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Quentin Berthet
Quentin Berthet
Google DeepMind, 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, COLT 2013, 1046-1066, 2013
377*2013
Optimal detection of sparse principal components in high dimension
Q Berthet, P Rigollet
The Annals of Statistics 41 (4), 1780-1815, 2013
3312013
Unsupervised alignment of embeddings with Wasserstein Procrustes
E Grave, A Joulin, Q Berthet
International Conference on Artificial Intelligence and Statistics, AISTATS 2019, 2018
2082018
Fast differentiable sorting and ranking
M Blondel, O Teboul, Q Berthet, J Djolonga
International Conference on Machine Learning, ICML 2020, 950-959, 2020
1902020
Learning with differentiable perturbed optimizers
Q Berthet, M Blondel, O Teboul, M Cuturi, JP Vert, F Bach
Advances in Neural Information Processing Systems, NeurIPS 2020, 2020
1882020
Efficient and modular implicit differentiation
M Blondel, Q Berthet, M Cuturi, R Frostig, S Hoyer, F Llinares-López, ...
Advances in Neural Information Processing Systems, NeurIPS 2022, 2021
1782021
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
1622016
Estimation of smooth densities in Wasserstein distance
J Weed, Q Berthet
Proceedings of the Thirty-Second Conference on Learning Theory, COLT 2019, 2019
692019
DeepConsensus improves the accuracy of sequences with a gap-aware sequence transformer
G Baid, DE Cook, K Shafin, T Yun, F Llinares-López, Q Berthet, ...
Nature Biotechnology 41 (2), 232-238, 2023
67*2023
Exact recovery in the Ising blockmodel
Q Berthet, P Rigollet, P Srivastava
The Annals of Statistics 47 (4), 1805 - 1834, 2016
562016
Average-case hardness of RIP certification
T Wang, Q Berthet, Y Plan
Advances in Neural Information Processing Systems, NeurIPS 2016, 2016
462016
Fast rates for bandit optimization with Upper-Confidence Frank-Wolfe
Q Berthet, V Perchet
Advances in Neural Information Processing Systems, NeurIPS 2017, 2017
382017
Deep embedding and alignment of protein sequences
F Llinares-López, Q Berthet, M Blondel, O Teboul, JP Vert
Nature methods 20 (1), 104-111, 2023
272023
Statistical and computational rates in graph logistic regression
Q Berthet, N Baldin
International Conference on Artificial Intelligence and Statistics, AISTATS …, 2020
26*2020
Self-supervised learning of audio representations from permutations with differentiable ranking
AN Carr, Q Berthet, M Blondel, O Teboul, N Zeghidour
IEEE Signal Processing Letters 28, 708-712, 2021
252021
Noisy adaptive group testing using Bayesian sequential experimental design
M Cuturi, O Teboul, Q Berthet, A Doucet, JP Vert
arXiv preprint arXiv:2004.12508, 2020
232020
Minimax estimation of smooth densities in Wasserstein distance
J Niles-Weed, Q Berthet
The Annals of Statistics 50 (3), 1519-1540, 2022
222022
Stochastic optimization for regularized Wasserstein estimators
M Ballu, Q Berthet, F Bach
International Conference on Machine Learning, ICML 2020, 602-612, 2020
202020
Resource allocation for statistical estimation
Q Berthet, V Chandrasekaran
Proceedings of the IEEE 104 (1), 111-125, 2015
152015
Regularized contextual bandits
X Fontaine, Q Berthet, V Perchet
International Conference on Artificial Intelligence and Statistics, AISTATS 2019, 2018
132018
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