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Adaptive Regret Bounds for Non-Stochastic Bandits
Gergely Neu
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Gergely Neu (INRIA)
More from the Same Authors
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2022 Poster: Lifting the Information Ratio: An Information-Theoretic Analysis of Thompson Sampling for Contextual Bandits »
Gergely Neu · Iuliia Olkhovskaia · Matteo Papini · Ludovic Schwartz -
2022 Poster: Proximal Point Imitation Learning »
Luca Viano · Angeliki Kamoutsi · Gergely Neu · Igor Krawczuk · Volkan Cevher -
2021 Poster: Online learning in MDPs with linear function approximation and bandit feedback. »
Gergely Neu · Iuliia Olkhovskaia -
2020 Poster: A Unifying View of Optimism in Episodic Reinforcement Learning »
Gergely Neu · Ciara Pike-Burke -
2019 : Poster and Coffee Break 1 »
Aaron Sidford · Aditya Mahajan · Alejandro Ribeiro · Alex Lewandowski · Ali H Sayed · Ambuj Tewari · Angelika Steger · Anima Anandkumar · Asier Mujika · Hilbert J Kappen · Bolei Zhou · Byron Boots · Chelsea Finn · Chen-Yu Wei · Chi Jin · Ching-An Cheng · Christina Yu · Clement Gehring · Craig Boutilier · Dahua Lin · Daniel McNamee · Daniel Russo · David Brandfonbrener · Denny Zhou · Devesh Jha · Diego Romeres · Doina Precup · Dominik Thalmeier · Eduard Gorbunov · Elad Hazan · Elena Smirnova · Elvis Dohmatob · Emma Brunskill · Enrique Munoz de Cote · Ethan Waldie · Florian Meier · Florian Schaefer · Ge Liu · Gergely Neu · Haim Kaplan · Hao Sun · Hengshuai Yao · Jalaj Bhandari · James A Preiss · Jayakumar Subramanian · Jiajin Li · Jieping Ye · Jimmy Smith · Joan Bas Serrano · Joan Bruna · John Langford · Jonathan Lee · Jose A. Arjona-Medina · Kaiqing Zhang · Karan Singh · Yuping Luo · Zafarali Ahmed · Zaiwei Chen · Zhaoran Wang · Zhizhong Li · Zhuoran Yang · Ziping Xu · Ziyang Tang · Yi Mao · David Brandfonbrener · Shirli Di-Castro · Riashat Islam · Zuyue Fu · Abhishek Naik · Saurabh Kumar · Benjamin Petit · Angeliki Kamoutsi · Simone Totaro · Arvind Raghunathan · Rui Wu · Donghwan Lee · Dongsheng Ding · Alec Koppel · Hao Sun · Christian Tjandraatmadja · Mahdi Karami · Jincheng Mei · Chenjun Xiao · Junfeng Wen · Zichen Zhang · Ross Goroshin · Mohammad Pezeshki · Jiaqi Zhai · Philip Amortila · Shuo Huang · Mariya Vasileva · El houcine Bergou · Adel Ahmadyan · Haoran Sun · Sheng Zhang · Lukas Gruber · Yuanhao Wang · Tetiana Parshakova -
2019 Poster: Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates »
Carlos Riquelme · Hugo Penedones · Damien Vincent · Hartmut Maennel · Sylvain Gelly · Timothy A Mann · Andre Barreto · Gergely Neu -
2019 Poster: Beating SGD Saturation with Tail-Averaging and Minibatching »
Nicole Muecke · Gergely Neu · Lorenzo Rosasco -
2017 Poster: Boltzmann Exploration Done Right »
Nicolò Cesa-Bianchi · Claudio Gentile · Gergely Neu · Gabor Lugosi -
2015 : Discussion Panel »
Tim van Erven · Wouter Koolen · Peter Grünwald · Shai Ben-David · Dylan Foster · Satyen Kale · Gergely Neu -
2015 Poster: Explore no more: Improved high-probability regret bounds for non-stochastic bandits »
Gergely Neu -
2014 Poster: Exploiting easy data in online optimization »
Amir Sani · Gergely Neu · Alessandro Lazaric -
2014 Poster: Efficient learning by implicit exploration in bandit problems with side observations »
Tomáš Kocák · Gergely Neu · Michal Valko · Remi Munos -
2014 Spotlight: Exploiting easy data in online optimization »
Amir Sani · Gergely Neu · Alessandro Lazaric -
2014 Poster: Online combinatorial optimization with stochastic decision sets and adversarial losses »
Gergely Neu · Michal Valko -
2013 Poster: Online learning in episodic Markovian decision processes by relative entropy policy search »
Alexander Zimin · Gergely Neu -
2010 Spotlight: Online Markov Decision Processes under Bandit Feedback »
Gergely Neu · András György · András Antos · Csaba Szepesvari -
2010 Poster: Online Markov Decision Processes under Bandit Feedback »
Gergely Neu · András György · Csaba Szepesvari · András Antos