Dorian Baudry
12 papers · 2020–2024 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+3 more ↓ Show less ↑
🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (21) 🌍 Conference Polyglot · Bronze 🏆 Keyword Champion (2) 🗃️ Keyword Collector (54)
🔥
Unstoppable · Bronze
⚡
Prolific Year · Productive
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Mathematics & Optimization
(11)
Optimization
(11)
Machine Learning
(9)
Optimization & Theory
(7)
Learning Types · Machine Learning
(5)
Artificial Intelligence
(1)
Deep Learning
(1)
Reinforcement Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Mathematics
(1)
Methods
(1)
Keywords
regret bound
(4)
multi-armed bandit
(4)
asymptotic optimality
(2)
thompson sampling
(2)
multi-arm bandit
(2)
online learning
(2)
online algorithm
(2)
regret minimization
(1)
reward prediction
(1)
sample complexity
(1)
sequential decision
(1)
stochastic process
(1)
bandit feedback
(1)
best arm identification
(1)
exponential family
(1)
subsampling methods
(1)
extreme bandits
(1)
constraint satisfaction
(1)
optimal regret
(1)
kullback-leibler divergence
(1)
Papers
Improved learning rates in multi-unit uniform price auctions
NeurIPS 2024
Lookback Prophet Inequalities
NeurIPS 2024
Multi-armed bandits with guaranteed revenue per arm
AISTATS 2024
Optimizing the coalition gain in Online Auctions with Greedy Structured Bandits
NeurIPS 2024
The Value of Reward Lookahead in Reinforcement Learning
NeurIPS 2024
Fast Asymptotically Optimal Algorithms for Non-Parametric Stochastic Bandits
NeurIPS 2023
Efficient Algorithms for Extreme Bandits
AISTATS 2022
Top Two Algorithms Revisited
NeurIPS 2022
From Optimality to Robustness: Adaptive Re-Sampling Strategies in Stochastic Bandits
NeurIPS 2021
On Limited-Memory Subsampling Strategies for Bandits
ICML 2021
Optimal Thompson Sampling strategies for support-aware CVaR bandits
ICML 2021
Sub-sampling for Efficient Non-Parametric Bandit Exploration
NeurIPS 2020