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Quentin Bertrand
Quentin Bertrand
Mila
Adresă de e-mail confirmată pe mila.quebec - Pagina de pornire
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Implicit differentiation of lasso-type models for hyperparameter optimization
Q Bertrand, Q Klopfenstein, M Blondel, S Vaiter, A Gramfort, J Salmon
International Conference on Machine Learning, 810-821, 2020
692020
Implicit differentiation for fast hyperparameter selection in non-smooth convex learning
Q Bertrand, Q Klopfenstein, M Massias, M Blondel, S Vaiter, A Gramfort, ...
Journal of Machine Learning Research 23 (149), 1-43, 2022
322022
Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning
S Lachapelle, T Deleu, D Mahajan, I Mitliagkas, Y Bengio, ...
ICML 2023, 2023
242023
Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso
Q Bertrand, M Massias, A Gramfort, J Salmon
Advances in Neural Information Processing Systems 32, 2019
222019
Anderson acceleration of coordinate descent
Q Bertrand, M Massias
International Conference on Artificial Intelligence and Statistics, 1288-1296, 2021
172021
Beyond L1: Faster and Better Sparse Models with skglm
Q Bertrand, Q Klopfenstein, PA Bannier, G Gidel, M Massias
Advances in Neural Information Processing Systems, 2022
142022
On the stability of iterative retraining of generative models on their own data
Q Bertrand, AJ Bose, A Duplessis, M Jiralerspong, G Gidel
ICLR 2024, 2023
122023
On the Limitations of Elo: Real-World Games, are Transitive, not Additive
Q Bertrand, WM Czarnecki, G Gidel
AISTATS 2023, 2023
102023
Local linear convergence of proximal coordinate descent algorithm
Q Klopfenstein, Q Bertrand, A Gramfort, J Salmon, S Vaiter
Optimization Letters 18 (1), 135-154, 2024
8*2024
Support recovery and sup-norm convergence rates for sparse pivotal estimation
M Massias, Q Bertrand, A Gramfort, J Salmon
International Conference on Artificial Intelligence and Statistics, 2655-2665, 2020
8*2020
The Curse of Unrolling: Rate of Differentiating Through Optimization
D Scieur, Q Bertrand, G Gidel, F Pedregosa
Advances in Neural Information Processing Systems, 2022
72022
Dimension improvement in Dhar's refutation of the Eden conjecture
Q Bertrand, J Pertinand
Physics Letters A 382 (11), 761-765, 2018
42018
Electromagnetic neural source imaging under sparsity constraints with SURE-based hyperparameter tuning
PA Bannier, Q Bertrand, J Salmon, A Gramfort
Medical Imaging Meets NeurIPS Workshop, 2021
12021
Hyperparameter selection for high dimensional sparse learning: application to neuroimaging
Q Bertrand
Université Paris-Saclay, 2021
12021
Anytime Exact Belief Propagation
G Azevedo Ferreira, Q Bertrand, C Maussion, R de Salvo Braz
AAAI-17 Workshop on Symbolic Inference and Optimization (SymInfOpt-17), 2017
1*2017
Q-learners Can Provably Collude in the Iterated Prisoner's Dilemma
Q Bertrand, J Duque, E Calvano, G Gidel
arXiv preprint arXiv:2312.08484, 2023
2023
Omega: Optimistic EMA Gradients
J Ramirez, R Sukumaran, Q Bertrand, G Gidel
ICML 2023 LatinX in AI Workshop, 2023
2023
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