Yevgeny Seldin

发表

PAC-Bayes-Bernstein Inequality for Martingales and its Application to Multiarmed Bandits

John Shawe-Taylor, François Laviolette, Peter Auer, 2011, ICML On-line Trading of Exploration and Exploitation.

Reinforcement Learning with Bounded Information Loss

Jan Peters, Y. Altun, Katharina Muelling, 2011 .

A Lower Bound for Multi-Armed Bandits with Expert Advice

Yevgeny Seldin, 2016 .

Problem : Advice-Efficient Adversarial Multiarmed Bandits with Expert Advice

Yevgeny Seldin, 2013 .

PAC-Bayesian Analysis of Contextual Bandits

John Shawe-Taylor, François Laviolette, Peter Auer, 2011, NIPS.

A PAC-Bayesian Approach to Structure Learning

Yevgeny Seldin, 2009 .

An Improved Parametrization and Analysis of the EXP3++ Algorithm for Stochastic and Adversarial Bandits pdf

Gábor Lugosi, Yevgeny Seldin, G. Lugosi, 2017, COLT.

PAC-Bayesian Analysis of Co-clustering with Extensions to Matrix Tri-factorization , Graph Clustering , Pairwise Clustering , and Graphical Models

Yevgeny Seldin, 2010 .

A PAC-Bayesian Approach to Unsupervised Learning with Application to Co-clustering Analysis

Naftali Tishby, Yevgeny Seldin, Naftali Tishby, 2009 .

Extraction of Protein Domains and Signatures through Unsupervised Statistical Sequence Segmentation

Naftali Tishby, G. Bejerano, Yevgeny Seldin, 2007 .

Unsupervised Sequence Segmentation by a Mixture of Switching Variable Memory Markov Sources

Naftali Tishby, Yevgeny Seldin, Gill Bejerano, 2001, ICML.

PAC-Bayesian Analysis in Unsupervised Learning

Yevgeny Seldin, Yevgeny Seldin, 2010 .

A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs

Dirk van der Hoeven, N. Cesa-Bianchi, Yevgeny Seldin, 2022, NeurIPS.

Split-kl and PAC-Bayes-split-kl Inequalities

Yevgeny Seldin, Yi-shan Wu, 2022, ArXiv.

Unsupervised Segmentation and Classification of Mixtures of Markovian Sources

Naftali Tishby, Yevgeny Seldin, Gill Bejerano, 2001 .

PAC-Bayesian Bounds for Discrete Density Estimation and Co-clustering Analysis

Yevgeny Seldin, 2010 .

On Unsupervised Learning of Mixtures of Markov Sources

Yevgeny Seldin, Yevgeny Seldin, 2001 .

PAC-Bayesian Analysis of Co-clustering and Beyond

Naftali Tishby, Yevgeny Seldin, Naftali Tishby, 2010, J. Mach. Learn. Res..

Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote

C. Igel, Yevgeny Seldin, A. Masegosa, 2021, NeurIPS.

Tsallis-INF: An Optimal Algorithm for Stochastic and Adversarial Bandits pdf

Julian Zimmert, Yevgeny Seldin, Julian Zimmert, 2018, J. Mach. Learn. Res..

A PAC-Bayesian Analysis of Co-clustering, Graph Clustering, and Pairwise Clustering

Yevgeny Seldin, Yevgeny Seldin, 2010, ICML 2010.

Markovian domain fingerprinting: statistical segmentation of protein sequences

Naftali Tishby, Hanah Margalit, Yevgeny Seldin, 2001, Bioinform..

On the Relations and Differences Between Popper Dimension, Exclusion Dimension and VC-Dimension

Bernhard Schölkopf, Yevgeny Seldin, B. Schölkopf, 2013, Empirical Inference.

Evaluation and Analysis of the Performance of the EXP3 Algorithm in Stochastic Environments

Peter Auer, Csaba Szepesvári, Yasin Abbasi-Yadkori, 2013, EWRL.

A Strongly Quasiconvex PAC-Bayesian Bound

Christian Igel, Yevgeny Seldin, Olivier Wintenberger, 2016, ALT.

One Practical Algorithm for Both Stochastic and Adversarial Bandits

Aleksandrs Slivkins, Yevgeny Seldin, Aleksandrs Slivkins, 2014, ICML.

Second Order PAC-Bayesian Bounds for the Weighted Majority Vote pdf

Christian Igel, Yevgeny Seldin, Andr'es R. Masegosa, 2020, NeurIPS.

An Optimal Algorithm for Adversarial Bandits with Arbitrary Delays pdf

Julian Zimmert, Yevgeny Seldin, Julian Zimmert, 2019, AISTATS.

Nonstochastic Multiarmed Bandits with Unrestricted Delays

Nicolò Cesa-Bianchi, Yevgeny Seldin, Tobias Sommer Thune, 2019, NeurIPS.

A Best-of-Both-Worlds Algorithm for Bandits with Delayed Feedback

Julian Zimmert, Yevgeny Seldin, Saeed Masoudian, 2022, NeurIPS.

Prediction with Limited Advice and Multiarmed Bandits with Paid Observations

Koby Crammer, Peter L. Bartlett, Yasin Abbasi-Yadkori, 2014, ICML.

PAC-Bayesian Inequalities for Martingales

John Shawe-Taylor, François Laviolette, Nicolò Cesa-Bianchi, 2011, IEEE Transactions on Information Theory.

PAC-Bayes-Empirical-Bernstein Inequality

Yevgeny Seldin, Ilya O. Tolstikhin, I. Tolstikhin, 2013, NIPS.

PAC-Bayesian Analysis of Martingales and Multiarmed Bandits pdf

John Shawe-Taylor, François Laviolette, Jan Peters, 2011, ArXiv.

A PAC-Bayesian Analysis of Graph Clustering and Pairwise Clustering pdf

Yevgeny Seldin, Yevgeny Seldin, 2010, ArXiv.

Improved Analysis of the Tsallis-INF Algorithm in Stochastically Constrained Adversarial Bandits and Stochastic Bandits with Adversarial Corruptions

Yevgeny Seldin, Saeed Masoudian, Yevgeny Seldin, 2021, COLT.

Open Problem: Adversarial Multiarmed Bandits with Limited Advice

Koby Crammer, Peter L. Bartlett, Yevgeny Seldin, 2013, COLT.

Improved Analysis of Robustness of the Tsallis-INF Algorithm to Adversarial Corruptions in Stochastic Multiarmed Bandits pdf

Yevgeny Seldin, Saeed Masoudian, Yevgeny Seldin, 2021, ArXiv.

PAC-Bayesian Aggregation without Cross-Validation

C. Igel, Yevgeny Seldin, Niklas Thiemann, 2016, ArXiv.

Split-kl and PAC-Bayes-split-kl Inequalities

Yevgeny Seldin, Yi-shan Wu, 2022, NeurIPS.

Exploiting Easiness and Overcoming Delays in Online Learning

Yevgeny Seldin, 2020 .

Adaptation to Easy Data in Prediction with Limited Advice

Yevgeny Seldin, Tobias Sommer Thune, Yevgeny Seldin, 2018, NeurIPS.

Advice-Efficient Prediction with Expert Advice pdf

Koby Crammer, Peter L. Bartlett, Yevgeny Seldin, 2013, ArXiv.

Tsallis-INF for Decoupled Exploration and Exploitation in Multi-armed Bandits

Yevgeny Seldin, Chloé Rouyer, 2020, COLT.

Tsallis-INF: An Optimal Algorithm for Stochastic and Adversarial Bandits

Julian Zimmert, Yevgeny Seldin, 2018, J. Mach. Learn. Res..

Information Bottleneck for Non Co-Occurrence Data

Naftali Tishby, Noam Slonim, Yevgeny Seldin, 2006, NIPS.

Delayed Bandits: When Do Intermediate Observations Help?

Dirk van der Hoeven, Yevgeny Seldin, Emmanuel Esposito, 2023, ICML.