Yevgeny Seldin
Professor
Machine Learning
Universitetsparken 1
2100 København Ø
Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions
Abbasi-Yadkori, Y., Bartlett, P. L., Kanade, V., Seldin, Yevgeny & Szepesvári, C., 2013, Advances in Neural Information Processing Systems (NIPS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Markovian domain fingerprinting: statistical segmentation of protein sequences
Bejerano, G., Seldin, Yevgeny, Tishby, N. & Margalit, H., 2001, I: Bioinformatics.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
An improved multileaving algorithm for online ranker evaluation
Brost, B., Cox, Ingemar Johansson, Seldin, Yevgeny & Lioma, Christina, 2016, Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval: SIGIR '16. Association for Computing Machinery, s. 745-748 4 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Multi-dueling bandits and their application to online ranker evaluation
Brost, B., Seldin, Yevgeny, Cox, Ingemar Johansson & Lioma, Christina, 2016, Proceedings of the 25th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, s. 2161-2166 6 s. (ACM International Conference on Information and Knowledge Management).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Delayed Bandits: When Do Intermediate Observations Help?
Esposito, E., Masoudian, S., Qiu, H., van der Hoeven, D., Cesa-Bianchi, N. & Seldin, Yevgeny, 2023, Proceedings of the 40 th International Conference on Machine Learnin. PMLR, s. 9374-9395 22 s. (Proceedings of Machine Learning Research, Bind 202).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
On PAC-Bayesian bounds for random forests
Lorenzen, S. S., Igel, Christian & Seldin, Yevgeny, 2019, I: Machine Learning. 108, 8-9, s. 1503-1522Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote
Masegosa, A. R., Lorenzen, S. S., Igel, Christian & Seldin, Yevgeny, 2020, Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual. NeurIPS Proceedings, (Advances in Neural Information Processing Systems, Bind 33).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Improved Analysis of the Tsallis-INF Algorithm in Stochastically Constrained Adversarial Bandits and Stochastic Bandits with Adversarial Corruptions
Masoudian, S. & Seldin, Yevgeny, jul. 2021, Conference on Learning Theory (COLT 2021). PMLR, s. 3330-3350 (Proceedings of Machine Learning Research, Bind 134).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
A Best-of-Both-Worlds Algorithm for Bandits with Delayed Feedback
Masoudian, S., Zimmert, J. & Seldin, Yevgeny, 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (red.). NeurIPS Proceedings, 26 s. (Advances in Neural Information Processing Systems, Bind 35).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs
Rouyer, C., van der Hoeven, D., Cesa-Bianchi, N. & Seldin, Yevgeny, 2022, Advances in Neural Information Processing Systems 35 (NeurIPS 2022). NeurIPS Proceedings, s. 35035-35048Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Tsallis-INF for decoupled exploration and exploitation in multi-armed bandits
Rouyer, C. & Seldin, Yevgeny, 2020, Proceedings of Thirty Third Conference on Learning Theory(COLT). PMLR, s. 3227-3249 (Proceedings of Machine Learning Research, Bind 125).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
An algorithm for stochastic and adversarial bandits with switching costs
Rouyer, C., Seldin, Yevgeny & Cesa-Bianchi, N., 2021, Proceedings of the 38th International Conference on Machine Learning (ICML). PMLR, s. 9127-9135 (Proceedings of Machine Learning Research, Bind 139).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
PAC-Bayesian generalization bound for density estimation with application to co-clustering
Seldin, Yevgeny & Tishby, N., 2009, JMLR Workshop and Conference Proceedings, 5 (AISTATS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
PAC-Bayesian inequalities for martingales
Seldin, Yevgeny, Laviolette, F., Cesa-Bianchi, N., Shawe-Taylor, J. & Auer, P., 2012, I: I E E E Transactions on Information Theory. 58, 12Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Open problem: Adversarial multiarmed bandits with limited advice
Seldin, Yevgeny, Crammer, K. & Bartlett, P. L., 2013, JMLR Workshop and Conference Proceedings, 30 (COLT).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Evaluation and analysis of the performance of the EXP3 algorithm in stochastic environments
Seldin, Yevgeny, Szepesvári, C., Auer, P. & Abbasi-Yadkori, Y., 2013, JMLR Workshop and Conference Proceedings, 24 (EWRL).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Information bottleneck for non co-occurrence data
Seldin, Yevgeny, Slonim, N. & Tishby, N., 2007, Advances in Neural Information Processing Systems (NIPS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
PAC-Bayesian analysis of contextual bandits
Seldin, Yevgeny, Auer, P., Laviolette, F., Shawe-Taylor, J. & Ortner, R., 2011, Advances in Neural Information Processing Systems (NIPS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
PAC-Bayesian analysis of co-clustering and beyond
Seldin, Yevgeny & Tishby, N., 2010, I: Journal of Machine Learning Research. 11, s. 3595-3646 52 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
PAC-Bayes-Bernstein inequality for martingales and its application to multiarmed bandits
Seldin, Yevgeny, Cesa-Bianchi, N., Auer, P., Laviolette, F. & Shawe-Taylor, J., 2012, JMLR Workshop and Conference Proceedings, 26.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
One practical algorithm for both stochastic and adversarial bandits
Seldin, Yevgeny & Slivkins, A., 2014, JMLR Workshop and Conference Proceedings, 32 (ICML).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Unsupervised sequence segmentation by a mixture of variable memory length Markov sources
Seldin, Yevgeny, Bejerano, G. & Tishby, N., 2001, Proceedings of the 18th International Conference on Machine Learning (ICML).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Multi-classification by categorical features via clustering
Seldin, Yevgeny & Tishby, N., 2008, Proceedings of the 25th International Conference on Machine Learning (ICML).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Unsupervised segmentation and classification of mixtures of Markovian sources
Seldin, Yevgeny, Starik, S. & Werman, M., 2003.Publikation: Konferencebidrag › Paper › Forskning › fagfællebedømt
On the Relations and Differences between Popper Dimension, Exclusion Dimension and VC-Dimension
Seldin, Yevgeny & Schölkopf, B., 2013, Festschrift in Honor of Vladimir N. Vapnik. SpringerPublikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt
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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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Tsallis-INF: An optimal algorithm for stochastic and adversarial bandits
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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