Yevgeny Seldin

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 40

Top Topics

Multi Armed Bandits

Top Venues

Publications

Yi-Shan Wu, Yijie Zhang, Badr-Eddine Chérief-Abdellatif, Yevgeny Seldin
Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss. CoRR (2024)
Emmanuel Esposito, Saeed Masoudian, Hao Qiu, Dirk van der Hoeven, Nicolò Cesa-Bianchi, Yevgeny Seldin
Delayed Bandits: When Do Intermediate Observations Help? CoRR (2023)
Saeed Masoudian, Julian Zimmert, Yevgeny Seldin
An Improved Best-of-both-worlds Algorithm for Bandits with Delayed Feedback. CoRR (2023)
Emmanuel Esposito, Saeed Masoudian, Hao Qiu, Dirk van der Hoeven, Nicolò Cesa-Bianchi, Yevgeny Seldin
Delayed Bandits: When Do Intermediate Observations Help? ICML (2023)
Chloé Rouyer, Dirk van der Hoeven, Nicolò Cesa-Bianchi, Yevgeny Seldin
A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs. NeurIPS (2022)
Yi-Shan Wu, Yevgeny Seldin
Split-kl and PAC-Bayes-split-kl Inequalities. CoRR (2022)
Chloé Rouyer, Dirk van der Hoeven, Nicolò Cesa-Bianchi, Yevgeny Seldin
A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs. CoRR (2022)
Yi-Shan Wu, Yevgeny Seldin
Split-kl and PAC-Bayes-split-kl Inequalities for Ternary Random Variables. NeurIPS (2022)
Saeed Masoudian, Julian Zimmert, Yevgeny Seldin
A Best-of-Both-Worlds Algorithm for Bandits with Delayed Feedback. NeurIPS (2022)
Saeed Masoudian, Julian Zimmert, Yevgeny Seldin
A Best-of-Both-Worlds Algorithm for Bandits with Delayed Feedback. CoRR (2022)
Saeed Masoudian, Yevgeny Seldin
Improved Analysis of the Tsallis-INF Algorithm in Stochastically Constrained Adversarial Bandits and Stochastic Bandits with Adversarial Corruptions. COLT (2021)
Yi-Shan Wu, Andrés R. Masegosa, Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin
Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote. CoRR (2021)
Julian Zimmert, Yevgeny Seldin
Tsallis-INF: An Optimal Algorithm for Stochastic and Adversarial Bandits. J. Mach. Learn. Res. 22 (2021)
Saeed Masoudian, Yevgeny Seldin
Improved Analysis of Robustness of the Tsallis-INF Algorithm to Adversarial Corruptions in Stochastic Multiarmed Bandits. CoRR (2021)
Yi-Shan Wu, Andrés R. Masegosa, Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin
Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote. NeurIPS (2021)
Chloé Rouyer, Yevgeny Seldin, Nicolò Cesa-Bianchi
An Algorithm for Stochastic and Adversarial Bandits with Switching Costs. ICML (2021)
Chloé Rouyer, Yevgeny Seldin, Nicolò Cesa-Bianchi
An Algorithm for Stochastic and Adversarial Bandits with Switching Costs. CoRR (2021)
Julian Zimmert, Yevgeny Seldin
An Optimal Algorithm for Adversarial Bandits with Arbitrary Delays. AISTATS (2020)
Andrés R. Masegosa, Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote. CoRR (2020)
Andrés R. Masegosa, Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote. NeurIPS (2020)
Chloé Rouyer, Yevgeny Seldin
Tsallis-INF for Decoupled Exploration and Exploitation in Multi-armed Bandits. COLT (2020)
Julian Zimmert, Yevgeny Seldin
An Optimal Algorithm for Stochastic and Adversarial Bandits. AISTATS (2019)
Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin
On PAC-Bayesian bounds for random forests. Mach. Learn. 108 (8-9) (2019)
Tobias Sommer Thune, Nicolò Cesa-Bianchi, Yevgeny Seldin
Nonstochastic Multiarmed Bandits with Unrestricted Delays. CoRR (2019)
Julian Zimmert, Yevgeny Seldin
An Optimal Algorithm for Adversarial Bandits with Arbitrary Delays. CoRR (2019)
Tobias Sommer Thune, Nicolò Cesa-Bianchi, Yevgeny Seldin
Nonstochastic Multiarmed Bandits with Unrestricted Delays. NeurIPS (2019)
Tobias Sommer Thune, Yevgeny Seldin
Adaptation to Easy Data in Prediction with Limited Advice. NeurIPS (2018)
Julian Zimmert, Yevgeny Seldin
Factored Bandits. CoRR (2018)
Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin
On PAC-Bayesian Bounds for Random Forests. CoRR (2018)
Julian Zimmert, Yevgeny Seldin
An Optimal Algorithm for Stochastic and Adversarial Bandits. CoRR (2018)
Julian Zimmert, Yevgeny Seldin
Factored Bandits. NeurIPS (2018)
Tobias Sommer Thune, Yevgeny Seldin
Adaptation to Easy Data in Prediction with Limited Advice. CoRR (2018)
Yevgeny Seldin, Gábor Lugosi
An Improved Parametrization and Analysis of the EXP3++ Algorithm for Stochastic and Adversarial Bandits. CoRR (2017)
Niklas Thiemann, Christian Igel, Olivier Wintenberger, Yevgeny Seldin
A Strongly Quasiconvex PAC-Bayesian Bound. ALT (2017)
Yevgeny Seldin, Gábor Lugosi
An Improved Parametrization and Analysis of the EXP3++ Algorithm for Stochastic and Adversarial Bandits. COLT (2017)
Brian Brost, Yevgeny Seldin, Ingemar J. Cox, Christina Lioma
Multi-Dueling Bandits and Their Application to Online Ranker Evaluation. CoRR (2016)
Brian Brost, Ingemar J. Cox, Yevgeny Seldin, Christina Lioma
An Improved Multileaving Algorithm for Online Ranker Evaluation. SIGIR (2016)
Niklas Thiemann, Christian Igel, Yevgeny Seldin
PAC-Bayesian Aggregation without Cross-Validation. CoRR (2016)
Brian Brost, Yevgeny Seldin, Ingemar J. Cox, Christina Lioma
Multi-Dueling Bandits and Their Application to Online Ranker Evaluation. CIKM (2016)
Brian Brost, Ingemar J. Cox, Yevgeny Seldin, Christina Lioma
An Improved Multileaving Algorithm for Online Ranker Evaluation. CoRR (2016)
Yevgeny Seldin, Aleksandrs Slivkins
One Practical Algorithm for Both Stochastic and Adversarial Bandits. ICML (2014)
Yevgeny Seldin, Peter L. Bartlett, Koby Crammer, Yasin Abbasi-Yadkori
Prediction with Limited Advice and Multiarmed Bandits with Paid Observations. ICML (2014)
Yevgeny Seldin, Bernhard Schölkopf
On the Relations and Differences Between Popper Dimension, Exclusion Dimension and VC-Dimension. Empirical Inference (2013)
Yasin Abbasi-Yadkori, Peter L. Bartlett, Varun Kanade, Yevgeny Seldin, Csaba Szepesvári
Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions. NIPS (2013)
Yevgeny Seldin, Peter L. Bartlett, Koby Crammer
Advice-Efficient Prediction with Expert Advice CoRR (2013)
Ilya O. Tolstikhin, Yevgeny Seldin
PAC-Bayes-Empirical-Bernstein Inequality. NIPS (2013)
Yevgeny Seldin, Koby Crammer, Peter L. Bartlett
Open Problem: Adversarial Multiarmed Bandits with Limited Advice. COLT (2013)
Yevgeny Seldin, Nicolò Cesa-Bianchi, Peter Auer, François Laviolette, John Shawe-Taylor
PAC-Bayes-Bernstein Inequality for Martingales and its Application to Multiarmed Bandits. ICML On-line Trading of Exploration and Exploitation (2012)
Yevgeny Seldin, Csaba Szepesvári, Peter Auer, Yasin Abbasi-Yadkori
Evaluation and Analysis of the Performance of the EXP3 Algorithm in Stochastic Environments. EWRL (2012)
Yevgeny Seldin, François Laviolette, Nicolò Cesa-Bianchi, John Shawe-Taylor, Peter Auer
PAC-Bayesian Inequalities for Martingales. UAI (2012)
Yevgeny Seldin, François Laviolette, Nicolò Cesa-Bianchi, John Shawe-Taylor, Peter Auer
PAC-Bayesian Inequalities for Martingales. IEEE Trans. Inf. Theory 58 (12) (2012)
Yevgeny Seldin, François Laviolette, Nicolò Cesa-Bianchi, John Shawe-Taylor, Peter Auer
PAC-Bayesian Inequalities for Martingales CoRR (2011)
Yevgeny Seldin, Nicolò Cesa-Bianchi, François Laviolette, Peter Auer, John Shawe-Taylor, Jan Peters
PAC-Bayesian Analysis of the Exploration-Exploitation Trade-off CoRR (2011)
Yevgeny Seldin, Peter Auer, François Laviolette, John Shawe-Taylor, Ronald Ortner
PAC-Bayesian Analysis of Contextual Bandits. NIPS (2011)
Yevgeny Seldin, François Laviolette, John Shawe-Taylor, Jan Peters, Peter Auer
PAC-Bayesian Analysis of Martingales and Multiarmed Bandits CoRR (2011)
Yevgeny Seldin, Nicolò Cesa-Bianchi, Peter Auer, François Laviolette, John Shawe-Taylor
PAC-Bayes-Bernstein Inequality for Martingales and its Application to Multiarmed Bandits CoRR (2011)
Yevgeny Seldin
A PAC-Bayesian Analysis of Graph Clustering and Pairwise Clustering CoRR (2010)
Yevgeny Seldin, Naftali Tishby
PAC-Bayesian Analysis of Co-clustering and Beyond. J. Mach. Learn. Res. 11 (2010)
Yevgeny Seldin, Naftali Tishby
PAC-Bayesian Generalization Bound for Density Estimation with Application to Co-clustering. AISTATS (2009)
Yevgeny Seldin, Naftali Tishby
Multi-classification by categorical features via clustering. ICML (2008)
Yevgeny Seldin, Noam Slonim, Naftali Tishby
Information Bottleneck for Non Co-Occurrence Data. NIPS (2006)
Gill Bejerano, Yevgeny Seldin, Hanah Margalit, Naftali Tishby
Markovian domain fingerprinting: statistical segmentation of protein sequences. Bioinform. 17 (10) (2001)
Yevgeny Seldin, Gill Bejerano, Naftali Tishby
Unsupervised Sequence Segmentation by a Mixture of Switching Variable Memory Markov Sources. ICML (2001)