Research output per year
Research output per year
Personal profile
Short presentation
I am working in the area of Machine Learning with primary focus on Machine Learning Theory, and in particular Online Learning and PAC-Bayesian analysis. For more information, please, check https://sites.google.com/site/yevgenyseldin/
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Delayed Bandits: When Do Intermediate Observations Help?
Esposito, E., Masoudian, S., Qiu, H., van der Hoeven, D., Cesa-Bianchi, N. & Seldin, Y., 2023, Proceedings of the 40 th International Conference on Machine Learnin. PMLR, p. 9374-9395 22 p. (Proceedings of Machine Learning Research, Vol. 202).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile12 Downloads (Pure) -
A Best-of-Both-Worlds Algorithm for Bandits with Delayed Feedback
Masoudian, S., Zimmert, J. & Seldin, Y., 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. (eds.). NeurIPS Proceedings, 26 p. (Advances in Neural Information Processing Systems, Vol. 35).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile7 Citations (Scopus)7 Downloads (Pure) -
A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs
Rouyer, C., van der Hoeven, D., Cesa-Bianchi, N. & Seldin, Y., 2022, Advances in Neural Information Processing Systems 35 (NeurIPS 2022). NeurIPS Proceedings, p. 35035-35048Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
File3 Downloads (Pure) -
Split-kl and PAC-Bayes-split-kl Inequalities for Ternary Random Variables
Wu, Y-S. & Seldin, Y., 2022, Advances in Neural Information Processing Systems 35 (NeurIPS 2022). NeurIPS Proceedings, p. 11369-11381Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile5 Downloads (Pure) -
An algorithm for stochastic and adversarial bandits with switching costs
Rouyer, C., Seldin, Y. & Cesa-Bianchi, N., 2021, Proceedings of the 38th International Conference on Machine Learning (ICML). PMLR, p. 9127-9135 (Proceedings of Machine Learning Research, Vol. 139).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile25 Downloads (Pure) -
Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote
Wu, Y. S., Masegosa, A. R., Lorenzen, S. S., Igel, C. & Seldin, Y., 2021, Advances in Neural Information Processing Systems 34 (NeurIPS). NeurIPS Proceedings, p. 1-12Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open Access -
Improved Analysis of the Tsallis-INF Algorithm in Stochastically Constrained Adversarial Bandits and Stochastic Bandits with Adversarial Corruptions
Masoudian, S. & Seldin, Y., Jul 2021, Conference on Learning Theory (COLT 2021). PMLR, p. 3330-3350 (Proceedings of Machine Learning Research, Vol. 134).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile7 Citations (Scopus)84 Downloads (Pure) -
Tsallis-INF: An optimal algorithm for stochastic and adversarial bandits
Zimmert, J. U. & Seldin, Y., 2021, In: Journal of Machine Learning Research. 22, 49 p., 28.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile55 Citations (Scopus)37 Downloads (Pure)