Quentin Berthet

According to our database, Quentin Berthet authored at least 28 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Implicit Diffusion: Efficient Optimization through Stochastic Sampling.

Pierre Marion, Anna Korba, Peter Bartlett, Mathieu Blondel, Valentin De Bortoli, Arnaud Doucet, Felipe Llinares-López, Courtney Paquette, Quentin Berthet

CoRR, 2024

Decoding-time Realignment of Language Models.

Tianlin Liu, Shangmin Guo, Leonardo Bianco, Daniele Calandriello, Quentin Berthet, Felipe Llinares, Jessica Hoffmann, Lucas Dixon, Michal Valko, Mathieu Blondel

CoRR, 2024

2023

Differentiable Clustering with Perturbed Spanning Forests.

Lawrence Stewart, Francis R. Bach, Felipe Llinares-López, Quentin Berthet

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes.

Marin Ballu, Quentin Berthet

Proceedings of the International Conference on Machine Learning, 2023

Regression as Classification: Influence of Task Formulation on Neural Network Features.

Lawrence Stewart, Francis R. Bach, Quentin Berthet, Jean-Philippe Vert

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

A unified software/hardware scalable architecture for brain-inspired computing based on self-organizing neural models.

Artem R. Muliukov, Laurent Rodriguez, Benoît Miramond, Lyes Khacef, Joachim Schmidt, Quentin Berthet, Andres Upegui

CoRR, 2022

Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm under Parallelization.

Benjamin Dubois-Taine, Francis R. Bach, Quentin Berthet, Adrien B. Taylor

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficient and Modular Implicit Differentiation.

Mathieu Blondel, Quentin Berthet, Marco Cuturi, Roy Frostig, Stephan Hoyer, Felipe Llinares-López, Fabian Pedregosa, Jean-Philippe Vert

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Self-Supervised Learning of Audio Representations From Permutations With Differentiable Ranking.

Andrew N. Carr, Quentin Berthet, Mathieu Blondel, Olivier Teboul, Neil Zeghidour

IEEE Signal Process. Lett., 2021

An Area-Efficient SPHINCS⁺ Post-Quantum Signature Coprocessor.

Quentin Berthet, Andres Upegui, Laurent Gantel, Alexandre Duc, Giulia Traverso

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

2020

Learning with Differentiable Perturbed Optimizers.

Quentin Berthet, Mathieu Blondel, Olivier Teboul, Marco Cuturi, Jean-Philippe Vert, Francis R. Bach

CoRR, 2020

Learning with Differentiable Pertubed Optimizers.

Quentin Berthet, Mathieu Blondel, Olivier Teboul, Marco Cuturi, Jean-Philippe Vert, Francis R. Bach

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Fast Differentiable Sorting and Ranking.

Mathieu Blondel, Olivier Teboul, Quentin Berthet, Josip Djolonga

Proceedings of the 37th International Conference on Machine Learning, 2020

Stochastic Optimization for Regularized Wasserstein Estimators.

Marin Ballu, Quentin Berthet, Francis R. Bach

Proceedings of the 37th International Conference on Machine Learning, 2020

Statistical and Computational Rates in Graph Logistic Regression.

Quentin Berthet, Nicolai Baldin

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Estimation of smooth densities in Wasserstein distance.

Jonathan Weed, Quentin Berthet

Proceedings of the Conference on Learning Theory, 2019

Unsupervised Alignment of Embeddings with Wasserstein Procrustes.

Edouard Grave, Armand Joulin, Quentin Berthet

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Regularized Contextual Bandits.

Xavier Fontaine, Quentin Berthet, Vianney Perchet

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Statistical Windows in Testing for the Initial Distribution of a Reversible Markov Chain.

Quentin Berthet, Varun Kanade

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Detection of Planted Solutions for Flat Satisfiability Problems.

Quentin Berthet, Jordan S. Ellenberg

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2017

Bandit Optimization with Upper-Confidence Frank-Wolfe.

Quentin Berthet, Vianney Perchet

CoRR, 2017

Fast Rates for Bandit Optimization with Upper-Confidence Frank-Wolfe.

Quentin Berthet, Vianney Perchet

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Resource Allocation for Statistical Estimation.

Quentin Berthet, Venkat Chandrasekaran

Proc. IEEE, 2016

Exact recovery in the Ising blockmodel.

Quentin Berthet, Philippe Rigollet, Piyush Srivastava

CoRR, 2016

Average-case hardness of RIP certification.

Tengyao Wang, Quentin Berthet, Yaniv Plan

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2014

Optimal Testing for Planted Satisfiability Problems.

Quentin Berthet

CoRR, 2014

2013

Computational Lower Bounds for Sparse PCA

Quentin Berthet, Philippe Rigollet

CoRR, 2013

Complexity Theoretic Lower Bounds for Sparse Principal Component Detection.

Quentin Berthet, Philippe Rigollet

Proceedings of the COLT 2013, 2013