Odalric Maillard
11 papers · 2009–2023 · 5 conferences · across top CS/AI conferences
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(5)
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Century Club
(11)
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(60)
Conferences
ICML (4)
NIPS (3)
AISTATS (2)
AAAI (1)
COLT (1)
Top co-authors
Research topics
Keywords
reinforcement learning
(2)
regret bound
(2)
least-squares regression
(2)
markov decision process
(2)
random projection
(2)
function approximation
(2)
convex optimization
(1)
online learning
(1)
compressed sensing
(1)
markov chain monte carlo
(1)
dimension reduction
(1)
empirical risk minimization
(1)
exponential family
(1)
regret minimization
(1)
temporal difference learning
(1)
policy iteration
(1)
value iteration
(1)
change detection
(1)
probability distribution
(1)
bregman divergence
(1)
Papers
Bilinear Exponential Family of MDPs: Frequentist Regret Bound with Tractable Exploration & Planning
AAAI 2023
Bregman Deviations of Generic Exponential Families
COLT 2023
Risk-aware linear bandits with convex loss
AISTATS 2023
Optimal Thompson Sampling strategies for support-aware CVaR bandits
ICML 2021
Improved Exploration in Factored Average-Reward MDPs
AISTATS 2021
Restarted Bayesian Online Change-point Detector achieves Optimal Detection Delay
ICML 2020
Tightening Exploration in Upper Confidence Reinforcement Learning
ICML 2020
Pliable Rejection Sampling
ICML 2016
LSTD with Random Projections
NIPS 2010
Scrambled Objects for Least-Squares Regression
NIPS 2010
Compressed Least-Squares Regression
NIPS 2009