Quentin Bertrand

29 papers A* 8A 3Journal 18
YearRankTypeTitle / Venue / Authors
2025 J jnl
On the Closed-Form of Flow Matching: Generalization Does Not Arise from Target Stochasticity.
CoRR
Quentin Bertrand, Anne Gagneux, Mathurin Massias, Rémi Emonet
2025 A* conf
Self-Play Q-Learners Can Provably Collude in the Iterated Prisoner's Dilemma.
ICML
Quentin Bertrand, Juan Agustin Duque, Emilio Calvano, Gauthier Gidel
2025 J jnl
skglm: Improving scikit-learn for Regularized Generalized Linear Models.
J. Mach. Learn. Res.
Badr Moufad, Pierre-Antoine Bannier, Quentin Bertrand, Quentin Klopfenstein, Mathurin Massias
2024 J jnl
Local linear convergence of proximal coordinate descent algorithm.
Optim. Lett.
Quentin Klopfenstein, Quentin Bertrand, Alexandre Gramfort, Joseph Salmon, Samuel Vaiter
2024 A* conf
On the Stability of Iterative Retraining of Generative Models on their own Data.
ICLR
Quentin Bertrand, Avishek Joey Bose, Alexandre Duplessis, Marco Jiralerspong, Gauthier Gidel
2024 A* conf
Self-Consuming Generative Models with Curated Data Provably Optimize Human Preferences.
NeurIPS
Damien Ferbach, Quentin Bertrand, Avishek Joey Bose, Gauthier Gidel
2024 J jnl
Self-Consuming Generative Models with Curated Data Provably Optimize Human Preferences.
CoRR
Damien Ferbach, Quentin Bertrand, Avishek Joey Bose, Gauthier Gidel
2023 J jnl
Omega: Optimistic EMA Gradients.
CoRR
Juan Ramirez, Rohan Sukumaran, Quentin Bertrand, Gauthier Gidel
2023 A conf
On the Limitations of the Elo, Real-World Games are Transitive, not Additive.
AISTATS
Quentin Bertrand, Wojciech Marian Czarnecki, Gauthier Gidel
2023 J jnl
On the Stability of Iterative Retraining of Generative Models on their own Data.
CoRR
Quentin Bertrand, Avishek Joey Bose, Alexandre Duplessis, Marco Jiralerspong, Gauthier Gidel
2023 J jnl
Q-learners Can Provably Collude in the Iterated Prisoner's Dilemma.
CoRR
Quentin Bertrand, Juan Agustin Duque, Emilio Calvano, Gauthier Gidel
2023 A* conf
Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning.
ICML
Sébastien Lachapelle, Tristan Deleu, Divyat Mahajan, Ioannis Mitliagkas, Yoshua Bengio, Simon Lacoste-Julien, Quentin Bertrand
2022 A* conf
Beyond L1: Faster and Better Sparse Models with skglm.
NeurIPS
Quentin Bertrand, Quentin Klopfenstein, Pierre-Antoine Bannier, Gauthier Gidel, Mathurin Massias
2022 J jnl
Beyond L1: Faster and Better Sparse Models with skglm.
CoRR
Quentin Bertrand, Quentin Klopfenstein, Pierre-Antoine Bannier, Gauthier Gidel, Mathurin Massias
2022 J jnl
Implicit Differentiation for Fast Hyperparameter Selection in Non-Smooth Convex Learning.
J. Mach. Learn. Res.
Quentin Bertrand, Quentin Klopfenstein, Mathurin Massias, Mathieu Blondel, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon
2022 J jnl
On the Limitations of Elo: Real-World Games, are Transitive, not Additive.
CoRR
Quentin Bertrand, Wojciech Marian Czarnecki, Gauthier Gidel
2022 J jnl
Synergies Between Disentanglement and Sparsity: a Multi-Task Learning Perspective.
CoRR
Sébastien Lachapelle, Tristan Deleu, Divyat Mahajan, Ioannis Mitliagkas, Yoshua Bengio, Simon Lacoste-Julien, Quentin Bertrand
2022 A* conf
The Curse of Unrolling: Rate of Differentiating Through Optimization.
NeurIPS
Damien Scieur, Gauthier Gidel, Quentin Bertrand, Fabian Pedregosa
2021 A conf
Anderson acceleration of coordinate descent.
AISTATS
Quentin Bertrand, Mathurin Massias
2021 J jnl
Implicit differentiation for fast hyperparameter selection in non-smooth convex learning.
CoRR
Quentin Bertrand, Quentin Klopfenstein, Mathurin Massias, Mathieu Blondel, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon
2020 J jnl
Anderson acceleration of coordinate descent.
CoRR
Quentin Bertrand, Mathurin Massias
2020 A* conf
Implicit differentiation of Lasso-type models for hyperparameter optimization.
ICML
Quentin Bertrand, Quentin Klopfenstein, Mathieu Blondel, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon
2020 J jnl
Implicit differentiation of Lasso-type models for hyperparameter optimization.
CoRR
Quentin Bertrand, Quentin Klopfenstein, Mathieu Blondel, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon
2020 J jnl
Model identification and local linear convergence of coordinate descent.
CoRR
Quentin Klopfenstein, Quentin Bertrand, Alexandre Gramfort, Joseph Salmon, Samuel Vaiter
2020 A conf
Support recovery and sup-norm convergence rates for sparse pivotal estimation.
AISTATS
Mathurin Massias, Quentin Bertrand, Alexandre Gramfort, Joseph Salmon
2020 J jnl
Support recovery and sup-norm convergence rates for sparse pivotal estimation.
CoRR
Mathurin Massias, Quentin Bertrand, Alexandre Gramfort, Joseph Salmon
2019 J jnl
Concomitant Lasso with Repetitions (CLaR): beyond averaging multiple realizations of heteroscedastic noise.
CoRR
Quentin Bertrand, Mathurin Massias, Alexandre Gramfort, Joseph Salmon
2019 A* conf
Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso.
NeurIPS
Quentin Bertrand, Mathurin Massias, Alexandre Gramfort, Joseph Salmon
2017 J jnl
Anytime Exact Belief Propagation.
CoRR
Gabriel Azevedo Ferreira, Quentin Bertrand, Charles Maussion, Rodrigo de Salvo Braz