Pierre Perrault
10 papers · 2019–2024 · 5 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (23) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🔥 Unstoppable · Bronze
💎
Century Club · Bronze
🗃️
Keyword Collector
(52)
Top co-authors
Research topics
Machine Learning
(9)
Learning Types
(8)
Optimization & Theory
(8)
Mathematics & Optimization
(7)
Optimization
(7)
Artificial Intelligence
(2)
Reinforcement Learning
(2)
Methods
(2)
Data Science & Analytics
(1)
Application Areas
(1)
Applications
(1)
Bayesian & Probabilistic
(1)
Core AI
(1)
Core Methods
(1)
Keywords
regret bound
(5)
multi-armed bandit
(3)
stochastic optimization
(2)
combinatorial semi-bandit
(2)
online learning
(2)
online algorithm
(2)
combinatorial multi-armed bandit
(2)
semi-bandit feedback
(2)
sample complexity
(2)
thompson sampling
(2)
regret minimization
(1)
behavior cloning
(1)
posterior sampling
(1)
covariance matrix
(1)
reinforcement learning
(1)
covariance estimation
(1)
submodular maximization
(1)
regret analysis
(1)
linear regression
(1)
optimal transport
(1)
Papers
Demonstration-Regularized RL
ICLR 2024
Fast Rates for Maximum Entropy Exploration
ICML 2023
Model-free Posterior Sampling via Learning Rate Randomization
NeurIPS 2023
When Combinatorial Thompson Sampling meets Approximation Regret
NeurIPS 2022
Online A-Optimal Design and Active Linear Regression
ICML 2021
Budgeted Online Influence Maximization
ICML 2020
Covariance-adapting algorithm for semi-bandits with application to sparse outcomes
COLT 2020
Statistical Efficiency of Thompson Sampling for Combinatorial Semi-Bandits
NeurIPS 2020
Exploiting structure of uncertainty for efficient matroid semi-bandits
ICML 2019
Finding the bandit in a graph: Sequential search-and-stop
AISTATS 2019