Alexandra Carpentier

According to our database, Alexandra Carpentier authored at least 47 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Optimal level set estimation for non-parametric tournament and crowdsourcing problems.

Maximilian Graf, Alexandra Carpentier, Nicolas Verzelen

CoRR, 2024

A simple and improved algorithm for noisy, convex, zeroth-order optimisation.

Alexandra Carpentier

CoRR, 2024

Active clustering with bandit feedback.

Victor Thuot, Alexandra Carpentier, Christophe Giraud, Nicolas Verzelen

CoRR, 2024

Optimal rates for ranking a permuted isotonic matrix in polynomial time.

Emmanuel Pilliat, Alexandra Carpentier, Nicolas Verzelen

Proceedings of the 2024 ACM-SIAM Symposium on Discrete Algorithms, 2024

2023

Active Ranking of Experts Based on their Performances in Many Tasks.

El Mehdi Saad, Nicolas Verzelen, Alexandra Carpentier

Proceedings of the International Conference on Machine Learning, 2023

Online Learning with Feedback Graphs: The True Shape of Regret.

Tomás Kocák, Alexandra Carpentier

Proceedings of the International Conference on Machine Learning, 2023

2022

The price of unfairness in linear bandits with biased feedback.

Solenne Gaucher, Alexandra Carpentier, Christophe Giraud

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Goodness-of-Fit Testing for Hölder-Continuous Densities: Sharp Local Minimax Rates.

Julien Chhor, Alexandra Carpentier

CoRR, 2021

Generalized non-stationary bandits.

Anne Gael Manegueu, Alexandra Carpentier, Yi Yu

CoRR, 2021

Bandits with many optimal arms.

Rianne de Heide, James Cheshire, Pierre Ménard, Alexandra Carpentier

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Problem Dependent View on Structured Thresholding Bandit Problems.

James Cheshire, Pierre Ménard, Alexandra Carpentier

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

The Elliptical Potential Lemma Revisited.

Alexandra Carpentier, Claire Vernade, Yasin Abbasi-Yadkori

CoRR, 2020

Linear bandits with Stochastic Delayed Feedback.

Claire Vernade, Alexandra Carpentier, Tor Lattimore, Giovanni Zappella, Beyza Ermis, Michael Brückner

Proceedings of the 37th International Conference on Machine Learning, 2020

Stochastic bandits with arm-dependent delays.

Anne Gael Manegueu, Claire Vernade, Alexandra Carpentier, Michal Valko

Proceedings of the 37th International Conference on Machine Learning, 2020

The Influence of Shape Constraints on the Thresholding Bandit Problem.

James Cheshire, Pierre Ménard, Alexandra Carpentier

Proceedings of the Conference on Learning Theory, 2020

2019

Restless dependent bandits with fading memory.

Oleksandr Zadorozhnyi, Gilles Blanchard, Alexandra Carpentier

CoRR, 2019

Local minimax rates for closeness testing of discrete distributions.

Joseph Lam-Weil, Alexandra Carpentier, Bharath K. Sriperumbudur

CoRR, 2019

Minimax Rate of Testing in Sparse Linear Regression.

Alexandra Carpentier, Olivier Collier, Laëtitia Comminges, Alexandre B. Tsybakov, Yuhao Wang

Autom. Remote. Control., 2019

A minimax near-optimal algorithm for adaptive rejection sampling.

Juliette Achdou, Joseph Lam-Weil, Alexandra Carpentier, Gilles Blanchard

Proceedings of the Algorithmic Learning Theory, 2019

Rotting bandits are no harder than stochastic ones.

Julien Seznec, Andrea Locatelli, Alexandra Carpentier, Alessandro Lazaric, Michal Valko

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Active multiple matrix completion with adaptive confidence sets.

Andrea Locatelli, Alexandra Carpentier, Michal Valko

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Contextual Bandits under Delayed Feedback.

Claire Vernade, Alexandra Carpentier, Giovanni Zappella, Beyza Ermis, Michael Brückner

CoRR, 2018

Adaptivity to Smoothness in X-armed bandits.

Andrea Locatelli, Alexandra Carpentier

Proceedings of the Conference On Learning Theory, 2018

An Adaptive Strategy for Active Learning with Smooth Decision Boundary.

Andrea Locatelli, Alexandra Carpentier, Samory Kpotufe

Proceedings of the Algorithmic Learning Theory, 2018

2017

Two-Sample Tests for Large Random Graphs Using Network Statistics.

Debarghya Ghoshdastidar, Maurilio Gutzeit, Alexandra Carpentier, Ulrike von Luxburg

Proceedings of the 30th Conference on Learning Theory, 2017

Adaptivity to Noise Parameters in Nonparametric Active Learning.

Andrea Locatelli, Alexandra Carpentier, Samory Kpotufe

Proceedings of the 30th Conference on Learning Theory, 2017

2016

An optimal algorithm for the Thresholding Bandit Problem.

Andrea Locatelli, Maurilio Gutzeit, Alexandra Carpentier

Proceedings of the 33nd International Conference on Machine Learning, 2016

Pliable Rejection Sampling.

Akram Erraqabi, Michal Valko, Alexandra Carpentier, Odalric-Ambrym Maillard

Proceedings of the 33nd International Conference on Machine Learning, 2016

Tight (Lower) Bounds for the Fixed Budget Best Arm Identification Bandit Problem.

Alexandra Carpentier, Andrea Locatelli

Proceedings of the 29th Conference on Learning Theory, 2016

Revealing Graph Bandits for Maximizing Local Influence.

Alexandra Carpentier, Michal Valko

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Learning Relationships between Data Obtained Independently.

Alexandra Carpentier, Teresa Schlueter

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Adaptive strategy for stratified Monte Carlo sampling.

Alexandra Carpentier, Rémi Munos, András Antos

J. Mach. Learn. Res., 2015

Upper-Confidence-Bound Algorithms for Active Learning in Multi-Armed Bandits.

Alexandra Carpentier, Alessandro Lazaric, Mohammad Ghavamzadeh, Rémi Munos, Peter Auer, András Antos

CoRR, 2015

Simple regret for infinitely many armed bandits.

Alexandra Carpentier, Michal Valko

Proceedings of the 32nd International Conference on Machine Learning, 2015

Implementable confidence sets in high dimensional regression.

Alexandra Carpentier

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

Minimax number of strata for online stratified sampling: The case of noisy samples.

Alexandra Carpentier, Rémi Munos

Theor. Comput. Sci., 2014

Extreme bandits.

Alexandra Carpentier, Michal Valko

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Stochastic Simultaneous Optimistic Optimization.

Michal Valko, Alexandra Carpentier, Rémi Munos

Proceedings of the 30th International Conference on Machine Learning, 2013

Toward Optimal Stratification for Stratified Monte-Carlo Integration.

Alexandra Carpentier, Rémi Munos

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit.

Alexandra Carpentier, Rémi Munos

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Bandit Algorithms boost Brain Computer Interfaces for motor-task selection of a brain-controlled button.

Joan Fruitet, Alexandra Carpentier, Rémi Munos, Maureen Clerc

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Online allocation and homogeneous partitioning for piecewise constant mean-approximation.

Alexandra Carpentier, Odalric-Ambrym Maillard

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Adaptive Stratified Sampling for Monte-Carlo integration of Differentiable functions.

Alexandra Carpentier, Rémi Munos

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Minimax Number of Strata for Online Stratified Sampling Given Noisy Samples.

Alexandra Carpentier, Rémi Munos

Proceedings of the Algorithmic Learning Theory - 23rd International Conference, 2012

2011

Sparse Recovery with Brownian Sensing.

Alexandra Carpentier, Odalric-Ambrym Maillard, Rémi Munos

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Finite Time Analysis of Stratified Sampling for Monte Carlo.

Alexandra Carpentier, Rémi Munos

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Upper-Confidence-Bound Algorithms for Active Learning in Multi-armed Bandits.

Alexandra Carpentier, Alessandro Lazaric, Mohammad Ghavamzadeh, Rémi Munos, Peter Auer

Proceedings of the Algorithmic Learning Theory - 22nd International Conference, 2011