Yevgeny Seldin
Professor
Machine Learning
Universitetsparken 1
2100 København Ø
PAC-Bayes-Empirical-Bernstein Inequality
Tolstikhin, I. & Seldin, Yevgeny, 2013, Advances in Neural Information Processing Systems (NIPS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote
Wu, Yi-Shan, Masegosa, A. R., Lorenzen, S. S., Igel, Christian & Seldin, Yevgeny, 2021, Advances in Neural Information Processing Systems 34 (NeurIPS). NeurIPS Proceedings, s. 1-12Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Split-kl and PAC-Bayes-split-kl Inequalities for Ternary Random Variables
Wu, Yi-Shan & Seldin, Yevgeny, 2022, Advances in Neural Information Processing Systems 35 (NeurIPS 2022). NeurIPS Proceedings, s. 11369-11381Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Factored Bandits
Zimmert, J. U. & Seldin, Yevgeny, 2018, Proceedings of 32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Montréal, Canada.. NIPS Proceedings, 10 s. (Advances in Neural Information Processing Systems, Bind 31).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Tsallis-INF: An optimal algorithm for stochastic and adversarial bandits
Zimmert, J. U. & Seldin, Yevgeny, 2021, I: Journal of Machine Learning Research. 22, 49 s., 28.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
An Optimal Algorithm for Stochastic and Adversarial Bandits
Zimmert, J. U. & Seldin, Yevgeny, 2019, Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS). Chaudhuri, K. & Sugiyama, M. (red.). PMLR, s. 467-475 (Proceedings of Machine Learning Research, Bind 89).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
An optimal algorithm for adversarial bandits with arbitrary delays
Zimmert, J. U. & Seldin, Yevgeny, 2020, Proceedings of the 23rdInternational Conference on Artificial Intelligence and Statistics (AISTATS) 2020. PMLR, 9 s. (Proceedings of Machine Learning Research, Bind 108).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
ID: 120818606
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Improved Analysis of the Tsallis-INF Algorithm in Stochastically Constrained Adversarial Bandits and Stochastic Bandits with Adversarial Corruptions
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Second Order PAC-Bayesian Bounds for the Weighted Majority Vote
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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28
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Tsallis-INF: An optimal algorithm for stochastic and adversarial bandits
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Udgivet