Yevgeny Seldin
Orcid: 0000-0003-3152-4635
According to our database1,
Yevgeny Seldin
authored at least 45 papers
between 2001 and 2023.
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Bibliography
2023
CoRR, 2023
Proceedings of the International Conference on Machine Learning, 2023
2022
A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
J. Mach. Learn. Res., 2021
Improved Analysis of Robustness of the Tsallis-INF Algorithm to Adversarial Corruptions in Stochastic Multiarmed Bandits.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Improved Analysis of the Tsallis-INF Algorithm in Stochastically Constrained Adversarial Bandits and Stochastic Bandits with Adversarial Corruptions.
Proceedings of the Conference on Learning Theory, 2021
2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Conference on Learning Theory, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
2017
An Improved Parametrization and Analysis of the EXP3++ Algorithm for Stochastic and Adversarial Bandits.
Proceedings of the 30th Conference on Learning Theory, 2017
Proceedings of the International Conference on Algorithmic Learning Theory, 2017
2016
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the COLT 2013, 2013
On the Relations and Differences Between Popper Dimension, Exclusion Dimension and VC-Dimension.
Proceedings of the Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik, 2013
2012
PAC-Bayes-Bernstein Inequality for Martingales and its Application to Multiarmed Bandits.
Proceedings of the Workshop on On-line Trading of Exploration and Exploitation 2, 2012
Evaluation and Analysis of the Performance of the EXP3 Algorithm in Stochastic Environments.
Proceedings of the Tenth European Workshop on Reinforcement Learning, 2012
2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
2010
2009
A PAC-Bayesian approach to structure learning (עם תקציר בעברית ושער נוסף: גישה PAC-ביסיאנית ללמידת מבנה.; Probably approximately correct learning.).
PhD thesis, 2009
PAC-Bayesian Generalization Bound for Density Estimation with Application to Co-clustering.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009
2008
Proceedings of the Machine Learning, 2008
2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
2001
Bioinform., 2001
Unsupervised Sequence Segmentation by a Mixture of Switching Variable Memory Markov Sources.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001