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Yevgeny Seldin
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2020 – today
- 2024
- [i26]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 abs/2405.14681 (2024) - 2023
- [c32]Emmanuel Esposito, Saeed Masoudian, Hao Qiu, Dirk van der Hoeven, Nicolò Cesa-Bianchi, Yevgeny Seldin:
Delayed Bandits: When Do Intermediate Observations Help? ICML 2023: 9374-9395 - [i25]Emmanuel Esposito, Saeed Masoudian, Hao Qiu, Dirk van der Hoeven, Nicolò Cesa-Bianchi, Yevgeny Seldin:
Delayed Bandits: When Do Intermediate Observations Help? CoRR abs/2305.19036 (2023) - [i24]Saeed Masoudian, Julian Zimmert, Yevgeny Seldin:
An Improved Best-of-both-worlds Algorithm for Bandits with Delayed Feedback. CoRR abs/2308.10675 (2023) - 2022
- [c31]Yi-Shan Wu, Yevgeny Seldin:
Split-kl and PAC-Bayes-split-kl Inequalities for Ternary Random Variables. NeurIPS 2022 - [c30]Saeed Masoudian, Julian Zimmert, Yevgeny Seldin:
A Best-of-Both-Worlds Algorithm for Bandits with Delayed Feedback. NeurIPS 2022 - [c29]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 - [i23]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 abs/2206.00557 (2022) - [i22]Yi-Shan Wu, Yevgeny Seldin:
Split-kl and PAC-Bayes-split-kl Inequalities. CoRR abs/2206.00706 (2022) - [i21]Saeed Masoudian, Julian Zimmert, Yevgeny Seldin:
A Best-of-Both-Worlds Algorithm for Bandits with Delayed Feedback. CoRR abs/2206.14906 (2022) - 2021
- [j5]Julian Zimmert, Yevgeny Seldin:
Tsallis-INF: An Optimal Algorithm for Stochastic and Adversarial Bandits. J. Mach. Learn. Res. 22: 28:1-28:49 (2021) - [c28]Saeed Masoudian, Yevgeny Seldin:
Improved Analysis of the Tsallis-INF Algorithm in Stochastically Constrained Adversarial Bandits and Stochastic Bandits with Adversarial Corruptions. COLT 2021: 3330-3350 - [c27]Chloé Rouyer, Yevgeny Seldin, Nicolò Cesa-Bianchi:
An Algorithm for Stochastic and Adversarial Bandits with Switching Costs. ICML 2021: 9127-9135 - [c26]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: 12625-12636 - [i20]Chloé Rouyer, Yevgeny Seldin, Nicolò Cesa-Bianchi:
An Algorithm for Stochastic and Adversarial Bandits with Switching Costs. CoRR abs/2102.09864 (2021) - [i19]Saeed Masoudian, Yevgeny Seldin:
Improved Analysis of Robustness of the Tsallis-INF Algorithm to Adversarial Corruptions in Stochastic Multiarmed Bandits. CoRR abs/2103.12487 (2021) - [i18]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 abs/2106.13624 (2021) - 2020
- [c25]Julian Zimmert, Yevgeny Seldin:
An Optimal Algorithm for Adversarial Bandits with Arbitrary Delays. AISTATS 2020: 3285-3294 - [c24]Chloé Rouyer, Yevgeny Seldin:
Tsallis-INF for Decoupled Exploration and Exploitation in Multi-armed Bandits. COLT 2020: 3227-3249 - [c23]Andrés R. Masegosa, Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin:
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote. NeurIPS 2020 - [i17]Andrés R. Masegosa, Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin:
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote. CoRR abs/2007.13532 (2020)
2010 – 2019
- 2019
- [j4]Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin:
On PAC-Bayesian bounds for random forests. Mach. Learn. 108(8-9): 1503-1522 (2019) - [c22]Julian Zimmert, Yevgeny Seldin:
An Optimal Algorithm for Stochastic and Adversarial Bandits. AISTATS 2019: 467-475 - [c21]Tobias Sommer Thune, Nicolò Cesa-Bianchi, Yevgeny Seldin:
Nonstochastic Multiarmed Bandits with Unrestricted Delays. NeurIPS 2019: 6538-6547 - [i16]Tobias Sommer Thune, Nicolò Cesa-Bianchi, Yevgeny Seldin:
Nonstochastic Multiarmed Bandits with Unrestricted Delays. CoRR abs/1906.00670 (2019) - [i15]Julian Zimmert, Yevgeny Seldin:
An Optimal Algorithm for Adversarial Bandits with Arbitrary Delays. CoRR abs/1910.06054 (2019) - 2018
- [c20]Julian Zimmert, Yevgeny Seldin:
Factored Bandits. NeurIPS 2018: 2840-2849 - [c19]Tobias Sommer Thune, Yevgeny Seldin:
Adaptation to Easy Data in Prediction with Limited Advice. NeurIPS 2018: 2914-2923 - [i14]Tobias Sommer Thune, Yevgeny Seldin:
Adaptation to Easy Data in Prediction with Limited Advice. CoRR abs/1807.00636 (2018) - [i13]Julian Zimmert, Yevgeny Seldin:
Factored Bandits. CoRR abs/1807.01488 (2018) - [i12]Julian Zimmert, Yevgeny Seldin:
An Optimal Algorithm for Stochastic and Adversarial Bandits. CoRR abs/1807.07623 (2018) - [i11]Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin:
On PAC-Bayesian Bounds for Random Forests. CoRR abs/1810.09746 (2018) - 2017
- [c18]Niklas Thiemann, Christian Igel, Olivier Wintenberger, Yevgeny Seldin:
A Strongly Quasiconvex PAC-Bayesian Bound. ALT 2017: 466-492 - [c17]Yevgeny Seldin, Gábor Lugosi:
An Improved Parametrization and Analysis of the EXP3++ Algorithm for Stochastic and Adversarial Bandits. COLT 2017: 1743-1759 - [i10]Yevgeny Seldin, Gábor Lugosi:
An Improved Parametrization and Analysis of the EXP3++ Algorithm for Stochastic and Adversarial Bandits. CoRR abs/1702.06103 (2017) - 2016
- [c16]Brian Brost, Yevgeny Seldin, Ingemar J. Cox, Christina Lioma:
Multi-Dueling Bandits and Their Application to Online Ranker Evaluation. CIKM 2016: 2161-2166 - [c15]Brian Brost, Ingemar J. Cox, Yevgeny Seldin, Christina Lioma:
An Improved Multileaving Algorithm for Online Ranker Evaluation. SIGIR 2016: 745-748 - [i9]Brian Brost, Ingemar J. Cox, Yevgeny Seldin, Christina Lioma:
An Improved Multileaving Algorithm for Online Ranker Evaluation. CoRR abs/1608.00788 (2016) - [i8]Niklas Thiemann, Christian Igel, Yevgeny Seldin:
PAC-Bayesian Aggregation without Cross-Validation. CoRR abs/1608.05610 (2016) - [i7]Brian Brost, Yevgeny Seldin, Ingemar J. Cox, Christina Lioma:
Multi-Dueling Bandits and Their Application to Online Ranker Evaluation. CoRR abs/1608.06253 (2016) - 2014
- [c14]Yevgeny Seldin, Peter L. Bartlett, Koby Crammer, Yasin Abbasi-Yadkori:
Prediction with Limited Advice and Multiarmed Bandits with Paid Observations. ICML 2014: 280-287 - [c13]Yevgeny Seldin, Aleksandrs Slivkins:
One Practical Algorithm for Both Stochastic and Adversarial Bandits. ICML 2014: 1287-1295 - 2013
- [c12]Yevgeny Seldin, Bernhard Schölkopf:
On the Relations and Differences Between Popper Dimension, Exclusion Dimension and VC-Dimension. Empirical Inference 2013: 53-57 - [c11]Yevgeny Seldin, Koby Crammer, Peter L. Bartlett:
Open Problem: Adversarial Multiarmed Bandits with Limited Advice. COLT 2013: 1067-1072 - [c10]Ilya O. Tolstikhin, Yevgeny Seldin:
PAC-Bayes-Empirical-Bernstein Inequality. NIPS 2013: 109-117 - [c9]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: 2508-2516 - [i6]Yevgeny Seldin, Peter L. Bartlett, Koby Crammer:
Advice-Efficient Prediction with Expert Advice. CoRR abs/1304.3708 (2013) - 2012
- [j3]Yevgeny Seldin, François Laviolette, Nicolò Cesa-Bianchi, John Shawe-Taylor, Peter Auer:
PAC-Bayesian Inequalities for Martingales. IEEE Trans. Inf. Theory 58(12): 7086-7093 (2012) - [c8]Yevgeny Seldin, Csaba Szepesvári, Peter Auer, Yasin Abbasi-Yadkori:
Evaluation and Analysis of the Performance of the EXP3 Algorithm in Stochastic Environments. EWRL 2012: 103-116 - [c7]Yevgeny Seldin, François Laviolette, Nicolò Cesa-Bianchi, John Shawe-Taylor, Peter Auer:
PAC-Bayesian Inequalities for Martingales. UAI 2012: 12 - [c6]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: 98-111 - 2011
- [c5]Yevgeny Seldin, Peter Auer, François Laviolette, John Shawe-Taylor, Ronald Ortner:
PAC-Bayesian Analysis of Contextual Bandits. NIPS 2011: 1683-1691 - [i5]Yevgeny Seldin, François Laviolette, John Shawe-Taylor, Jan Peters, Peter Auer:
PAC-Bayesian Analysis of Martingales and Multiarmed Bandits. CoRR abs/1105.2416 (2011) - [i4]Yevgeny Seldin, Nicolò Cesa-Bianchi, François Laviolette, Peter Auer, John Shawe-Taylor, Jan Peters:
PAC-Bayesian Analysis of the Exploration-Exploitation Trade-off. CoRR abs/1105.4585 (2011) - [i3]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 abs/1110.6755 (2011) - [i2]Yevgeny Seldin, François Laviolette, Nicolò Cesa-Bianchi, John Shawe-Taylor, Peter Auer:
PAC-Bayesian Inequalities for Martingales. CoRR abs/1110.6886 (2011) - 2010
- [j2]Yevgeny Seldin, Naftali Tishby:
PAC-Bayesian Analysis of Co-clustering and Beyond. J. Mach. Learn. Res. 11: 3595-3646 (2010) - [i1]Yevgeny Seldin:
A PAC-Bayesian Analysis of Graph Clustering and Pairwise Clustering. CoRR abs/1009.0499 (2010)
2000 – 2009
- 2009
- [b1]Yevgeny Seldin:
A PAC-Bayesian approach to structure learning (עם תקציר בעברית ושער נוסף: גישה PAC-ביסיאנית ללמידת מבנה.; Probably approximately correct learning.). Hebrew University of Jerusalem, Israel, 2009 - [c4]Yevgeny Seldin, Naftali Tishby:
PAC-Bayesian Generalization Bound for Density Estimation with Application to Co-clustering. AISTATS 2009: 472-479 - 2008
- [c3]Yevgeny Seldin, Naftali Tishby:
Multi-classification by categorical features via clustering. ICML 2008: 920-927 - 2006
- [c2]Yevgeny Seldin, Noam Slonim, Naftali Tishby:
Information Bottleneck for Non Co-Occurrence Data. NIPS 2006: 1241-1248 - 2001
- [j1]Gill Bejerano, Yevgeny Seldin, Hanah Margalit, Naftali Tishby:
Markovian domain fingerprinting: statistical segmentation of protein sequences. Bioinform. 17(10): 927-934 (2001) - [c1]Yevgeny Seldin, Gill Bejerano, Naftali Tishby:
Unsupervised Sequence Segmentation by a Mixture of Switching Variable Memory Markov Sources. ICML 2001: 513-520
Coauthor Index
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last updated on 2024-10-07 21:19 CEST by the dblp team
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