Carpentier, Alexandra

35 publications

ALT 2025 Clustering with Bandit Feedback: Breaking Down the Computation/information Gap Victor Thuot, Alexandra Carpentier, Christophe Giraud, Nicolas Verzelen

NeurIPS 2024 On Weak Regret Analysis for Dueling Bandits El Mehdi Saad, Alexandra Carpentier, Tomáš Kocák, Nicolas Verzelen

ICML 2023 Active Ranking of Experts Based on Their Performances in Many Tasks El Mehdi Saad, Nicolas Verzelen, Alexandra Carpentier

ICML 2023 Online Learning with Feedback Graphs: The True Shape of Regret Tomáš Kocák, Alexandra Carpentier

NeurIPS 2022 The Price of Unfairness in Linear Bandits with Biased Feedback Solenne Gaucher, Alexandra Carpentier, Christophe Giraud

NeurIPS 2021 Bandits with Many Optimal Arms Rianne de Heide, James Cheshire, Pierre Ménard, Alexandra Carpentier

ICML 2021 Problem Dependent View on Structured Thresholding Bandit Problems James Cheshire, Pierre Menard, Alexandra Carpentier

ICML 2020 Linear Bandits with Stochastic Delayed Feedback Claire Vernade, Alexandra Carpentier, Tor Lattimore, Giovanni Zappella, Beyza Ermis, Michael Brückner

ICML 2020 Stochastic Bandits with Arm-Dependent Delays Manegueu Anne Gael, Claire Vernade, Alexandra Carpentier, Michal Valko

COLT 2020 The Influence of Shape Constraints on the Thresholding Bandit Problem James Cheshire, Pierre Menard, Alexandra Carpentier

ALT 2019 A Minimax Near-Optimal Algorithm for Adaptive Rejection Sampling Juliette Achddou, Joseph Lam-Weil, Alexandra Carpentier, Gilles Blanchard

AISTATS 2019 Active Multiple Matrix Completion with Adaptive Confidence Sets Andrea Locatelli, Alexandra Carpentier, Michal Valko

AISTATS 2019 Rotting Bandits Are No Harder than Stochastic Ones Julien Seznec, Andrea Locatelli, Alexandra Carpentier, Alessandro Lazaric, Michal Valko

COLT 2018 Adaptivity to Smoothness in X-Armed Bandits Andrea Locatelli, Alexandra Carpentier

ALT 2018 An Adaptive Strategy for Active Learning with Smooth Decision Boundary Andrea Locatelli, Alexandra Carpentier, Samory Kpotufe

COLT 2017 Two-Sample Tests for Large Random Graphs Using Network Statistics Debarghya Ghoshdastidar, Maurilio Gutzeit, Alexandra Carpentier, Ulrike Luxburg

ICML 2016 An Optimal Algorithm for the Thresholding Bandit Problem Andrea Locatelli, Maurilio Gutzeit, Alexandra Carpentier

AISTATS 2016 Learning Relationships Between Data Obtained Independently Alexandra Carpentier, Teresa Schlueter

ICML 2016 Pliable Rejection Sampling Akram Erraqabi, Michal Valko, Alexandra Carpentier, Odalric Maillard

AISTATS 2016 Revealing Graph Bandits for Maximizing Local Influence Alexandra Carpentier, Michal Valko

COLT 2016 Tight (Lower) Bounds for the Fixed Budget Best Arm Identification Bandit Problem Alexandra Carpentier, Andrea Locatelli

JMLR 2015 Adaptive Strategy for Stratified Monte Carlo Sampling Alexandra Carpentier, Remi Munos, András Antos

AISTATS 2015 Implementable Confidence Sets in High Dimensional Regression Alexandra Carpentier

ICML 2015 Simple Regret for Infinitely Many Armed Bandits Alexandra Carpentier, Michal Valko

NeurIPS 2014 Extreme Bandits Alexandra Carpentier, Michal Valko

ICML 2013 Stochastic Simultaneous Optimistic Optimization Michal Valko, Alexandra Carpentier, Rémi Munos

ICML 2013 Toward Optimal Stratification for Stratified Monte-Carlo Integration Alexandra Carpentier, Rémi Munos

NeurIPS 2012 Adaptive Stratified Sampling for Monte-Carlo Integration of Differentiable Functions Alexandra Carpentier, Rémi Munos

NeurIPS 2012 Bandit Algorithms Boost Brain Computer Interfaces for Motor-Task Selection of a Brain-Controlled Button Joan Fruitet, Alexandra Carpentier, Maureen Clerc, Rémi Munos

AISTATS 2012 Bandit Theory Meets Compressed Sensing for High Dimensional Stochastic Linear Bandit Alexandra Carpentier, Remi Munos

ALT 2012 Minimax Number of Strata for Online Stratified Sampling Given Noisy Samples Alexandra Carpentier, Rémi Munos

NeurIPS 2012 Online Allocation and Homogeneous Partitioning for Piecewise Constant Mean-Approximation Alexandra Carpentier, Odalric-ambrym Maillard

NeurIPS 2011 Finite Time Analysis of Stratified Sampling for Monte Carlo Alexandra Carpentier, Rémi Munos

NeurIPS 2011 Sparse Recovery with Brownian Sensing Alexandra Carpentier, Odalric-ambrym Maillard, Rémi Munos

ALT 2011 Upper-Confidence-Bound Algorithms for Active Learning in Multi-Armed Bandits Alexandra Carpentier, Alessandro Lazaric, Mohammad Ghavamzadeh, Rémi Munos, Peter Auer