Sébastien Bubeck
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Sébastien Bubeck is a person.
References
2023
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- Sébastien Bubeck is a French mathematician and researcher known for his work in the fields of probability theory, statistics, and machine learning, particularly in the area of bandit problems and online learning. He is a researcher at Microsoft Research, where he focuses on theoretical aspects of machine learning, optimization, and game theory.
Bubeck has made significant contributions to the understanding of the mathematical foundations of machine learning algorithms, including the development of new algorithms and the analysis of existing ones. Some of his work includes research on multi-armed bandits, regret minimization, and convex optimization.
- Sébastien Bubeck is a French mathematician and researcher known for his work in the fields of probability theory, statistics, and machine learning, particularly in the area of bandit problems and online learning. He is a researcher at Microsoft Research, where he focuses on theoretical aspects of machine learning, optimization, and game theory.
2018
- (Jin et al., 2018) ⇒ Chi Jin, Zeyuan Allen-Zhu, Sébastien Bubeck, and Michael I. Jordan. (2018). “Is Q-learning Provably Efficient?. ” Advances in Neural Information Processing Systems 31
2012
- (Sébastien & Bianchi, 2012) ⇒ Sébastien Bubeck, and Nicolo Cesa-Bianchi. (2012). “Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems.” Foundations and Trends ® in Machine Learning 5, no. 1