Alexandra Carpentier

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All published works

Action	Title	Year	Authors
+ PDF Chat	Optimal level set estimation for non-parametric tournament and crowdsourcing problems	2024	Mike Graf Alexandra Carpentier Nicolas Verzélen
+ PDF Chat	Seriation of T{\oe}plitz and latent position matrices: optimal rates and computational trade-offs	2024	Clément Berenfeld Alexandra Carpentier Nicolas Verzélen
+ PDF Chat	A simple and improved algorithm for noisy, convex, zeroth-order optimisation	2024	Alexandra Carpentier
+ PDF Chat	Active clustering with bandit feedback	2024	Victor Thuot Alexandra Carpentier Christophe Giraud Nicolas Verzélen
+	Moment inequalities for sums of weakly dependent random fields	2024	Gilles Blanchard Alexandra Carpentier Oleksandr Zadorozhnyi
+	Optimal rates for ranking a permuted isotonic matrix in polynomial time	2024	Emmanuel Pilliat Alexandra Carpentier Nicolas Verzélen
+ PDF Chat	Optimal Permutation Estimation in CrowdSourcing problems	2023	Emmanuel Pilliat Alexandra Carpentier Nicolas Verzélen
+ PDF Chat	Optimal multiple change-point detection for high-dimensional data	2023	Emmanuel Pilliat Alexandra Carpentier Nicolas Verzélen
+	Active Ranking of Experts Based on their Performances in Many Tasks	2023	El Mehdi Saad Nicolas Verzélen Alexandra Carpentier
+	Online Learning with Feedback Graphs: The True Shape of Regret	2023	Tomáš Kocák Alexandra Carpentier
+	Moment inequalities for sums of weakly dependent random fields	2023	Gilles Blanchard Alexandra Carpentier Oleksandr Zadorozhnyi
+	Optimal rates for ranking a permuted isotonic matrix in polynomial time	2023	Emmanuel Pilliat Alexandra Carpentier Nicolas Verzélen
+ PDF Chat	Sharp local minimax rates for goodness-of-fit testing in multivariate binomial and Poisson families and in multinomials	2022	Julien Chhor Alexandra Carpentier
+ PDF Chat	Estimation of the ℓ2-norm and testing in sparse linear regression with unknown variance	2022	Alexandra Carpentier Olivier Collier Laëtitia Comminges Alexandre B. Tsybakov Yuhao Wang
+ PDF Chat	Local minimax rates for closeness testing of discrete distributions	2022	Joseph Lam-Weil Alexandra Carpentier Bharath K. Sriperumbudur
+	The price of unfairness in linear bandits with biased feedback	2022	Solenne Gaucher Alexandra Carpentier Christophe Giraud
+	Optimal Permutation Estimation in Crowd-Sourcing problems	2022	Emmanuel Pilliat Alexandra Carpentier Nicolas Verzélen
+	Goodness-of-Fit Testing for Hölder-Continuous Densities: Sharp Local Minimax Rates.	2021	Julien Chhor Alexandra Carpentier
+	Problem Dependent View on Structured Thresholding Bandit Problems	2021	James Cheshire Pierre Ménard Alexandra Carpentier
+ PDF Chat	Total variation distance for discretely observed Lévy processes: A Gaussian approximation of the small jumps	2021	Alexandra Carpentier Céline Duval Ester Mariucci
+ PDF Chat	Optimal sparsity testing in linear regression model	2021	Alexandra Carpentier Nicolas Verzélen
+	Bandits with many optimal arms	2021	Rianne de Heide James Cheshire Pierre Ménard Alexandra Carpentier
+ PDF Chat	Estimating minimum effect with outlier selection	2021	Alexandra Carpentier Sylvain Delattre Étienne Roquain Nicolas Verzélen
+	Generalized non-stationary bandits	2021	Anne Gael Manegueu Alexandra Carpentier Yi Yu
+	Problem Dependent View on Structured Thresholding Bandit Problems	2021	James Cheshire Pierre Ménard Alexandra Carpentier
+	Bandits with many optimal arms	2021	Rianne de Heide James Cheshire Pierre Ménard Alexandra Carpentier
+	Goodness-of-Fit Testing for Hölder-Continuous Densities: Sharp Local Minimax Rates	2021	Julien Chhor Alexandra Carpentier
+	Sharp Local Minimax Rates for Goodness-of-Fit Testing in Large Random Graphs, multivariate Poisson families and multinomials	2020	Julien Chhor Alexandra Carpentier
+ PDF Chat	Two-sample hypothesis testing for inhomogeneous random graphs	2020	Debarghya Ghoshdastidar Maurilio Gutzeit Alexandra Carpentier Ulrike von Luxburg
+	Stochastic bandits with arm-dependent delays	2020	Anne Gael Manegueu Claire Vernade Alexandra Carpentier Michal Vaľko
+ PDF Chat	Stochastic bandits with arm-dependent delays	2020	Anne Gael Manegueu Claire Vernade Alexandra Carpentier Michal Vaľko
+	The Influence of Shape Constraints on the Thresholding Bandit Problem	2020	James Cheshire Pierre Ménard Alexandra Carpentier
+	The Elliptical Potential Lemma Revisited	2020	Alexandra Carpentier Claire Vernade Yasin Abbasi-Yadkori
+	Estimation of the $l_2$-norm and testing in sparse linear regression with unknown variance	2020	Alexandra Carpentier Olivier Collier Laëtitia Comminges Alexandre B. Tsybakov Yuhao Wang
+ PDF Chat	Stochastic bandits with arm-dependent delays	2020	Anne Gael Manegueu Claire Vernade Alexandra Carpentier Michal Vaľko
+	Stochastic bandits with arm-dependent delays	2020	Anne Gael Manegueu Claire Vernade Alexandra Carpentier Michal Vaľko
+ PDF Chat	Minimax Rate of Testing in Sparse Linear Regression	2019	Alexandra Carpentier Olivier Collier Laëtitia Comminges A. B. Tsybakov Yu Wang
+	Optimal Sparsity Testing in Linear regression Model	2019	Alexandra Carpentier Nicolas Verzélen
+ PDF Chat	Uncertainty Quantification for Matrix Compressed Sensing and Quantum Tomography Problems	2019	Alexandra Carpentier Jens Eisert David Groß Richard Nickl
+	Restless dependent bandits with fading memory	2019	Oleksandr Zadorozhnyi Gilles Blanchard Alexandra Carpentier
+	Local minimax rates for closeness testing of discrete distributions	2019	Joseph Lam-Weil Alexandra Carpentier Bharath K. Sriperumbudur
+	Optimal Sparsity Testing in Linear regression Model	2019	Alexandra Carpentier Nicolas Verzélen
+ PDF Chat	Adaptive estimation of the sparsity in the Gaussian vector model	2018	Alexandra Carpentier Nicolas Verzélen
+	Total variation distance for discretely observed L\'evy processes: a Gaussian approximation of the small jumps.	2018	Alexandra Carpentier Céline Duval Ester Mariucci
+ PDF Chat	Adaptive confidence sets for matrix completion	2018	Alexandra Carpentier Olga Klopp Matthias Löffler Richard Nickl
+ PDF Chat	Constructing Confidence Sets for the Matrix Completion Problem	2018	Alexandra Carpentier Olga Klopp Maarten Löffler
+	Minimax Euclidean separation rates for testing convex hypotheses in $\mathbb{R}^{d}$	2018	Gilles Blanchard Alexandra Carpentier Maurilio Gutzeit
+	Minimax rate of testing in sparse linear regression	2018	Alexandra Carpentier Olivier Collier Laëtitia Comminges Alexandre B. Tsybakov Yuhao Wang
+	Contextual Bandits under Delayed Feedback.	2018	Claire Vernade Alexandra Carpentier Giovanni Zappella Beyza Ermiş Michael Brueckner
+	Rotting bandits are not harder than stochastic ones	2018	Julien Seznec Andrea Locatelli Alexandra Carpentier Alessandro Lazaric Michal Vaľko
+	A minimax near-optimal algorithm for adaptive rejection sampling	2018	Gilles Blanchard Juliette Achddou Alexandra Carpentier
+	Linear Bandits with Stochastic Delayed Feedback	2018	Claire Vernade Alexandra Carpentier Tor Lattimore Giovanni Zappella Beyza Ermiş Michael Brueckner
+	An Adaptive Strategy for Active Learning with Smooth Decision Boundary	2017	Andrea Locatelli Alexandra Carpentier Samory Kpotufe
+	Two-sample Tests for Random Graphs	2017	Debarghya Ghoshdastidar Maurilio Gutzeit Alexandra Carpentier Ulrike von Luxburg
+	Two-sample tests for large random graphs using network statistics	2017	Debarghya Ghoshdastidar Maurilio Gutzeit Alexandra Carpentier Ulrike von Luxburg
+ PDF Chat	An iterative hard thresholding estimator for low rank matrix recovery with explicit limiting distribution	2017	Alexandra Carpentier Arlene K. H. Kim
+	Adaptive estimation of the sparsity in the Gaussian vector model	2017	Alexandra Carpentier Nicolas Verzélen
+	Minimax Euclidean Separation Rates for Testing Convex Hypotheses in $\mathbb{R}^d$	2017	Gilles Blanchard Alexandra Carpentier Maurilio Gutzeit
+	Adaptivity to Noise Parameters in Nonparametric Active Learning	2017	Andrea Locatelli Alexandra Carpentier Samory Kpotufe
+	Two-Sample Tests for Large Random Graphs Using Network Statistics	2017	Debarghya Ghoshdastidar Maurilio Gutzeit Alexandra Carpentier Ulrike von Luxburg
+	An Adaptive Strategy for Active Learning with Smooth Decision Boundary	2017	Andrea Locatelli Alexandra Carpentier Samory Kpotufe
+	Adaptive estimation of the sparsity in the Gaussian vector model	2017	Alexandra Carpentier Nicolas Verzélen
+	Minimax Euclidean Separation Rates for Testing Convex Hypotheses in $\mathbb{R}^d$	2017	Gilles Blanchard Alexandra Carpentier Maurilio Gutzeit
+	Learning Relationships between Data Obtained Independently	2016	Alexandra Carpentier Teresa Schlueter
+	Learning relationships between data obtained independently	2016	Alexandra Carpentier Teresa Schlueter
+	An optimal algorithm for the Thresholding Bandit Problem	2016	Andrea Locatelli Maurilio Gutzeit Alexandra Carpentier
+	Tight (Lower) Bounds for the Fixed Budget Best Arm Identification Bandit Problem	2016	Alexandra Carpentier Andrea Locatelli
+	On signal detection and confidence sets for low rank inference problems	2015	Alexandra Carpentier Richard Nickl
+	An iterative hard thresholding estimator for low rank matrix recovery with explicit limiting distribution	2015	Alexandra Carpentier Arlene K. H. Kim
+	Testing the regularity of a smooth signal	2015	Alexandra Carpentier
+	Implementable confidence sets in high dimensional regression	2015	Alexandra Carpentier
+	Simple regret for infinitely many armed bandits	2015	Alexandra Carpentier Michal Vaľko
+ PDF Chat	On signal detection and confidence sets for low rank inference problems	2015	Alexandra Carpentier Richard Nickl
+	Implementable confidence sets in high dimensional regression	2015	Alexandra Carpentier
+	An iterative hard thresholding estimator for low rank matrix recovery with explicit limiting distribution	2015	Alexandra Carpentier Arlene K. H. Kim
+	On signal detection and confidence sets for low rank inference problems	2015	Alexandra Carpentier Richard Nickl
+	Upper-Confidence-Bound Algorithms for Active Learning in Multi-Armed Bandits	2015	Alexandra Carpentier Alessandro Lazaric Mohammad Ghavamzadeh Rémi Munos Peter Auer András Antos
+	Minimax number of strata for online stratified sampling: The case of noisy samples	2014	Alexandra Carpentier Rémi Munos
+ PDF Chat	Adaptive and minimax optimal estimation of the tail coefficient	2014	Alexandra Carpentier Arlene K. H. Kim
+ PDF Chat	Adaptive confidence intervals for the tail coefficient in a wide second order class of Pareto models	2014	Alexandra Carpentier Arlene K. H. Kim
+	Adaptive confidence intervals for the tail coefficient in a wide second order class of Pareto models	2013	Alexandra Carpentier Arlene K. H. Kim
+	Honest and adaptive confidence interval for the tail coefficient in the Pareto model	2013	Alexandra Carpentier Arlene K. H. Kim
+	Adaptive and minimax optimal estimation of the tail coefficient	2013	Alexandra Carpentier Arlene K. H. Kim
+	Honest and adaptive confidence sets in Lp	2013	Alexandra Carpentier
+ PDF Chat	Stochastic Simultaneous Optimistic Optimization	2013	Michal Vaľko Alexandra Carpentier Rémi Munos
+	Toward Optimal Stratification for Stratified Monte-Carlo Integration	2013	Alexandra Carpentier Rémi Munos
+ PDF Chat	Honest and adaptive confidence sets in $L_{p}$	2013	Alexandra Carpentier
+	Adaptive confidence intervals for the tail coefficient in a wide second order class of Pareto models	2013	Alexandra Carpentier Arlene K. H. Kim
+	Honest and adaptive confidence sets in Lp	2013	Alexandra Carpentier
+	Adaptive and minimax optimal estimation of the tail coefficient	2013	Alexandra Carpentier Arlene K. H. Kim
+ PDF Chat	Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit	2012	Alexandra Carpentier Rémi Munos
+ PDF Chat	Minimax Number of Strata for Online Stratified Sampling Given Noisy Samples	2012	Alexandra Carpentier Rémi Munos
+ PDF Chat	Adaptive Stratified Sampling for Monte-Carlo integration of Differentiable functions	2012	Alexandra Carpentier Rémi Munos
+	Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit	2012	Alexandra Carpentier Rémi Munos
+	Minimax Number of Strata for Online Stratified Sampling given Noisy Samples	2012	Alexandra Carpentier Rémi Munos
+	Adaptive Stratified Sampling for Monte-Carlo integration of Differentiable functions	2012	Alexandra Carpentier Rémi Munos
+ PDF Chat	On the Informativeness of Dominant and Co-Dominant Genetic Markers for Bayesian Supervised Clustering	2011	G. Guillot Alexandra Carpentier
+ PDF Chat	Upper-Confidence-Bound Algorithms for Active Learning in Multi-armed Bandits	2011	Alexandra Carpentier Alessandro Lazaric Mohammad Ghavamzadeh Rémi Munos Peter Auer
+	Sparse Recovery with Brownian Sensing	2011	Alexandra Carpentier Odalric Maillard Rémi Munos

Common Coauthors

Coauthor	Papers Together
Nicolas Verzélen	16
Rémi Munos	11
Arlene K. H. Kim	10
Maurilio Gutzeit	8
Gilles Blanchard	7
Michal Vaľko	7
Claire Vernade	7
James Cheshire	5
Anne Gael Manegueu	5
Richard Nickl	5
Andrea Locatelli	5
Emmanuel Pilliat	5
Pierre Ménard	5
Debarghya Ghoshdastidar	4
Julien Chhor	4
Ulrike von Luxburg	4
Laëtitia Comminges	4
Olivier Collier	4
Alessandro Lazaric	3
Oleksandr Zadorozhnyi	3
Alexandre B. Tsybakov	3
Samory Kpotufe	3
Rianne de Heide	2
Michael Brueckner	2
Céline Duval	2
Giovanni Zappella	2
Mohammad Ghavamzadeh	2
Christophe Giraud	2
Joseph Lam-Weil	2
Olga Klopp	2
Beyza Ermiş	2
Ester Mariucci	2
Peter Auer	2
Teresa Schlueter	2
Yuhao Wang	2
Bharath K. Sriperumbudur	2
András Antos	1
David Groß	1
Yi Yu	1
Juliette Achddou	1
Tomáš Kocák	1
Jens Eisert	1
Andrea Locatelli	1
Mike Graf	1
Julien Seznec	1
Étienne Roquain	1
Clément Berenfeld	1
El Mehdi Saad	1
Maarten Löffler	1
G. Guillot	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Detection boundary in sparse regression	2010	Yuri I. Ingster Alexandre B. Tsybakov Nicolas Verzélen	11
+ PDF Chat	Higher criticism for detecting sparse heterogeneous mixtures	2004	David L. Donoho Jiashun Jin	10
+	Non-asymptotic minimax rates of testing in signal detection	2002	Yannick Baraud	10
+	On adaptive inference and confidence bands	2011	Marc Hoffmann Richard Nickl	9
+ PDF Chat	Mathematical Foundations of Infinite-Dimensional Statistical Models	2015	Evarist Giné Richard Nickl	9
+	Introduction to Nonparametric Estimation	2008	Alexandre B. Tsybakov	8
+ PDF Chat	Minimax risks for sparse regressions: Ultra-high dimensional phenomenons	2012	Nicolas Verzélen	8
+	Nuclear-norm penalization and optimal rates for noisy low-rank matrix completion	2011	Vladimir Koltchinskii Karim Lounici Alexandre B. Tsybakov	8
+ PDF Chat	On estimation of the L r norm of a regression function	1999	Oleg Lepski Arkadi Nemirovski Vladimir Spokoiny	7
+	Minimax estimation of linear and quadratic functionals on sparsity classes	2017	Olivier Collier Laëtitia Comminges Alexandre B. Tsybakov	7
+	Testing the regularity of a smooth signal	2015	Alexandra Carpentier	7
+ PDF Chat	On nonparametric tests of positivity/monotonicity/convexity	2002	Anatoli Juditsky Arkadi Nemirovski	7
+ PDF Chat	Minimax testing of a composite null hypothesis defined via a quadratic functional in the model of regression	2013	Laëtitia Comminges Arnak S. Dalalyan	7
+ PDF Chat	Confidence bands in density estimation	2010	Evarist Giné Richard Nickl	6
+ PDF Chat	Adaptive confidence sets in $$L^2$$	2012	Adam D. Bull Richard Nickl	6
+ PDF Chat	Adaptive minimax testing in the discrete regression scheme	2005	Ghislaine Gayraud Christophe Pouet	6
+	On asymptotically optimal confidence regions and tests for high-dimensional models	2014	Sara van de Geer Peter Bühlmann Ya’acov Ritov Ruben Dezeure	5
+	Proportion of Non-Zero Normal Means: Universal Oracle Equivalences and Uniformly Consistent Estimators	2008	Jiashun Jin	5
+ PDF Chat	Quantum State Tomography via Compressed Sensing	2010	David Groß Yi-Kai Liu Steven T. Flammia Stephen Becker Jens Eisert	5
+	Confidence sets in sparse regression	2013	Richard Nickl Sara van de Geer	5
+ PDF Chat	Random rates in anisotropic regression (with a discussion and a rejoinder by the authors)	2002	Melinda Tonks Hoffman Oleg Lepski	5
+ PDF Chat	Adaptive Optimal Allocation in Stratified Sampling Methods	2008	Pierre Étoré Benjamin Jourdain	5
+ PDF Chat	Optimal adaptive estimation of linear functionals under sparsity	2018	Olivier Collier Laëtitia Comminges Alexandre B. Tsybakov Nicolas Verzélen	5
+ PDF Chat	Global testing under sparse alternatives: ANOVA, multiple comparisons and the higher criticism	2011	Ery Arias-Castro Emmanuel J. Candès Yaniv Plan	5
+ PDF Chat	Hypothesis testing for densities and high-dimensional multinomials: Sharp local minimax rates	2019	Sivaraman Balakrishnan L. H. Wasserman	4
+ PDF Chat	On nonparametric confidence intervals	1997	Mark G. Low	4
+	Sharp nonasymptotic bounds on the norm of random matrices with independent entries	2016	Afonso S. Bandeira Ramon van Handel	4
+ PDF Chat	Testing that distributions are close	2002	Tuğkan Batu Lance Fortnow Ronitt Rubinfeld Warren D. Smith Patrick White	4
+	Tight oracle bounds for low-rank matrix recovery from a minimal number of random measurements	2010	Emmanuel J. Candès Yaniv Plan	4
+ PDF Chat	Estimating the Null and the Proportion of Nonnull Effects in Large-Scale Multiple Comparisons	2007	Jiashun Jin Tommaso Cai	4
+ PDF Chat	A New Approach for Testing Properties of Discrete Distributions	2016	Ilias Diakonikolas Daniel M. Kane	4
+	A Coincidence-Based Test for Uniformity Given Very Sparsely Sampled Discrete Data	2008	Liam Paninski	4
+ PDF Chat	Pure Exploration in Multi-armed Bandits Problems	2009	Sébastien Bubeck Rémi Munos Gilles Stoltz	4
+ PDF Chat	Confidence Intervals for Low Dimensional Parameters in High Dimensional Linear Models	2013	Cun‐Hui Zhang Stephanie S. Zhang	4
+ PDF Chat	Adaptive hypothesis testing using wavelets	1996	Vladimir Spokoiny	4
+	On problems of adaptive estimation in white Gaussian noise	1992	O. V. Lepskii	4
+ PDF Chat	Adaptive estimation of high-dimensional signal-to-noise ratios	2018	Nicolas Verzélen Élisabeth Gassiat	4
+ PDF Chat	A Simple General Approach to Inference About the Tail of a Distribution	1975	Bruce M. Hill	4
+ PDF Chat	Simultaneous analysis of Lasso and Dantzig selector	2009	Peter J. Bickel Ya’acov Ritov Alexandre B. Tsybakov	4
+	Community detection in dense random networks	2014	Ery Arias-Castro Nicolas Verzélen	4
+ PDF Chat	Estimation of (near) low-rank matrices with noise and high-dimensional scaling	2011	Sahand Negahban Martin J. Wainwright	4
+	ROP: Matrix recovery via rank-one projections	2014	Tommaso Cai Anru R. Zhang	4
+	Confidence intervals for high-dimensional linear regression: Minimax rates and adaptivity	2017	Tommaso Cai Zijian Guo	3
+ PDF Chat	Quantum tomography via compressed sensing: error bounds, sample complexity and efficient estimators	2012	Steven T. Flammia David Groß Yi-Kai Liu Jens Eisert	3
+ PDF Chat	On adaptive stratification	2009	Pierre Étoré Gersende Fort Benjamin Jourdain Éric Moulines	3
+	Optimal Algorithms for Testing Closeness of Discrete Distributions	2013	Siu-On Chan Ilias Diakonikolas Gregory Valiant Paul Valiant	3
+ PDF Chat	Scaled sparse linear regression	2012	Tao Sun C.-H. Zhang	3
+	Confidence intervals and hypothesis testing for high-dimensional regression	2014	Adel Javanmard Andrea Montanari	3
+	Monte Carlo Methods in Financial Engineering	2003	Paul Glasserman	3
+ PDF Chat	Testing composite hypotheses, Hermite polynomials and optimal estimation of a nonsmooth functional	2011	Tommaso Cai Mark G. Low	3