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Full list of published work and preprints. Also available on [Google Scholar] - [arxiv] - [biorxiv]


Implicit Diffusion: Efficient Optimization through Stochastic Sampling
P. Marion, A. Korba, P. Bartlett, M. Blondel, V. De Bortoli, A. Doucet, F. Llinares-López, C. Paquette, Q. Berthet
preprint, 2024
[article]

Decoding-time Realignment of Language Models
T. Liu, S. Guo, L. Bianco, D. Calandriello, Q. Berthet, F. Llinares, J. Hoffmann, L. Dixon, M. Valko, M. Blondel
ICML 2024, Spotlight presentation
[article]

Differentiable Clustering with Perturbed Spanning Forests
L. Stewart, F. Bach, F. Llinares-López, Q. Berthet
NeurIPS 2023
[article]

Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes
M. Ballu, Q. Berthet
ICML 2023
[article]

Regression as Classification: Influence of Task Formulation on Neural Network Features
L. Stewart, F. Bach, Q. Berthet, J.-P. Vert
AISTATS 2023
[article]

Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm under Parallelization
B. Dubois-Taine, F. Bach, Q. Berthet, A. Taylor
NeurIPS 2022
[article]

Efficient and Modular Implicit Differentiation
M. Blondel, Q. Berthet, M. Cuturi, R. Frostig, S. Hoyer, F. Llinares-López, F. Pedregosa, J.-P. Vert
NeurIPS 2022
[article]

DeepConsensus improves the accuracy of sequences with a gap-aware sequence transformer
G. Baid, D. E. Cook, K. Shafin, T. Yun, F. Llinares-López, Q. Berthet, A. Belyaeva, A. Töpfer, A. M. Wenger, W. J. Rowell, H. Yang, A. Kolesnikov, W. Ammar, J.-P. Vert, A. Vaswani, C. Y. McLean, M. Nattestad, P.-C. Chang, A. Carroll
Nature Biotechnology, 2022
[article]

Deep embedding and alignment of protein sequences
F. Llinares-López, Q. Berthet, M. Blondel, O. Teboul, J.-P. Vert
Nature Methods, 2022
[article]

Self-Supervised Learning of Audio Representations, Permutations with Differentiable Ranking
A.N. Carr, Q. Berthet, M. Blondel, O. Teboul, N. Zeghidour
IEEE Signal Processing Letters, 28, 708-712. 2021
[PDF]

Noisy Adaptive Group Testing using Bayesian Sequential Experimental Design
M. Cuturi, O. Teboul, Q. Berthet, A. Doucet, J-P. Vert
Preprint, 2020
[PDF]

Learning with Differentiable Perturbed Optimizers
Q. Berthet, M. Blondel, O. Teboul, M. Cuturi, J-P. Vert, F. Bach
NeurIPS 2020, [Video]
[PDF]

Stochastic Optimization for Regularized Wasserstein Estimators
M. Ballu, Q. Berthet, F. Bach
ICML 2020
[PDF]

Fast Differentiable Sorting and Ranking
M. Blondel, O. Teboul, Q. Berthet, J. Djolonga
ICML 2020
[PDF]

Statistical and Computational Rates in Graph Logistic Regression
N. Baldin, Q. Berthet
AISTATS 2020
initial version - [PDF]

Estimation of smooth densities in Wasserstein distance
J. Weed, Q. Berthet
COLT 2019 - extended version at Annals of Statistics, 50 (3), 1519-1540 (2022)
[PDF]

Regularized Contextual Bandits
X. Fontaine, Q. Berthet, V. Perchet
AISTATS 2019
[PDF]

Statistical Windows in Testing for the Initial Distribution of a Reversible Markov Chain
Q. Berthet, V. Kanade
AISTATS 2019
[PDF]

Unsupervised Alignment of Embeddings with Wasserstein Procrustes
E. Grave, A. Joulin, Q. Berthet
AISTATS 2019
[PDF]

Detection of Planted Solutions for Flat Satisfiability Problems
Q. Berthet, J. S. Ellenberg
AISTATS 2019
[PDF]

Exact recovery in the Ising blockmodel
Q. Berthet, P. Rigollet, P. Srivastava
Annals of Statistics, 47 (4), 1805-1834 (2019)
[PDF]

Fast Rates for Bandit Optimization with Upper-Confidence Frank-Wolfe
Q. Berthet, V. Perchet
NeurIPS 2017, Spotlight presentation
[PDF]

Average-case Hardness of RIP Certification
T. Wang, Q. Berthet, Y. Plan
NeurIPS 2016
[PDF]

Resource Allocation for Statistical Estimation
Q. Berthet, V. Chandrasekaran
Proceedings of the IEEE, 104 (1), 111-125. 2016
[PDF]

Statistical and Computational Trade-offs in Estimation of Sparse Principal Components
T. Wang, Q. Berthet, R. J. Samworth
Annals of Statistics, 44 (5), 1896-1930. 2016 [Video]
[PDF]

Optimal Testing for Planted Satisfiability Problems
Q. Berthet
Electronic Journal of Statistics, 9, 298-317. 2015
[PDF]

Computational Lower Bounds for Sparse PCA
Q. Berthet, P. Rigollet
Extended version, Best Paper at COLT 2013, [Video]
[PDF]

Optimal Detection of Sparse Principal Components in High Dimension
Q. Berthet, P. Rigollet
Annals of Statistics, 41(4), 1780-1815. 2013
[PDF]