Publications

2022

Peer-reviewed journal article

Local minimax rates for closeness testing of discrete distributions

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

In: Bernoulli - Aarhus, Bd. 28 (2022), 2, S. 1179-1197

2021

Peer-reviewed journal article

Optimal sparsity testing in linear regression model

Carpentier, Alexandra; Verzelen, Nicolas

In: Bernoulli: official journal of the Bernoulli Society for Mathematical Statistics and Probability - Aarhus, Bd. 27 (2021), 2, S. 727-750

2020

Peer-reviewed journal article

Two-sample hypothesis testing for inhomogeneous random graphs

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

In: The annals of statistics: an official journal of the Institute of Mathematical Statistics - Hayward, Calif.: IMS Business Off., Bd. 48.2020, 4, S. 2208-2229

Non-peer-reviewed journal article

Linear bandits with stochastic delayed feedback

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

In: De.arxiv.org - [S.l.]: Arxiv.org, 2020, article 1807.02089

Non-peer-reviewed journal article

The influence of shape constraints on the thresholding bandit problem

Cheshire, James; Menard, Pierre; Carpentier, Alexandra

In: De.arxiv.org - [S.l.]: Arxiv.org, 2020, article 2006.10006

Non-peer-reviewed journal article

Stochastic bandits with arm-dependent delays

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

In: De.arxiv.org - [S.l.]: Arxiv.org, 2020, article 2006.10459, insgesamt 19 Seiten

2019

Peer-reviewed journal article

Adaptive estimation of the sparsity in the Gaussian vector model

Carpentier, Alexandra; Verzelen, Nicolas

In: The annals of statistics - Hayward, Calif.: IMS Business Off., 1973, Bd. 47.2019, 1, S. 93-126

Peer-reviewed journal article

Minimax rate of testing in sparse linear regression

Carpentier, Alexandra; Collier, Oliver; Comminges, Laetitia; Tsybakov, Aleksandr Borisovich; Wang, Yu

In: Automation and remote control - Dordrecht [u.a.]: Springer Science + Business Media B.V, 2001, Bd. 80.2019, 10, S. 1817-1834

Dissertation

Topics in statistical minimax hypothesis testing

Gutzeit, Maurilio; Carpentier, Alexandra

In: Magdeburg, 2019, 99 Seiten, 1 Diagramm, 30 cm[Literaturverzeichnis: Seite 95-99]

Article in conference proceedings

A minimax near-optimal algorithm for adaptive rejection sampling

Achddou, Juliette; Lam, Joseph; Carpentier, Alexandra; Blanchard, Gilles

In: Algorithmic Learning Theory - PMLR; Garivier, Aurélien . - 2019, S. 94-126 - (Proceedings of Machine Learning Research; 98)

Article in conference proceedings

Rotting bandits are no harder than stochastic ones

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

In: The 22nd International Conference on Artificial Intelligence and Statistics - PMLR; Chaudhuri, Kamalika . - 2019, S. 2564-2572 - (Proceedings of Machine Learning Research; 89)

Article in conference proceedings

Active multiple matrix completion with adaptive confidence sets

Locatelli, Andrea; Carpentier, Alexandra; Valko, Michal

In: The 22nd International Conference on Artificial Intelligence and Statistics - PMLR, 2019; Chaudhuri, Kamalika . - 2019, S. 1783-1791 - (Proceedings of Machine Learning Research; 89)[Konferenz: 22nd International Conference on Artificial Intelligence and Statistics, Naha, Okinawa, Japan, 16-18 April 2019]

Non-peer-reviewed journal article

Two-sample hypothesis testing for inhomogeneous random graphs

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

In: De.arxiv.org - [S.l.]: Arxiv.org, 2019, article 1707.00833, insgesamt 54 Seiten

Non-peer-reviewed journal article

Restless dependent bandits with fading memory

Zadorozhnyi, Oleksandr; Blanchard, Gilles; Carpentier, Alexandra

In: De.arxiv.org - [S.l.]: Arxiv.org, 2019, article 1906.10454, insgesamt 30 Seiten

Non-peer-reviewed journal article

Local minimax rates for closeness testing of discrete distributions

Lam, Joseph; Carpentier, Alexandra; Sriperumbudur, Bharath K.

In: De.arxiv.org - [S.l.]: Arxiv.org, 2019, article 1902.01219, insgesamt 62 Seiten

Non-peer-reviewed journal article

Optimal sparsity testing in linear regression model

Carpentier, Alexandra; Verzelen, Nicolas

In: De.arxiv.org - [S.l.]: Arxiv.org, 2019, Artikel 1901.08802, insgesamt 50 Seiten

2018

Book chapter

Constructing confidence sets for the matrix completion problem

Carpentier, Alexandra; Klopp, Olga; Löffler, Matthias

In: Nonparametric statistics: 3nd ISNPS, Avignon, France, June 2016 / Patrice Bertail, Pierre-André Cornillon, Eric Matzner-Lober, Delphine Blanke (Editors): 3nd ISNPS, Avignon, France, June 2016/ Conference of the International Society for Non-Parametric Statistics - Cham, Switzerland: Springer Nature, 2018 . - 2018[Konferenz: 3rd Conference of the International Society for Nonparametric Statistics, ISNPS, Avignon, France, June 11-16, 2016]

Peer-reviewed journal article

Adaptive confidence sets for matrix completion

Carpentier, Alexandra; Klopp, Olga; Löffler, Matthias; Nickl, Richard

In: Bernoulli: official journal of the Bernoulli Society for Mathematical Statistics and Probability - Aarhus, 1995, Vol. 24.2018, 4A, S. 2429-2460

Peer-reviewed journal article

Minimax euclidean separation rates for testing convex hypotheses in R d

Blanchard, Gilles; Carpentier, Alexandra; Gutzeit, Maurilio

In: Electronic journal of statistics - Ithaca, NY: Cornell University Library, 2007, Bd. 12.2018, 2, S. 3713-3735

Peer-reviewed journal article

An iterative hard thresholding estimator for low rank matrix recovery with explicit limiting distribution

Carpentier, Alexandra; Kim, Arlene K. H.

In: Statistica Sinica - Taipei: Statistica Sinica, Institute of Statistical Science, Academia Sinica, 1991, Bd. 28.2018, 3, S. 1371-1393

Article in conference proceedings

Adaptivity to smoothness in X-armed bandits

Locatelli, Andrea; Carpentier, Alexandra

In: Conference on Learning Theory: 6-9 July 2018 : [proceedings] - [Erscheinungsort nicht ermittelbar]: PMLR, 2018 . - 2018, S. 1463-1492 - (Proceedings of machine learning research; volume 75)[Konferenz: 31st Annual Conference on Learning Theory, COLT 2018, Stockholm, 6-9 July 2018]

Article in conference proceedings

An adaptive strategy for active learning with smooth decision boundary

Locatelli, Andrea; Carpentier, Alexandra; Kpotufe, Samory

In: Algorithmic Learning Theory 2018: 7-9 April 2018 : [proceedings] - [Erscheinungsort nicht ermittelbar]: PMLR, 2018 . - 2018, S. 547-571[Konferenz: Algorithmic Learning Theory 2018, Lanzarote, Spain, 7-9 April 2018]

Non-peer-reviewed journal article

A minimax near-optimal algorithm for adaptive rejection sampling

Achdou, Juliette; Lam, Joseph; Carpentier, Alexandra; Blanchard, Gilles

In: De.arxiv.org - [S.l.]: Arxiv.org . - 2018, insges. 32 S.

Non-peer-reviewed journal article

Total variation distance for discretely observed Lévy processes : a Gaussian approximation of the small jumps

Carpentier, Alexandra; Duval, Céline; Mariucci, Ester

In: De.arxiv.org - [S.l.]: Arxiv.org, 1991 . - 2018, insges. 32 S.

Non-peer-reviewed journal article

Estimating minimum effect with outlier selection

Carpentier, Alexandra; Delattre, Sylvain; Roquain, Etienne; Verzelen, Nicolas

In: De.arxiv.org - [S.l.]: Arxiv.org, 1991 . - 2018, insges. 70 S.

Non-peer-reviewed journal article

Minimax rate of testing in sparse linear regression

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

In: De.arxiv.org - [S.l.]: Arxiv.org, 1991 . - 2018, insges. 18 S.

Non-peer-reviewed journal article

Adaptive estimation of the sparsity in the Gaussian vector model

Carpentier, Alexandra; Verzelen, Nicolas

In: De.arxiv.org - [S.l.]: Arxiv.org, 1991 . - 2018, insges. 76 S.

2017

Article in conference proceedings

Two-sample tests for large random graphs using network statistics

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

In: Conference on Learning Theory - [Erscheinungsort nicht ermittelbar]: PMLR, S. 954-977, 2017 - (Proceedings of machine learning research; volume 65)[Konfernz: Conference on Learning Theory, Amsterdam, Netherlands, 7-10 July 2017]

Article in conference proceedings

Adaptivity to noise parameters in nonparametric active learning

Locatelli, Andrea; Carpentier, Alexandra; Kpotufe, Samory

In: Conference on Learning Theory: 7-10 July 2017, Amsterdam, Netherlands : [proceedings] - [Erscheinungsort nicht ermittelbar]: PMLR, S. 1383-1416 - (Proceedings of machine learning research; volume 65); proceedings.mlr.press/v65/locatelli-andrea17a.html[Konfernz: Conference on Learning Theory, Amsterdam, Netherlands, 7-10 July 2017]

Non-peer-reviewed journal article

Adaptivity to noise parameters in nonparametric active learning

Locatelli, Andrea; Carpentier, Alexandra; Kpotufe, Samory

In: De.arxiv.org - [S.l.] : Arxiv.org, insges. 32 S., 2017

Non-peer-reviewed journal article

An iterative hard thresholding estimator for low rank matrix recovery with explicit limiting distribution

Carpentier, Alexandra; Kim, Arlene

In: De.arxiv.org - [S.l.] : Arxiv.org, insges. 40 S., 2017

Non-peer-reviewed journal article

Two-sample tests for large random graphs using network statistics

Ghoshdastidar, Debarghya; Gutzeit, Maurilio; Carpentier, Alexandra; Luxenburg, Ulrike

In: De.arxiv.org - [S.l.]: Arxiv.org, insges. 24 S., 2017

2016

Article in conference proceedings

Pliable rejection sampling

Erraqabi, A.; Valko, M.; Carpentier, A.; Maillard, O.-A.

In: In: 33rd International Conference on Machine Learning, ICML 2016, Bd. 5, S. 3122-3137, 2016

Article in conference proceedings

An optimal algorithm for the Thresholding Bandit Problem

Locatelli, Andrea; Gutzeit, Maurilio; Carpentier, Alexandra

In: International Conference on Machine Learning - [Erscheinungsort nicht ermittelbar]: PMLR, S. 1690-1698, 2016 - (Proceedings of machine learning research; volume 48)[Konferenz: 33rd International Conference on Machine Learning, New York, 20-22 June 2016]

Article in conference proceedings

Tight (lower) bounds for the fixed budget best arm identification bandit problem

Carpentier, Alexandra; Locatelli, Andrea

In: Conference on Learning Theory: 23-26 June 2018, Columbia University, New York, New York, USA : [proceedings] - [Erscheinungsort nicht ermittelbar]: PMLR, S. 590-604, 2016 - (Proceedings of machine learning research; volume 49)[Konferenz: 29th Conference on Learning Theory, COLT, New York, 23-26 June 2018]

Article in conference proceedings

Learning relationships between data obtained independently

Carpentier, Alexandra; Schlüter, Teresa

In: Artificial Intelligence and Statistics: 9-11 May 2016, Cadiz, Spain : [proceedings] - [Erscheinungsort nicht ermittelbar]: PMLR, S. 658-666 - (Proceedings of machine learning research; volume 51); proceedings.mlr.press/v51/carpentier16b.html[Konferenz: 19th International Conference on Artificial Intelligence and Statistics, Cadiz, Spain, 9-11 May 2016]

Article in conference proceedings

An optimal algorithm for the thresholding bandit problem

Locatelli, A.; Gutzeit, M.; Carpentier, A.

In: In: 33rd International Conference on Machine Learning, ICML 2016, Bd. 4, S. 2539-2554, 2016

Article in conference proceedings

Pliable rejection sampling

Erraqabi, Akram; Valko, Michal; Carpentier, Alexandra; Maillard, Odalric

In: International Conference on Machine Learning: 20-22 June 2016, New York, New York, USA : [proceedings] - [Erscheinungsort nicht ermittelbar]: PMLR, S. 21-21-2129 - (Proceedings of machine learning research; volume 48)[Konferenz: 33rd International Conference on Machine Learning, New York, 20-22 June 2016]

2015

Peer-reviewed journal article

Implementable confidence sets in high dimensional regression

Carpentier, A.

In: In: Journal of Machine Learning Research, Bd. 38, S. 120-128, 2015

Peer-reviewed journal article

Adaptive strategy for stratified Monte Carlo sampling

Carpentier, A.; Munos, R.; Antosy, A.

In: In: Journal of Machine Learning Research, Bd. 16, S. 2231-2271, 2015

Peer-reviewed journal article

On signal detection and confidence sets for low rank inference problems

Carpentier, A.; Nickl, R.

In: In: Electronic Journal of Statistics, Bd. 9, 2, S. 2675-2688, 2015

Peer-reviewed journal article

Adaptive and minimax optimal estimation of the tail coefficient

Carpentier, A.; Kim, A.K.H.

In: In: Statistica Sinica, Bd. 25, 3, S. 1133-1144, 2015

Peer-reviewed journal article

Testing the regularity of a smooth signal

Carpentier, A.

In: In: Bernoulli, Bd. 21, 1, S. 465-488, 2015

Article in conference proceedings

Simple regret for infinitely many armed bandits

Carpentier, A.; Valko, M.

In: In: 32nd International Conference on Machine Learning, ICML 2015, Bd. 2, S. 1133-1141, 2015

2014

Peer-reviewed journal article

Adaptive confidence intervals for the tail coefficient in a wide second order class of Pareto models

Carpentier, A.; Kim, A.K.H.

In: In: Electronic Journal of Statistics, 1, S. 2066-2110, 2014

Peer-reviewed journal article

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

Carpentier, A.; Munos, R.

In: In: Theoretical Computer Science, Bd. 558, C, S. 77-106, 2014

Article in conference proceedings

Extreme bandits

Carpentier, A.; Valko, M.

In: In: Advances in Neural Information Processing Systems, Bd. 2, January, S. 1089-1097, 2014

2013

Peer-reviewed journal article

Optimizing P300-speller sequences by RIP-ping groups apart

Thomas, E.; Clerc, M.; Carpentier, A.; Daucea, E.; Devlaminck, D.; Munos, R.

In: In: International IEEE/EMBS Conference on Neural Engineering, NER, S. 1062-1065, 2013

Peer-reviewed journal article

Automatic motor task selection via a bandit algorithm for a brain-controlled button

Fruitet, J.; Carpentier, A.; Munos, R.; Clerc, M.

In: In: Journal of Neural Engineering, Bd. 10, 1, 2013

Peer-reviewed journal article

Honest and adaptive confidence sets in Lp

Carpentier, A.

In: In: Electronic Journal of Statistics, Bd. 7, 1, S. 2875-2923, 2013

Article in conference proceedings

Stochastic simultaneous optimistic optimization

Valko, M.; Carpentier, A.; Munos, R.

In: In: 30th International Conference on Machine Learning, ICML 2013, PART 1, S. 678-686, 2013

Article in conference proceedings

Toward optimal stratification for stratified Monte-Carlo integration

Carpentier, A.; Munos, R.

In: In: 30th International Conference on Machine Learning, ICML 2013, PART 1, S. 687-695, 2013

2012

Book chapter

Minimax number of strata for online stratified sampling given noisy samples

Carpentier, Alexandra; Munos, Rémi

In: Algorithmic Learning Theory / Bshouty , Nader H. - Berlin, Heidelberg : Springer ; Bshouty, Nader H. . - 2012, S. 229-244 - (Lecture notes in computer science; 7568)

Peer-reviewed journal article

Minimax number of strata for online stratified sampling given noisy samples

Carpentier, A.; Munos, R.

In: In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bd. 7568 LNAI, S. 229-244, 2012

Peer-reviewed journal article

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

Carpentier, A.; Munos, R.

In: In: Journal of Machine Learning Research, Bd. 22, S. 190-198, 2012

Article in conference proceedings

Adaptive stratified sampling for Monte-Carlo integration of differentiable functions

Carpentier, A.; Munos, R.

In: In: Advances in Neural Information Processing Systems, Bd. 1, S. 251-259, 2012

Article in conference proceedings

Bandit algorithms boost motor-task selection for brain computer interfaces

Fruitet, J.; Carpentier, A.; Munos, R.; Clerc, M.

In: In: Advances in Neural Information Processing Systems, Bd. 1, S. 449-457, 2012

Article in conference proceedings

Online allocation and homogeneous partitioning for piecewise constant mean-approximation

Maillard, O.A.; Carpentier, A.

In: In: Advances in Neural Information Processing Systems, Bd. 3, S. 1961-1969, 2012

2011

Peer-reviewed journal article

Upper-confidence-bound algorithms for active learning in multi-armed bandits

Carpentier, A.; Lazaric, A.; Ghavamzadeh, M.; Munos, R.; Auer, P.

In: In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bd. 6925 LNAI, S. 189-203, 2011

Article in conference proceedings

Finite-time analysis of stratified sampling for Monte Carlo

Carpentier, A.; Munos, R.

In: In: Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011, 2011

Article in conference proceedings

Sparse recovery with Brownian sensing

Carpentier, A.; Maillard, O.-A.; Munos, R.

In: In: Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011, 2011

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