Yevgeny Seldin

67 papers A* 21A 5B 1Journal 32Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Machine Learning. The Science of Selection under Uncertainty. CoRR Yevgeny Seldin
2024	A*	`conf`	A Best-of-both-worlds Algorithm for Bandits with Delayed Feedback with Robustness to Excessive Delays. NeurIPS Saeed Masoudian, Julian Zimmert, Yevgeny Seldin
2024	A*	`conf`	Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss. NeurIPS Yi-Shan Wu, Yijie Zhang, Badr-Eddine Chérief-Abdellatif, Yevgeny Seldin
2024	J	`jnl`	Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss. CoRR Yi-Shan Wu, Yijie Zhang, Badr-Eddine Chérief-Abdellatif, Yevgeny Seldin
2023	J	`jnl`	An Improved Best-of-both-worlds Algorithm for Bandits with Delayed Feedback. CoRR Saeed Masoudian, Julian Zimmert, Yevgeny Seldin
2023	A*	`conf`	Delayed Bandits: When Do Intermediate Observations Help? ICML Emmanuel Esposito, Saeed Masoudian, Hao Qiu, Dirk van der Hoeven, Nicolò Cesa-Bianchi, Yevgeny Seldin
2023	J	`jnl`	Delayed Bandits: When Do Intermediate Observations Help? CoRR Emmanuel Esposito, Saeed Masoudian, Hao Qiu, Dirk van der Hoeven, Nicolò Cesa-Bianchi, Yevgeny Seldin
2022	A*	`conf`	A Best-of-Both-Worlds Algorithm for Bandits with Delayed Feedback. NeurIPS Saeed Masoudian, Julian Zimmert, Yevgeny Seldin
2022	J	`jnl`	A Best-of-Both-Worlds Algorithm for Bandits with Delayed Feedback. CoRR Saeed Masoudian, Julian Zimmert, Yevgeny Seldin
2022	A*	`conf`	A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs. NeurIPS Chloé Rouyer, Dirk van der Hoeven, Nicolò Cesa-Bianchi, Yevgeny Seldin
2022	J	`jnl`	A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs. CoRR Chloé Rouyer, Dirk van der Hoeven, Nicolò Cesa-Bianchi, Yevgeny Seldin
2022	A*	`conf`	Split-kl and PAC-Bayes-split-kl Inequalities for Ternary Random Variables. NeurIPS Yi-Shan Wu, Yevgeny Seldin
2022	J	`jnl`	Split-kl and PAC-Bayes-split-kl Inequalities. CoRR Yi-Shan Wu, Yevgeny Seldin
2021	A*	`conf`	An Algorithm for Stochastic and Adversarial Bandits with Switching Costs. ICML Chloé Rouyer, Yevgeny Seldin, Nicolò Cesa-Bianchi
2021	J	`jnl`	An Algorithm for Stochastic and Adversarial Bandits with Switching Costs. CoRR Chloé Rouyer, Yevgeny Seldin, Nicolò Cesa-Bianchi
2021	A*	`conf`	Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote. NeurIPS Yi-Shan Wu, Andrés R. Masegosa, Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin
2021	J	`jnl`	Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote. CoRR Yi-Shan Wu, Andrés R. Masegosa, Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin
2021	J	`jnl`	Improved Analysis of Robustness of the Tsallis-INF Algorithm to Adversarial Corruptions in Stochastic Multiarmed Bandits. CoRR Saeed Masoudian, Yevgeny Seldin
2021	A*	`conf`	Improved Analysis of the Tsallis-INF Algorithm in Stochastically Constrained Adversarial Bandits and Stochastic Bandits with Adversarial Corruptions. COLT Saeed Masoudian, Yevgeny Seldin
2021	J	`jnl`	Tsallis-INF: An Optimal Algorithm for Stochastic and Adversarial Bandits. J. Mach. Learn. Res. Julian Zimmert, Yevgeny Seldin
2020	A	`conf`	An Optimal Algorithm for Adversarial Bandits with Arbitrary Delays. AISTATS Julian Zimmert, Yevgeny Seldin
2020	A*	`conf`	Second Order PAC-Bayesian Bounds for the Weighted Majority Vote. NeurIPS Andrés R. Masegosa, Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin
2020	J	`jnl`	Second Order PAC-Bayesian Bounds for the Weighted Majority Vote. CoRR Andrés R. Masegosa, Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin
2020	A*	`conf`	Tsallis-INF for Decoupled Exploration and Exploitation in Multi-armed Bandits. COLT Chloé Rouyer, Yevgeny Seldin
2019	J	`jnl`	An Optimal Algorithm for Adversarial Bandits with Arbitrary Delays. CoRR Julian Zimmert, Yevgeny Seldin
2019	A	`conf`	An Optimal Algorithm for Stochastic and Adversarial Bandits. AISTATS Julian Zimmert, Yevgeny Seldin
2019	A*	`conf`	Nonstochastic Multiarmed Bandits with Unrestricted Delays. NeurIPS Tobias Sommer Thune, Nicolò Cesa-Bianchi, Yevgeny Seldin
2019	J	`jnl`	Nonstochastic Multiarmed Bandits with Unrestricted Delays. CoRR Tobias Sommer Thune, Nicolò Cesa-Bianchi, Yevgeny Seldin
2019	J	`jnl`	On PAC-Bayesian bounds for random forests. Mach. Learn. Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin
2018	A*	`conf`	Adaptation to Easy Data in Prediction with Limited Advice. NeurIPS Tobias Sommer Thune, Yevgeny Seldin
2018	J	`jnl`	Adaptation to Easy Data in Prediction with Limited Advice. CoRR Tobias Sommer Thune, Yevgeny Seldin
2018	J	`jnl`	An Optimal Algorithm for Stochastic and Adversarial Bandits. CoRR Julian Zimmert, Yevgeny Seldin
2018	A*	`conf`	Factored Bandits. NeurIPS Julian Zimmert, Yevgeny Seldin
2018	J	`jnl`	Factored Bandits. CoRR Julian Zimmert, Yevgeny Seldin
2018	J	`jnl`	On PAC-Bayesian Bounds for Random Forests. CoRR Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin
2017	B	`conf`	A Strongly Quasiconvex PAC-Bayesian Bound. ALT Niklas Thiemann, Christian Igel, Olivier Wintenberger, Yevgeny Seldin
2017	A*	`conf`	An Improved Parametrization and Analysis of the EXP3++ Algorithm for Stochastic and Adversarial Bandits. COLT Yevgeny Seldin, Gábor Lugosi
2017	J	`jnl`	An Improved Parametrization and Analysis of the EXP3++ Algorithm for Stochastic and Adversarial Bandits. CoRR Yevgeny Seldin, Gábor Lugosi
2016	A*	`conf`	An Improved Multileaving Algorithm for Online Ranker Evaluation. SIGIR Brian Brost, Ingemar J. Cox, Yevgeny Seldin, Christina Lioma
2016	J	`jnl`	An Improved Multileaving Algorithm for Online Ranker Evaluation. CoRR Brian Brost, Ingemar J. Cox, Yevgeny Seldin, Christina Lioma
2016	A	`conf`	Multi-Dueling Bandits and Their Application to Online Ranker Evaluation. CIKM Brian Brost, Yevgeny Seldin, Ingemar J. Cox, Christina Lioma
2016	J	`jnl`	Multi-Dueling Bandits and Their Application to Online Ranker Evaluation. CoRR Brian Brost, Yevgeny Seldin, Ingemar J. Cox, Christina Lioma
2016	J	`jnl`	PAC-Bayesian Aggregation without Cross-Validation. CoRR Niklas Thiemann, Christian Igel, Yevgeny Seldin
2014	A*	`conf`	One Practical Algorithm for Both Stochastic and Adversarial Bandits. ICML Yevgeny Seldin, Aleksandrs Slivkins
2014	A*	`conf`	Prediction with Limited Advice and Multiarmed Bandits with Paid Observations. ICML Yevgeny Seldin, Peter L. Bartlett, Koby Crammer, Yasin Abbasi-Yadkori
2013	J	`jnl`	Advice-Efficient Prediction with Expert Advice CoRR Yevgeny Seldin, Peter L. Bartlett, Koby Crammer
2013	—	`conf`	On the Relations and Differences Between Popper Dimension, Exclusion Dimension and VC-Dimension. Empirical Inference Yevgeny Seldin, Bernhard Schölkopf
2013	—	`conf`	Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions. NIPS Yasin Abbasi-Yadkori, Peter L. Bartlett, Varun Kanade, Yevgeny Seldin, Csaba Szepesvári
2013	A*	`conf`	Open Problem: Adversarial Multiarmed Bandits with Limited Advice. COLT Yevgeny Seldin, Koby Crammer, Peter L. Bartlett
2013	—	`conf`	PAC-Bayes-Empirical-Bernstein Inequality. NIPS Ilya O. Tolstikhin, Yevgeny Seldin
2012	—	`conf`	Evaluation and Analysis of the Performance of the EXP3 Algorithm in Stochastic Environments. EWRL Yevgeny Seldin, Csaba Szepesvári, Peter Auer, Yasin Abbasi-Yadkori
2012	—	`conf`	PAC-Bayes-Bernstein Inequality for Martingales and its Application to Multiarmed Bandits. ICML On-line Trading of Exploration and Exploitation Yevgeny Seldin, Nicolò Cesa-Bianchi, Peter Auer, François Laviolette, John Shawe-Taylor
2012	A	`conf`	PAC-Bayesian Inequalities for Martingales. UAI Yevgeny Seldin, François Laviolette, Nicolò Cesa-Bianchi, John Shawe-Taylor, Peter Auer
2012	J	`jnl`	PAC-Bayesian Inequalities for Martingales. IEEE Trans. Inf. Theory Yevgeny Seldin, François Laviolette, Nicolò Cesa-Bianchi, John Shawe-Taylor, Peter Auer
2011	J	`jnl`	PAC-Bayes-Bernstein Inequality for Martingales and its Application to Multiarmed Bandits CoRR Yevgeny Seldin, Nicolò Cesa-Bianchi, Peter Auer, François Laviolette, John Shawe-Taylor
2011	—	`conf`	PAC-Bayesian Analysis of Contextual Bandits. NIPS Yevgeny Seldin, Peter Auer, François Laviolette, John Shawe-Taylor, Ronald Ortner
2011	J	`jnl`	PAC-Bayesian Analysis of Martingales and Multiarmed Bandits CoRR Yevgeny Seldin, François Laviolette, John Shawe-Taylor, Jan Peters, Peter Auer
2011	J	`jnl`	PAC-Bayesian Analysis of the Exploration-Exploitation Trade-off CoRR Yevgeny Seldin, Nicolò Cesa-Bianchi, François Laviolette, Peter Auer, John Shawe-Taylor, Jan Peters
2011	J	`jnl`	PAC-Bayesian Inequalities for Martingales CoRR Yevgeny Seldin, François Laviolette, Nicolò Cesa-Bianchi, John Shawe-Taylor, Peter Auer
2010	J	`jnl`	A PAC-Bayesian Analysis of Graph Clustering and Pairwise Clustering CoRR Yevgeny Seldin
2010	J	`jnl`	PAC-Bayesian Analysis of Co-clustering and Beyond. J. Mach. Learn. Res. Yevgeny Seldin, Naftali Tishby
2009	—	`—`	A PAC-Bayesian approach to structure learning (עם תקציר בעברית ושער נוסף: גישה PAC-ביסיאנית ללמידת מבנה.; Probably approximately correct learning.). Yevgeny Seldin
2009	A	`conf`	PAC-Bayesian Generalization Bound for Density Estimation with Application to Co-clustering. AISTATS Yevgeny Seldin, Naftali Tishby
2008	A*	`conf`	Multi-classification by categorical features via clustering. ICML Yevgeny Seldin, Naftali Tishby
2006	—	`conf`	Information Bottleneck for Non Co-Occurrence Data. NIPS Yevgeny Seldin, Noam Slonim, Naftali Tishby
2001	J	`jnl`	Markovian domain fingerprinting: statistical segmentation of protein sequences. Bioinform. Gill Bejerano, Yevgeny Seldin, Hanah Margalit, Naftali Tishby
2001	A*	`conf`	Unsupervised Sequence Segmentation by a Mixture of Switching Variable Memory Markov Sources. ICML Yevgeny Seldin, Gill Bejerano, Naftali Tishby