ProfessorsProfessors of École Normale Supérieure de LyonTomáš Kocák

Tomáš Kocák

École Normale Supérieure de Lyon

H-index: 7

Europe-France

About Tomáš Kocák

Tomáš Kocák, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at École Normale Supérieure de Lyon, specializes in the field of Machine learning, online learning, bandit theory, sequential learning with similarities.

His recent articles reflect a diverse array of research interests and contributions to the field:

Online learning with feedback graphs: The true shape of regret

On the Complexity of All -Best Arms Identification

A non-asymptotic approach to best-arm identification for gaussian bandits

Epsilon Best Arm Identification in Spectral Bandits

Best arm identification in spectral bandits

Spectral bandits

Tomáš Kocák Information

University	École Normale Supérieure de Lyon
Position	___
Citations(all)	377
Citations(since 2020)	256
Cited By	233
hIndex(all)	7
hIndex(since 2020)	7
i10Index(all)	7
i10Index(since 2020)	7
Email	Access Email
University Profile Page	École Normale Supérieure de Lyon
Google Scholar	View Google Scholar Profile

Tomáš Kocák Skills & Research Interests

Machine learning

online learning

bandit theory

sequential learning with similarities

Top articles of Tomáš Kocák

Title	Journal	Author(s)	Publication Date
Online learning with feedback graphs: The true shape of regret		Tomáš Kocák Alexandra Carpentier	2023/7/3
On the Complexity of All -Best Arms Identification		Aymen Al Marjani Tomas Kocak Aurélien Garivier	2022/9/19
A non-asymptotic approach to best-arm identification for gaussian bandits		Antoine Barrier Aurélien Garivier Tomáš Kocák	2022/5/3
Epsilon Best Arm Identification in Spectral Bandits		Tomáš Kocák Aurélien Garivier	2021/8/19
Best arm identification in spectral bandits	arXiv preprint arXiv:2005.09841	Tomáš Kocák Aurélien Garivier	2020/5/20
Spectral bandits	Journal of Machine Learning Research	Tomáš Kocák Rémi Munos Branislav Kveton Shipra Agrawal Michal Valko	2020