Aurélien Garivier
29 papers · 2010–2024 · 8 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 11 separate collaboration groups - the largest holds only 45% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Aurélien Garivier?
3 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Olivier Cappe, Emilie Kaufmann, Wouter M. Koolen
13 papers
· 2010–2021
· NeurIPS, COLT, AISTATS
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A/B/n Testing with Control in the Presence of Subpopulations
NeurIPS 2021
Efficient Algorithms for Stochastic Repeated Second-price Auctions
ALT 2021
Fast Rate Learning in Stochastic First Price Bidding
ACML 2021
Self-Concordant Analysis of Generalized Linear Bandits with Forgetting
AISTATS 2021
Sequential Test for the Lowest Mean: From Thompson to Murphy Sampling
NeurIPS 2018
Maximin Action Identification: A New Bandit Framework for Games
COLT 2016
On Explore-Then-Commit strategies
NeurIPS 2016
On the Complexity of Best-Arm Identification in Multi-Armed Bandit Models
JMLR 2016
Optimal Best Arm Identification with Fixed Confidence
COLT 2016
On the Complexity of A/B Testing
COLT 2014
On Bayesian Upper Confidence Bounds for Bandit Problems
AISTATS 2012
The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond
COLT 2011
Parametric Bandits: The Generalized Linear Case
NeurIPS 2010
8 papers whose co-authors appear nowhere else under this name
Sequential learning of the Pareto front for multi-objective bandits
AISTATS 2024
Beyond Average Return in Markov Decision Processes
NeurIPS 2023
Private Statistical Estimation of Many Quantiles
ICML 2023
Navigating to the Best Policy in Markov Decision Processes
NeurIPS 2021
X-Armed Bandits: Optimizing Quantiles, CVaR and Other Risks
ACML 2019
Algorithmic Learning Theory 2019: Preface
ALT 2019
Profitable Bandits
ACML 2018
Optimal Discovery with Probabilistic Expert Advice: Finite Time Analysis and Macroscopic Optimality
JMLR 2013