Seldin, Yevgeny

1. Tsallis-INF: An Optimal Algorithm for Stochastic and Adversarial Bandits
   2018/07/19 by Zimmert, Julian, Seldin, Yevgeny · 12 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. A Strongly Quasiconvex PAC-Bayesian Bound
   2016/08/19 by Thiemann, Niklas, Igel, Christian, Wintenberger, Olivier +1 · 4 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. An Optimal Algorithm for Adversarial Bandits with Arbitrary Delays
   2019/10/14 by Julian Zimmert, Yevgeny Seldin, Zimmert, Julian +1 · 6 citations
   Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques
4. A Best-of-both-worlds Algorithm for Bandits with Delayed Feedback with Robustness to Excessive Delays
   2023/08/21 by Masoudian, Saeed, Zimmert, Julian, Seldin, Yevgeny · 3 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. PAC-Bayes-Bernstein Inequality for Martingales and its Application to Multiarmed Bandits
   2011/10/31 by Seldin, Yevgeny, Cesa-Bianchi, Nicolò, Auer, Peter +2 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
6. Nonstochastic Multiarmed Bandits with Unrestricted Delays
   2019/06/03 by Thune, Tobias Sommer, Cesa-Bianchi, Nicolò, Seldin, Yevgeny · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
7. Second Order PAC-Bayesian Bounds for the Weighted Majority Vote
   2020/07/01 by Andrés R. Masegosa, Stephan Sloth Lorenzen, Masegosa, Andrés R. +5 · 1 citation
   Computer Science · #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
8. Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote
   2021/06/25 by Yi-Shan Wu, Andrés R. Masegosa, Wu, Yi-Shan +7 · 1 citation
   Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques
9. A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs
   2022/06/01 by Rouyer, Chloé, van der Hoeven, Dirk, Cesa-Bianchi, Nicolò +1 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
10. Split-kl and PAC-Bayes-split-kl Inequalities for Ternary Random Variables
    2022/06/01 by Yi-Shan Wu, Yevgeny Seldin, Wu, Yi-Shan +1 · 1 citation
    Computer Science · Decision Sciences · #Machine Learning and Algorithms #Advanced Bandit Algorithms Research #Topic Modeling
11. A Best-of-Both-Worlds Algorithm for Bandits with Delayed Feedback
    2022/06/29 by Masoudian, Saeed, Zimmert, Julian, Seldin, Yevgeny · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
12. Machine Learning. The Science of Selection under Uncertainty
    2025/09/25 by Yevgeny Seldin, Seldin, Yevgeny · 1 voice · 1 citation
    Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.LG #stat.ML
13. Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss
    2024/05/23 by Wu, Yi-Shan, Zhang, Yijie, Chérief-Abdellatif, Badr-Eddine +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)