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Quentin Bertrand
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2020 – today
- 2024
- [j2]Quentin Klopfenstein
, Quentin Bertrand, Alexandre Gramfort, Joseph Salmon, Samuel Vaiter:
Local linear convergence of proximal coordinate descent algorithm. Optim. Lett. 18(1): 135-154 (2024) - [c9]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 - [i14]Damien Ferbach, Quentin Bertrand, Avishek Joey Bose, Gauthier Gidel:
Self-Consuming Generative Models with Curated Data Provably Optimize Human Preferences. CoRR abs/2407.09499 (2024) - 2023
- [c8]Quentin Bertrand, Wojciech Marian Czarnecki, Gauthier Gidel:
On the Limitations of the Elo, Real-World Games are Transitive, not Additive. AISTATS 2023: 2905-2921 - [c7]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: 18171-18206 - [i13]Juan Ramirez, Rohan Sukumaran, Quentin Bertrand, Gauthier Gidel:
Omega: Optimistic EMA Gradients. CoRR abs/2306.07905 (2023) - [i12]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 abs/2310.00429 (2023) - [i11]Quentin Bertrand, Juan Duque, Emilio Calvano, Gauthier Gidel:
Q-learners Can Provably Collude in the Iterated Prisoner's Dilemma. CoRR abs/2312.08484 (2023) - 2022
- [j1]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: 149:1-149:43 (2022) - [c6]Quentin Bertrand, Quentin Klopfenstein, Pierre-Antoine Bannier, Gauthier Gidel, Mathurin Massias:
Beyond L1: Faster and Better Sparse Models with skglm. NeurIPS 2022 - [c5]Damien Scieur, Gauthier Gidel, Quentin Bertrand, Fabian Pedregosa:
The Curse of Unrolling: Rate of Differentiating Through Optimization. NeurIPS 2022 - [i10]Quentin Bertrand, Quentin Klopfenstein, Pierre-Antoine Bannier, Gauthier Gidel, Mathurin Massias:
Beyond L1: Faster and Better Sparse Models with skglm. CoRR abs/2204.07826 (2022) - [i9]Quentin Bertrand, Wojciech Marian Czarnecki, Gauthier Gidel:
On the Limitations of Elo: Real-World Games, are Transitive, not Additive. CoRR abs/2206.12301 (2022) - [i8]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 abs/2211.14666 (2022) - 2021
- [c4]Quentin Bertrand, Mathurin Massias:
Anderson acceleration of coordinate descent. AISTATS 2021: 1288-1296 - [i7]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 abs/2105.01637 (2021) - 2020
- [c3]Mathurin Massias, Quentin Bertrand, Alexandre Gramfort, Joseph Salmon:
Support recovery and sup-norm convergence rates for sparse pivotal estimation. AISTATS 2020: 2655-2665 - [c2]Quentin Bertrand, Quentin Klopfenstein, Mathieu Blondel, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon:
Implicit differentiation of Lasso-type models for hyperparameter optimization. ICML 2020: 810-821 - [i6]Mathurin Massias, Quentin Bertrand, Alexandre Gramfort, Joseph Salmon:
Support recovery and sup-norm convergence rates for sparse pivotal estimation. CoRR abs/2001.05401 (2020) - [i5]Quentin Bertrand, Quentin Klopfenstein, Mathieu Blondel, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon:
Implicit differentiation of Lasso-type models for hyperparameter optimization. CoRR abs/2002.08943 (2020) - [i4]Quentin Klopfenstein, Quentin Bertrand, Alexandre Gramfort, Joseph Salmon, Samuel Vaiter:
Model identification and local linear convergence of coordinate descent. CoRR abs/2010.11825 (2020) - [i3]Quentin Bertrand, Mathurin Massias:
Anderson acceleration of coordinate descent. CoRR abs/2011.10065 (2020)
2010 – 2019
- 2019
- [c1]Quentin Bertrand, Mathurin Massias, Alexandre Gramfort, Joseph Salmon:
Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso. NeurIPS 2019: 3961-3972 - [i2]Quentin Bertrand, Mathurin Massias, Alexandre Gramfort, Joseph Salmon:
Concomitant Lasso with Repetitions (CLaR): beyond averaging multiple realizations of heteroscedastic noise. CoRR abs/1902.02509 (2019) - 2017
- [i1]Gabriel Azevedo Ferreira, Quentin Bertrand, Charles Maussion, Rodrigo de Salvo Braz:
Anytime Exact Belief Propagation. CoRR abs/1707.08704 (2017)
Coauthor Index
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