Odalric Maillard
11 papers · 2009–2023 · 5 venues · across top CS/AI venues
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Achievements
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Research topics
Machine Learning
(9)
Optimization & Theory
(8)
Mathematics & Optimization
(6)
Core Methods
(4)
Learning Types
(4)
Optimization
(4)
Reinforcement Learning
(3)
Mathematics
(3)
Artificial Intelligence
(2)
Applications Β· Reinforcement Learning
(2)
Methods
(2)
Data Science & Analytics
(1)
Deep Learning
(1)
Applications Β· Data Science & Analytics
(1)
Bayesian & Probabilistic
(1)
Keywords
least squares regression
(2)
function approximation
(2)
reinforcement learning
(2)
random projection
(2)
markov decision process
(2)
excess risk
(2)
concentration inequality
(2)
conditional value at risk
(2)
regret bound
(2)
online learning
(1)
dimension reduction
(1)
markov chain monte carlo
(1)
empirical risk minimization
(1)
temporal difference learning
(1)
dimensionality reduction
(1)
policy iteration
(1)
change detection
(1)
value iteration
(1)
probability distribution
(1)
bayesian inference
(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
Improved Exploration in Factored Average-Reward MDPs
AISTATS 2021
Optimal Thompson Sampling strategies for support-aware CVaR bandits
ICML 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
NeurIPS 2010
Scrambled Objects for Least-Squares Regression
NeurIPS 2010
Compressed Least-Squares Regression
NeurIPS 2009