{"scopus_import":1,"date_created":"2018-12-11T11:51:57Z","date_published":"2015-01-01T00:00:00Z","project":[{"call_identifier":"FP7","grant_number":"308036","name":"Lifelong Learning of Visual Scene Understanding","_id":"2532554C-B435-11E9-9278-68D0E5697425"}],"title":"Lifelong learning with non-i.i.d. tasks","citation":{"short":"A. Pentina, C. Lampert, in:, Neural Information Processing Systems, 2015, pp. 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.","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.","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.","ama":"Pentina A, Lampert C. Lifelong learning with non-i.i.d. tasks. In: Vol 2015. Neural Information Processing Systems; 2015:1540-1548.","chicago":"Pentina, Anastasia, and Christoph Lampert. “Lifelong Learning with Non-i.i.d. Tasks,” 2015:1540–48. Neural Information Processing Systems, 2015."},"author":[{"id":"42E87FC6-F248-11E8-B48F-1D18A9856A87","last_name":"Pentina","first_name":"Anastasia","full_name":"Pentina, Anastasia"},{"full_name":"Lampert, Christoph","id":"40C20FD2-F248-11E8-B48F-1D18A9856A87","last_name":"Lampert","first_name":"Christoph","orcid":"0000-0001-8622-7887"}],"month":"01","volume":2015,"publication_status":"published","quality_controlled":"1","_id":"1425","status":"public","alternative_title":["Advances in Neural Information Processing Systems"],"type":"conference","department":[{"_id":"ChLa"}],"oa_version":"None","page":"1540 - 1548","oa":1,"user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","publisher":"Neural Information Processing Systems","abstract":[{"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.","lang":"eng"}],"intvolume":"      2015","publist_id":"5781","main_file_link":[{"url":"http://papers.nips.cc/paper/6007-lifelong-learning-with-non-iid-tasks","open_access":"1"}],"year":"2015","language":[{"iso":"eng"}],"day":"01","date_updated":"2021-01-12T06:50:39Z","ec_funded":1,"conference":{"name":"NIPS: Neural Information Processing Systems","location":"Montreal, Canada","start_date":"2015-12-07","end_date":"2015-12-12"}}