Quentin Berthet
Quentin Berthet
Google Research, Brain team Paris
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Complexity theoretic lower bounds for sparse principal component detection
Q Berthet, P Rigollet
Conference on Learning Theory, 1046-1066, 2013
268*2013
Optimal detection of sparse principal components in high dimension
Q Berthet, P Rigollet
The Annals of Statistics 41 (4), 1780-1815, 2013
2382013
Statistical and computational trade-offs in estimation of sparse principal components
T Wang, Q Berthet, RJ Samworth
The Annals of Statistics 44 (5), 1896-1930, 2016
972016
Unsupervised alignment of embeddings with Wasserstein Procrustes
E Grave, A Joulin, Q Berthet
International Conference on Artificial Intelligence and Statistics, AISTATS 2019, 2018
652018
Average-case hardness of RIP certification
T Wang, Q Berthet, Y Plan
Advances in Neural Information Processing Systems, NeurIPS 2016, 2016
292016
Exact recovery in the Ising blockmodel
Q Berthet, P Rigollet, P Srivastava
The Annals of Statistics 47 (4), 1805 - 1834, 2016
272016
Fast rates for bandit optimization with Upper-Confidence Frank-Wolfe
Q Berthet, V Perchet
Advances in Neural Information Processing Systems, NeurIPS 2017, 2017
182017
Estimation of smooth densities in Wasserstein distance
J Weed, Q Berthet
Proceedings of the Thirty-Second Conference on Learning Theory, COLT 2019, 2019
172019
Resource allocation for statistical estimation
Q Berthet, V Chandrasekaran
Proceedings of the IEEE 104 (1), 111-125, 2015
132015
Optimal link prediction with matrix logistic regression
N Baldin, Q Berthet
arXiv preprint arXiv:1803.07054, 2018
122018
Learning with differentiable perturbed optimizers
Q Berthet, M Blondel, O Teboul, M Cuturi, JP Vert, F Bach
arXiv preprint arXiv:2002.08676, 2020
92020
Detection of planted solutions for flat satisfiability problems
Q Berthet, JS Ellenberg
International Conference on Artificial Intelligence and Statistics, AISTATS 2019, 2015
9*2015
Optimal testing for planted satisfiability problems
Q Berthet
Electronic Journal of Statistics 9 (1), 298-317, 2015
72015
Fast Differentiable Sorting and Ranking
M Blondel, O Teboul, Q Berthet, J Djolonga
arXiv preprint arXiv:2002.08871, 2020
52020
Stochastic Optimization for Regularized Wasserstein Estimators
M Ballu, Q Berthet, F Bach
arXiv preprint arXiv:2002.08695, 2020
42020
Regularized contextual bandits
X Fontaine, Q Berthet, V Perchet
International Conference on Artificial Intelligence and Statistics, AISTATS 2019, 2018
42018
Statistical windows in testing for the initial distribution of a reversible Markov chain
Q Berthet, V Kanade
International Conference on Artificial Intelligence and Statistics, AISTATS 2019, 2018
42018
Statistical and Computational Rates in Graph Logistic Regression
Q Berthet, N Baldin
International Conference on Artificial Intelligence and Statistics, 2719-2730, 2020
2020
Stochastic Optimization for Regularized Wasserstein Estimators
F Bach, M Ballu, Q Berthet
2020
Statistical and Computational Rates in Graph Logistic Regression
N Baldin, Q Berthet
2020
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Articles 1–20