-Based Algorithm for Almost-Sure Reachability with Small Strategies in POMDPs. IST Austria, 2015, doi:10.15479/AT:IST-2015-325-v2-1. short: K. Chatterjee, M. Chmelik, J. Davies, A Symbolic SAT-Based Algorithm for Almost-Sure Reachability with Small Strategies in POMDPs, IST Austria, 2015. date_created: 2018-12-12T11:39:22Z date_published: 2015-11-06T00:00:00Z date_updated: 2023-02-21T16:24:05Z day: '06' ddc: - '000' department: - _id: KrCh doi: 10.15479/AT:IST-2015-325-v2-1 file: - access_level: open_access checksum: f0fa31ad8161ed655137e94012123ef9 content_type: application/pdf creator: system date_created: 2018-12-12T11:53:05Z date_updated: 2020-07-14T12:46:57Z file_id: '5466' file_name: IST-2015-325-v2+1_main.pdf file_size: 412379 relation: main_file file_date_updated: 2020-07-14T12:46:57Z has_accepted_license: '1' language: - iso: eng month: '11' oa: 1 oa_version: Published Version page: '23' publication_identifier: issn: - 2664-1690 publication_status: published publisher: IST Austria pubrep_id: '362' related_material: record: - id: '1166' relation: later_version status: public status: public title: A symbolic SAT-based algorithm for almost-sure reachability with small strategies in POMDPs type: technical_report user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2015' ... --- _id: '5444' abstract: - lang: eng text: A comprehensive understanding of the clonal evolution of cancer is critical for understanding neoplasia. Genome-wide sequencing data enables evolutionary studies at unprecedented depth. However, classical phylogenetic methods often struggle with noisy sequencing data of impure DNA samples and fail to detect subclones that have different evolutionary trajectories. We have developed a tool, called Treeomics, that allows us to reconstruct the phylogeny of a cancer with commonly available sequencing technologies. Using Bayesian inference and Integer Linear Programming, robust phylogenies consistent with the biological processes underlying cancer evolution were obtained for pancreatic, ovarian, and prostate cancers. Furthermore, Treeomics correctly identified sequencing artifacts such as those resulting from low statistical power; nearly 7% of variants were misclassified by conventional statistical methods. These artifacts can skew phylogenies by creating illusory tumor heterogeneity among distinct samples. Importantly, we show that the evolutionary trees generated with Treeomics are mathematically optimal. alternative_title: - IST Austria Technical Report author: - first_name: Johannes full_name: Reiter, Johannes id: 4A918E98-F248-11E8-B48F-1D18A9856A87 last_name: Reiter orcid: 0000-0002-0170-7353 - first_name: Alvin full_name: Makohon-Moore, Alvin last_name: Makohon-Moore - first_name: Jeffrey full_name: Gerold, Jeffrey last_name: Gerold - first_name: Ivana full_name: Bozic, Ivana last_name: Bozic - first_name: Krishnendu full_name: Chatterjee, Krishnendu id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87 last_name: Chatterjee orcid: 0000-0002-4561-241X - first_name: Christine full_name: Iacobuzio-Donahue, Christine last_name: Iacobuzio-Donahue - first_name: Bert full_name: Vogelstein, Bert last_name: Vogelstein - first_name: Martin full_name: Nowak, Martin last_name: Nowak citation: ama: Reiter J, Makohon-Moore A, Gerold J, et al. Reconstructing Robust Phylogenies of Metastatic Cancers. IST Austria; 2015. doi:10.15479/AT:IST-2015-399-v1-1 apa: Reiter, J., Makohon-Moore, A., Gerold, J., Bozic, I., Chatterjee, K., Iacobuzio-Donahue, C., … Nowak, M. (2015). Reconstructing robust phylogenies of metastatic cancers. IST Austria. https://doi.org/10.15479/AT:IST-2015-399-v1-1 chicago: Reiter, Johannes, Alvin Makohon-Moore, Jeffrey Gerold, Ivana Bozic, Krishnendu Chatterjee, Christine Iacobuzio-Donahue, Bert Vogelstein, and Martin Nowak. Reconstructing Robust Phylogenies of Metastatic Cancers. IST Austria, 2015. https://doi.org/10.15479/AT:IST-2015-399-v1-1. ieee: J. Reiter et al., Reconstructing robust phylogenies of metastatic cancers. IST Austria, 2015. ista: Reiter J, Makohon-Moore A, Gerold J, Bozic I, Chatterjee K, Iacobuzio-Donahue C, Vogelstein B, Nowak M. 2015. Reconstructing robust phylogenies of metastatic cancers, IST Austria, 25p. mla: Reiter, Johannes, et al. Reconstructing Robust Phylogenies of Metastatic Cancers. IST Austria, 2015, doi:10.15479/AT:IST-2015-399-v1-1. short: J. Reiter, A. Makohon-Moore, J. Gerold, I. Bozic, K. Chatterjee, C. Iacobuzio-Donahue, B. Vogelstein, M. Nowak, Reconstructing Robust Phylogenies of Metastatic Cancers, IST Austria, 2015. date_created: 2018-12-12T11:39:22Z date_published: 2015-12-30T00:00:00Z date_updated: 2020-07-14T23:05:07Z day: '30' ddc: - '000' - '576' department: - _id: KrCh doi: 10.15479/AT:IST-2015-399-v1-1 file: - access_level: open_access checksum: c47d33bdda06181753c0af36f16e7b5d content_type: application/pdf creator: system date_created: 2018-12-12T11:53:24Z date_updated: 2020-07-14T12:46:58Z file_id: '5485' file_name: IST-2015-399-v1+1_treeomics.pdf file_size: 3533200 relation: main_file file_date_updated: 2020-07-14T12:46:58Z has_accepted_license: '1' language: - iso: eng month: '12' oa: 1 oa_version: Published Version page: '25' publication_identifier: issn: - 2664-1690 publication_status: published publisher: IST Austria pubrep_id: '399' status: public title: Reconstructing robust phylogenies of metastatic cancers type: technical_report user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2015' ... --- _id: '5549' abstract: - lang: eng text: "This repository contains the experimental part of the CAV 2015 publication Counterexample Explanation by Learning Small Strategies in Markov Decision Processes.\r\nWe extended the probabilistic model checker PRISM to represent strategies of Markov Decision Processes as Decision Trees.\r\nThe archive contains a java executable version of the extended tool (prism_dectree.jar) together with a few examples of the PRISM benchmark library.\r\nTo execute the program, please have a look at the README.txt, which provides instructions and further information on the archive.\r\nThe archive contains scripts that (if run often enough) reproduces the data presented in the publication." article_processing_charge: No author: - first_name: Andreas full_name: Fellner, Andreas id: 42BABFB4-F248-11E8-B48F-1D18A9856A87 last_name: Fellner citation: ama: 'Fellner A. Experimental part of CAV 2015 publication: Counterexample Explanation by Learning Small Strategies in Markov Decision Processes. 2015. doi:10.15479/AT:ISTA:28' apa: 'Fellner, A. (2015). Experimental part of CAV 2015 publication: Counterexample Explanation by Learning Small Strategies in Markov Decision Processes. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:28' chicago: 'Fellner, Andreas. “Experimental Part of CAV 2015 Publication: Counterexample Explanation by Learning Small Strategies in Markov Decision Processes.” Institute of Science and Technology Austria, 2015. https://doi.org/10.15479/AT:ISTA:28.' ieee: 'A. Fellner, “Experimental part of CAV 2015 publication: Counterexample Explanation by Learning Small Strategies in Markov Decision Processes.” Institute of Science and Technology Austria, 2015.' ista: 'Fellner A. 2015. Experimental part of CAV 2015 publication: Counterexample Explanation by Learning Small Strategies in Markov Decision Processes, Institute of Science and Technology Austria, 10.15479/AT:ISTA:28.' mla: 'Fellner, Andreas. Experimental Part of CAV 2015 Publication: Counterexample Explanation by Learning Small Strategies in Markov Decision Processes. Institute of Science and Technology Austria, 2015, doi:10.15479/AT:ISTA:28.' short: A. Fellner, (2015). contributor: - first_name: Jan id: 44CEF464-F248-11E8-B48F-1D18A9856A87 last_name: Kretinsky datarep_id: '28' date_created: 2018-12-12T12:31:29Z date_published: 2015-08-13T00:00:00Z date_updated: 2024-02-21T13:52:07Z day: '13' ddc: - '004' department: - _id: KrCh - _id: ToHe doi: 10.15479/AT:ISTA:28 ec_funded: 1 file: - access_level: open_access checksum: b8bcb43c0893023cda66c1b69c16ac62 content_type: application/zip creator: system date_created: 2018-12-12T13:02:31Z date_updated: 2020-07-14T12:47:00Z file_id: '5597' file_name: IST-2015-28-v1+2_Fellner_DataRep.zip file_size: 49557109 relation: main_file file_date_updated: 2020-07-14T12:47:00Z has_accepted_license: '1' keyword: - Markov Decision Process - Decision Tree - Probabilistic Verification - Counterexample Explanation month: '08' oa: 1 oa_version: Published Version project: - _id: 2581B60A-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '279307' name: 'Quantitative Graph Games: Theory and Applications' - _id: 25832EC2-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S 11407_N23 name: Rigorous Systems Engineering publisher: Institute of Science and Technology Austria publist_id: '5564' related_material: record: - id: '1603' relation: popular_science status: public status: public title: 'Experimental part of CAV 2015 publication: Counterexample Explanation by Learning Small Strategies in Markov Decision Processes' tmp: image: /images/cc_0.png legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode name: Creative Commons Public Domain Dedication (CC0 1.0) short: CC0 (1.0) type: research_data user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2015' ... --- _id: '10794' abstract: - lang: eng text: Mathematical models are of fundamental importance in the understanding of complex population dynamics. For instance, they can be used to predict the population evolution starting from different initial conditions or to test how a system responds to external perturbations. For this analysis to be meaningful in real applications, however, it is of paramount importance to choose an appropriate model structure and to infer the model parameters from measured data. While many parameter inference methods are available for models based on deterministic ordinary differential equations, the same does not hold for more detailed individual-based models. Here we consider, in particular, stochastic models in which the time evolution of the species abundances is described by a continuous-time Markov chain. These models are governed by a master equation that is typically difficult to solve. Consequently, traditional inference methods that rely on iterative evaluation of parameter likelihoods are computationally intractable. The aim of this paper is to present recent advances in parameter inference for continuous-time Markov chain models, based on a moment closure approximation of the parameter likelihood, and to investigate how these results can help in understanding, and ultimately controlling, complex systems in ecology. Specifically, we illustrate through an agricultural pest case study how parameters of a stochastic individual-based model can be identified from measured data and how the resulting model can be used to solve an optimal control problem in a stochastic setting. In particular, we show how the matter of determining the optimal combination of two different pest control methods can be formulated as a chance constrained optimization problem where the control action is modeled as a state reset, leading to a hybrid system formulation. acknowledgement: "The authors would like to acknowledge contributions from Baptiste Mottet who performed preliminary analysis regarding parameter inference for the considered case study in a student project (Mottet, 2014/2015).\r\nThe research leading to these results has received funding from the People Programme (Marie Curie Actions) of the European Union's Seventh Framework Programme (FP7/2007-2013) under REA grant agreement No. [291734] and from SystemsX under the project SignalX." article_number: '42' article_processing_charge: No article_type: original author: - first_name: Francesca full_name: Parise, Francesca last_name: Parise - first_name: John full_name: Lygeros, John last_name: Lygeros - first_name: Jakob full_name: Ruess, Jakob id: 4A245D00-F248-11E8-B48F-1D18A9856A87 last_name: Ruess orcid: 0000-0003-1615-3282 citation: ama: 'Parise F, Lygeros J, Ruess J. Bayesian inference for stochastic individual-based models of ecological systems: a pest control simulation study. Frontiers in Environmental Science. 2015;3. doi:10.3389/fenvs.2015.00042' apa: 'Parise, F., Lygeros, J., & Ruess, J. (2015). Bayesian inference for stochastic individual-based models of ecological systems: a pest control simulation study. Frontiers in Environmental Science. Frontiers. https://doi.org/10.3389/fenvs.2015.00042' chicago: 'Parise, Francesca, John Lygeros, and Jakob Ruess. “Bayesian Inference for Stochastic Individual-Based Models of Ecological Systems: A Pest Control Simulation Study.” Frontiers in Environmental Science. Frontiers, 2015. https://doi.org/10.3389/fenvs.2015.00042.' ieee: 'F. Parise, J. Lygeros, and J. Ruess, “Bayesian inference for stochastic individual-based models of ecological systems: a pest control simulation study,” Frontiers in Environmental Science, vol. 3. Frontiers, 2015.' ista: 'Parise F, Lygeros J, Ruess J. 2015. Bayesian inference for stochastic individual-based models of ecological systems: a pest control simulation study. Frontiers in Environmental Science. 3, 42.' mla: 'Parise, Francesca, et al. “Bayesian Inference for Stochastic Individual-Based Models of Ecological Systems: A Pest Control Simulation Study.” Frontiers in Environmental Science, vol. 3, 42, Frontiers, 2015, doi:10.3389/fenvs.2015.00042.' short: F. Parise, J. Lygeros, J. Ruess, Frontiers in Environmental Science 3 (2015). date_created: 2022-02-25T11:42:25Z date_published: 2015-06-10T00:00:00Z date_updated: 2022-02-25T11:59:23Z day: '10' ddc: - '000' - '570' department: - _id: ToHe - _id: GaTk doi: 10.3389/fenvs.2015.00042 ec_funded: 1 file: - access_level: open_access checksum: 26c222487564e1be02a11d688d6f769d content_type: application/pdf creator: dernst date_created: 2022-02-25T11:55:26Z date_updated: 2022-02-25T11:55:26Z file_id: '10795' file_name: 2015_FrontiersEnvironmScience_Parise.pdf file_size: 1371201 relation: main_file success: 1 file_date_updated: 2022-02-25T11:55:26Z has_accepted_license: '1' intvolume: ' 3' keyword: - General Environmental Science language: - iso: eng month: '06' oa: 1 oa_version: Published Version project: - _id: 25681D80-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '291734' name: International IST Postdoc Fellowship Programme publication: Frontiers in Environmental Science publication_identifier: issn: - 2296-665X publication_status: published publisher: Frontiers quality_controlled: '1' scopus_import: '1' status: public title: 'Bayesian inference for stochastic individual-based models of ecological systems: a pest control simulation study' 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: 3 year: '2015' ...