Quentin Bertrand

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 25

Top Topics

Multiple Related Tasks

Belief Propagation

Top Venues

Publications

Quentin Bertrand, Avishek Joey Bose, Alexandre Duplessis, Marco Jiralerspong, Gauthier Gidel
On the Stability of Iterative Retraining of Generative Models on their own Data. ICLR (2024)
Quentin Klopfenstein, Quentin Bertrand, Alexandre Gramfort, Joseph Salmon, Samuel Vaiter
Local linear convergence of proximal coordinate descent algorithm. Optim. Lett. 18 (1) (2024)
Damien Ferbach, Quentin Bertrand, Avishek Joey Bose, Gauthier Gidel
Self-Consuming Generative Models with Curated Data Provably Optimize Human Preferences. CoRR (2024)
Juan Ramirez, Rohan Sukumaran, Quentin Bertrand, Gauthier Gidel
Omega: Optimistic EMA Gradients. CoRR (2023)
Quentin Bertrand, Avishek Joey Bose, Alexandre Duplessis, Marco Jiralerspong, Gauthier Gidel
On the Stability of Iterative Retraining of Generative Models on their own Data. CoRR (2023)
Quentin Bertrand, Wojciech Marian Czarnecki, Gauthier Gidel
On the Limitations of the Elo, Real-World Games are Transitive, not Additive. AISTATS (2023)
Sébastien Lachapelle, Tristan Deleu, Divyat Mahajan, Ioannis Mitliagkas, Yoshua Bengio, Simon Lacoste-Julien, Quentin Bertrand
Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning. ICML (2023)
Quentin Bertrand, Juan Duque, Emilio Calvano, Gauthier Gidel
Q-learners Can Provably Collude in the Iterated Prisoner's Dilemma. CoRR (2023)
Quentin Bertrand, Quentin Klopfenstein, Pierre-Antoine Bannier, Gauthier Gidel, Mathurin Massias
Beyond L1: Faster and Better Sparse Models with skglm. CoRR (2022)
Sébastien Lachapelle, Tristan Deleu, Divyat Mahajan, Ioannis Mitliagkas, Yoshua Bengio, Simon Lacoste-Julien, Quentin Bertrand
Synergies Between Disentanglement and Sparsity: a Multi-Task Learning Perspective. CoRR (2022)
Quentin Bertrand, Quentin Klopfenstein, Mathurin Massias, Mathieu Blondel, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon
Implicit Differentiation for Fast Hyperparameter Selection in Non-Smooth Convex Learning. J. Mach. Learn. Res. 23 (2022)
Quentin Bertrand, Quentin Klopfenstein, Pierre-Antoine Bannier, Gauthier Gidel, Mathurin Massias
Beyond L1: Faster and Better Sparse Models with skglm. NeurIPS (2022)
Damien Scieur, Gauthier Gidel, Quentin Bertrand, Fabian Pedregosa
The Curse of Unrolling: Rate of Differentiating Through Optimization. NeurIPS (2022)
Quentin Bertrand, Wojciech Marian Czarnecki, Gauthier Gidel
On the Limitations of Elo: Real-World Games, are Transitive, not Additive. CoRR (2022)
Quentin Bertrand, Mathurin Massias
Anderson acceleration of coordinate descent. AISTATS (2021)
Quentin Bertrand, Quentin Klopfenstein, Mathurin Massias, Mathieu Blondel, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon
Implicit differentiation for fast hyperparameter selection in non-smooth convex learning. CoRR (2021)
Quentin Bertrand, Quentin Klopfenstein, Mathieu Blondel, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon
Implicit differentiation of Lasso-type models for hyperparameter optimization. CoRR (2020)
Quentin Bertrand, Quentin Klopfenstein, Mathieu Blondel, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon
Implicit differentiation of Lasso-type models for hyperparameter optimization. ICML (2020)
Quentin Bertrand, Mathurin Massias
Anderson acceleration of coordinate descent. CoRR (2020)
Mathurin Massias, Quentin Bertrand, Alexandre Gramfort, Joseph Salmon
Support recovery and sup-norm convergence rates for sparse pivotal estimation. CoRR (2020)
Quentin Klopfenstein, Quentin Bertrand, Alexandre Gramfort, Joseph Salmon, Samuel Vaiter
Model identification and local linear convergence of coordinate descent. CoRR (2020)
Mathurin Massias, Quentin Bertrand, Alexandre Gramfort, Joseph Salmon
Support recovery and sup-norm convergence rates for sparse pivotal estimation. AISTATS (2020)
Quentin Bertrand, Mathurin Massias, Alexandre Gramfort, Joseph Salmon
Concomitant Lasso with Repetitions (CLaR): beyond averaging multiple realizations of heteroscedastic noise. CoRR (2019)
Quentin Bertrand, Mathurin Massias, Alexandre Gramfort, Joseph Salmon
Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso. NeurIPS (2019)
Gabriel Azevedo Ferreira, Quentin Bertrand, Charles Maussion, Rodrigo de Salvo Braz
Anytime Exact Belief Propagation. CoRR (2017)