Alexandra Carpentier

65 papers A* 17A 6B 5Journal 29Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Low-degree Lower bounds for clustering in moderate dimension. CoRR Alexandra Carpentier, Nicolas Verzelen
2025	B	`conf`	Clustering with bandit feedback: breaking down the computation/information gap. ALT Victor Thuot, Alexandra Carpentier, Christophe Giraud, Nicolas Verzelen
2025	J	`jnl`	Low-degree lower bounds via almost orthonormal bases. CoRR Alexandra Carpentier, Simone Maria Giancola, Christophe Giraud, Nicolas Verzelen
2025	J	`jnl`	Phase Transition for Stochastic Block Model with more than √n Communities (II). CoRR Alexandra Carpentier, Christophe Giraud, Nicolas Verzelen
2025	J	`jnl`	Phase Transition for Stochastic Block Model with more than √n Communities. CoRR Alexandra Carpentier, Christophe Giraud, Nicolas Verzelen
2024	J	`jnl`	A simple and improved algorithm for noisy, convex, zeroth-order optimisation. CoRR Alexandra Carpentier
2024	J	`jnl`	Active clustering with bandit feedback. CoRR Victor Thuot, Alexandra Carpentier, Christophe Giraud, Nicolas Verzelen
2024	A*	`conf`	On Weak Regret Analysis for Dueling Bandits. NeurIPS El Mehdi Saad, Alexandra Carpentier, Tomás Kocák, Nicolas Verzelen
2024	J	`jnl`	Optimal level set estimation for non-parametric tournament and crowdsourcing problems. CoRR Maximilian Graf, Alexandra Carpentier, Nicolas Verzelen
2024	A*	`conf`	Optimal rates for ranking a permuted isotonic matrix in polynomial time. SODA Emmanuel Pilliat, Alexandra Carpentier, Nicolas Verzelen
2023	A*	`conf`	Active Ranking of Experts Based on their Performances in Many Tasks. ICML El Mehdi Saad, Nicolas Verzelen, Alexandra Carpentier
2023	J	`jnl`	Active Ranking of Experts Based on their Performances in Many Tasks. CoRR El Mehdi Saad, Nicolas Verzelen, Alexandra Carpentier
2023	A*	`conf`	Online Learning with Feedback Graphs: The True Shape of Regret. ICML Tomás Kocák, Alexandra Carpentier
2023	J	`jnl`	Online Learning with Feedback Graphs: The True Shape of Regret. CoRR Tomás Kocák, Alexandra Carpentier
2022	A*	`conf`	The price of unfairness in linear bandits with biased feedback. NeurIPS Solenne Gaucher, Alexandra Carpentier, Christophe Giraud
2021	A*	`conf`	Bandits with many optimal arms. NeurIPS Rianne de Heide, James Cheshire, Pierre Ménard, Alexandra Carpentier
2021	J	`jnl`	Bandits with many optimal arms. CoRR Rianne de Heide, James Cheshire, Pierre Ménard, Alexandra Carpentier
2021	J	`jnl`	Generalized non-stationary bandits. CoRR Anne Gael Manegueu, Alexandra Carpentier, Yi Yu
2021	J	`jnl`	Goodness-of-Fit Testing for Hölder-Continuous Densities: Sharp Local Minimax Rates. CoRR Julien Chhor, Alexandra Carpentier
2021	A*	`conf`	Problem Dependent View on Structured Thresholding Bandit Problems. ICML James Cheshire, Pierre Ménard, Alexandra Carpentier
2021	J	`jnl`	Problem Dependent View on Structured Thresholding Bandit Problems. CoRR James Cheshire, Pierre Ménard, Alexandra Carpentier
2020	A*	`conf`	Linear bandits with Stochastic Delayed Feedback. ICML Claire Vernade, Alexandra Carpentier, Tor Lattimore, Giovanni Zappella, Beyza Ermis, Michael Brückner
2020	A*	`conf`	Stochastic bandits with arm-dependent delays. ICML Anne Gael Manegueu, Claire Vernade, Alexandra Carpentier, Michal Valko
2020	J	`jnl`	Stochastic bandits with arm-dependent delays. CoRR Anne Gael Manegueu, Claire Vernade, Alexandra Carpentier, Michal Valko
2020	J	`jnl`	The Elliptical Potential Lemma Revisited. CoRR Alexandra Carpentier, Claire Vernade, Yasin Abbasi-Yadkori
2020	A*	`conf`	The Influence of Shape Constraints on the Thresholding Bandit Problem. COLT James Cheshire, Pierre Ménard, Alexandra Carpentier
2020	J	`jnl`	The Influence of Shape Constraints on the Thresholding Bandit Problem. CoRR James Cheshire, Pierre Ménard, Alexandra Carpentier
2019	B	`conf`	A minimax near-optimal algorithm for adaptive rejection sampling. ALT Juliette Achdou, Joseph Lam-Weil, Alexandra Carpentier, Gilles Blanchard
2019	A	`conf`	Active multiple matrix completion with adaptive confidence sets. AISTATS Andrea Locatelli, Alexandra Carpentier, Michal Valko
2019	J	`jnl`	Local minimax rates for closeness testing of discrete distributions. CoRR Joseph Lam-Weil, Alexandra Carpentier, Bharath K. Sriperumbudur
2019	J	`jnl`	Minimax Rate of Testing in Sparse Linear Regression. Autom. Remote. Control. Alexandra Carpentier, Olivier Collier, Laëtitia Comminges, Alexandre B. Tsybakov, Yuhao Wang
2019	J	`jnl`	Restless dependent bandits with fading memory. CoRR Oleksandr Zadorozhnyi, Gilles Blanchard, Alexandra Carpentier
2019	A	`conf`	Rotting bandits are no harder than stochastic ones. AISTATS Julien Seznec, Andrea Locatelli, Alexandra Carpentier, Alessandro Lazaric, Michal Valko
2018	J	`jnl`	A minimax near-optimal algorithm for adaptive rejection sampling. CoRR Juliette Achdou, Joseph C. Lam, Alexandra Carpentier, Gilles Blanchard
2018	A*	`conf`	Adaptivity to Smoothness in X-armed bandits. COLT Andrea Locatelli, Alexandra Carpentier
2018	B	`conf`	An Adaptive Strategy for Active Learning with Smooth Decision Boundary. ALT Andrea Locatelli, Alexandra Carpentier, Samory Kpotufe
2018	J	`jnl`	Contextual Bandits under Delayed Feedback. CoRR Claire Vernade, Alexandra Carpentier, Giovanni Zappella, Beyza Ermis, Michael Brückner
2018	J	`jnl`	Rotting bandits are no harder than stochastic ones. CoRR Julien Seznec, Andrea Locatelli, Alexandra Carpentier, Alessandro Lazaric, Michal Valko
2017	A*	`conf`	Adaptivity to Noise Parameters in Nonparametric Active Learning. COLT Andrea Locatelli, Alexandra Carpentier, Samory Kpotufe
2017	J	`jnl`	An Adaptive Strategy for Active Learning with Smooth Decision Boundary. CoRR Andrea Locatelli, Alexandra Carpentier, Samory Kpotufe
2017	A*	`conf`	Two-Sample Tests for Large Random Graphs Using Network Statistics. COLT Debarghya Ghoshdastidar, Maurilio Gutzeit, Alexandra Carpentier, Ulrike von Luxburg
2016	A*	`conf`	An optimal algorithm for the Thresholding Bandit Problem. ICML Andrea Locatelli, Maurilio Gutzeit, Alexandra Carpentier
2016	J	`jnl`	An optimal algorithm for the Thresholding Bandit Problem. CoRR Andrea Locatelli, Maurilio Gutzeit, Alexandra Carpentier
2016	A	`conf`	Learning Relationships between Data Obtained Independently. AISTATS Alexandra Carpentier, Teresa Schlueter
2016	A*	`conf`	Pliable Rejection Sampling. ICML Akram Erraqabi, Michal Valko, Alexandra Carpentier, Odalric-Ambrym Maillard
2016	A	`conf`	Revealing Graph Bandits for Maximizing Local Influence. AISTATS Alexandra Carpentier, Michal Valko
2016	A*	`conf`	Tight (Lower) Bounds for the Fixed Budget Best Arm Identification Bandit Problem. COLT Alexandra Carpentier, Andrea Locatelli
2016	J	`jnl`	Tight (Lower) Bounds for the Fixed Budget Best Arm Identification Bandit Problem. CoRR Alexandra Carpentier, Andrea Locatelli
2015	J	`jnl`	Adaptive strategy for stratified Monte Carlo sampling. J. Mach. Learn. Res. Alexandra Carpentier, Rémi Munos, András Antos
2015	A	`conf`	Implementable confidence sets in high dimensional regression. AISTATS Alexandra Carpentier
2015	A*	`conf`	Simple regret for infinitely many armed bandits. ICML Alexandra Carpentier, Michal Valko
2015	J	`jnl`	Simple regret for infinitely many armed bandits. CoRR Alexandra Carpentier, Michal Valko
2015	J	`jnl`	Upper-Confidence-Bound Algorithms for Active Learning in Multi-Armed Bandits. CoRR Alexandra Carpentier, Alessandro Lazaric, Mohammad Ghavamzadeh, Rémi Munos, Peter Auer, András Antos
2014	—	`conf`	Extreme bandits. NIPS Alexandra Carpentier, Michal Valko
2014	J	`jnl`	Minimax number of strata for online stratified sampling: The case of noisy samples. Theor. Comput. Sci. Alexandra Carpentier, Rémi Munos
2013	—	`conf`	Stochastic Simultaneous Optimistic Optimization. ICML (2) Michal Valko, Alexandra Carpentier, Rémi Munos
2013	—	`conf`	Toward Optimal Stratification for Stratified Monte-Carlo Integration. ICML (2) Alexandra Carpentier, Rémi Munos
2012	—	`conf`	Adaptive Stratified Sampling for Monte-Carlo integration of Differentiable functions. NIPS Alexandra Carpentier, Rémi Munos
2012	—	`conf`	Bandit Algorithms boost Brain Computer Interfaces for motor-task selection of a brain-controlled button. NIPS Joan Fruitet, Alexandra Carpentier, Rémi Munos, Maureen Clerc
2012	A	`conf`	Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit. AISTATS Alexandra Carpentier, Rémi Munos
2012	B	`conf`	Minimax Number of Strata for Online Stratified Sampling Given Noisy Samples. ALT Alexandra Carpentier, Rémi Munos
2012	—	`conf`	Online allocation and homogeneous partitioning for piecewise constant mean-approximation. NIPS Alexandra Carpentier, Odalric-Ambrym Maillard
2011	—	`conf`	Finite Time Analysis of Stratified Sampling for Monte Carlo. NIPS Alexandra Carpentier, Rémi Munos
2011	—	`conf`	Sparse Recovery with Brownian Sensing. NIPS Alexandra Carpentier, Odalric-Ambrym Maillard, Rémi Munos
2011	B	`conf`	Upper-Confidence-Bound Algorithms for Active Learning in Multi-armed Bandits. ALT Alexandra Carpentier, Alessandro Lazaric, Mohammad Ghavamzadeh, Rémi Munos, Peter Auer