Seldin, Yevgeny

34 publications

NeurIPS 2024 A Best-of-Both-Worlds Algorithm for Bandits with Delayed Feedback with Robustness to Excessive Delays Saeed Masoudian, Julian Zimmert, Yevgeny Seldin

ICMLW 2024 A Best-of-Both-Worlds Algorithm for Bandits with Delayed Feedback with Robustness to Excessive Delays Saeed Masoudian, Julian Zimmert, Yevgeny Seldin

NeurIPS 2024 Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss Yi-Shan Wu, Yijie Zhang, Badr-Eddine Chérief-Abdellatif, Yevgeny Seldin

ICMLW 2024 Robust Best-of-Both-Worlds Gap Estimators Based on Importance-Weighted Sampling Sarah Clusiau, Saeed Masoudian, Yevgeny Seldin

ICML 2023 Delayed Bandits: When Do Intermediate Observations Help? Emmanuel Esposito, Saeed Masoudian, Hao Qiu, Dirk Van Der Hoeven, Nicolò Cesa-Bianchi, Yevgeny Seldin

NeurIPS 2022 A Best-of-Both-Worlds Algorithm for Bandits with Delayed Feedback Saeed Masoudian, Julian Zimmert, Yevgeny Seldin

NeurIPS 2022 A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs Chloé Rouyer, Dirk van der Hoeven, Nicolò Cesa-Bianchi, Yevgeny Seldin

NeurIPS 2022 Split-Kl and PAC-Bayes-Split-Kl Inequalities for Ternary Random Variables Yi-Shan Wu, Yevgeny Seldin

ICML 2021 An Algorithm for Stochastic and Adversarial Bandits with Switching Costs Chloé Rouyer, Yevgeny Seldin, Nicolò Cesa-Bianchi

NeurIPS 2021 Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote Yi-Shan Wu, Andres Masegosa, Stephan Lorenzen, Christian Igel, Yevgeny Seldin

COLT 2021 Improved Analysis of the Tsallis-INF Algorithm in Stochastically Constrained Adversarial Bandits and Stochastic Bandits with Adversarial Corruptions Saeed Masoudian, Yevgeny Seldin

JMLR 2021 Tsallis-INF: An Optimal Algorithm for Stochastic and Adversarial Bandits Julian Zimmert, Yevgeny Seldin

AISTATS 2020 An Optimal Algorithm for Adversarial Bandits with Arbitrary Delays Julian Zimmert, Yevgeny Seldin

NeurIPS 2020 Second Order PAC-Bayesian Bounds for the Weighted Majority Vote Andres Masegosa, Stephan Lorenzen, Christian Igel, Yevgeny Seldin

COLT 2020 Tsallis-INF for Decoupled Exploration and Exploitation in Multi-Armed Bandits Chloé Rouyer, Yevgeny Seldin

AISTATS 2019 An Optimal Algorithm for Stochastic and Adversarial Bandits Julian Zimmert, Yevgeny Seldin

NeurIPS 2019 Nonstochastic Multiarmed Bandits with Unrestricted Delays Tobias Sommer Thune, Nicolò Cesa-Bianchi, Yevgeny Seldin

MLJ 2019 On PAC-Bayesian Bounds for Random Forests Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin

NeurIPS 2018 Adaptation to Easy Data in Prediction with Limited Advice Tobias Sommer Thune, Yevgeny Seldin

NeurIPS 2018 Factored Bandits Julian Zimmert, Yevgeny Seldin

ALT 2017 A Strongly Quasiconvex PAC-Bayesian Bound Niklas Thiemann, Christian Igel, Olivier Wintenberger, Yevgeny Seldin

COLT 2017 An Improved Parametrization and Analysis of the EXP3++ Algorithm for Stochastic and Adversarial Bandits Yevgeny Seldin, Gábor Lugosi

ICML 2014 One Practical Algorithm for Both Stochastic and Adversarial Bandits Yevgeny Seldin, Aleksandrs Slivkins

ICML 2014 Prediction with Limited Advice and Multiarmed Bandits with Paid Observations Yevgeny Seldin, Peter Bartlett, Koby Crammer, Yasin Abbasi-Yadkori

NeurIPS 2013 Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions Yasin Abbasi Yadkori, Peter L Bartlett, Varun Kanade, Yevgeny Seldin, Csaba Szepesvari

COLT 2013 Open Problem: Adversarial Multiarmed Bandits with Limited Advice Yevgeny Seldin, Koby Crammer, Peter L. Bartlett

NeurIPS 2013 PAC-Bayes-Empirical-Bernstein Inequality Ilya O Tolstikhin, Yevgeny Seldin

UAI 2012 PAC-Bayesian Inequalities for Martingales Yevgeny Seldin, François Laviolette, Nicolò Cesa-Bianchi, John Shawe-Taylor, Peter Auer

NeurIPS 2011 PAC-Bayesian Analysis of Contextual Bandits Yevgeny Seldin, Peter Auer, John S. Shawe-taylor, Ronald Ortner, François Laviolette

JMLR 2010 PAC-Bayesian Analysis of Co-Clustering and Beyond Yevgeny Seldin, Naftali Tishby

AISTATS 2009 PAC-Bayesian Generalization Bound for Density Estimation with Application to Co-Clustering Yevgeny Seldin, Naftali Tishby

ICML 2008 Multi-Classification by Categorical Features via Clustering Yevgeny Seldin, Naftali Tishby

NeurIPS 2006 Information Bottleneck for Non Co-Occurrence Data Yevgeny Seldin, Noam Slonim, Naftali Tishby

ICML 2001 Unsupervised Sequence Segmentation by a Mixture of Switching Variable Memory Markov Sources Yevgeny Seldin, Gill Bejerano, Naftali Tishby