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Quentin Bertrand
Quentin Bertrand
Mila
Verified email at mila.quebec - Homepage
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Cited by
Year
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
412020
Cyclic nucleotide-induced helical structure activates a TIR immune effector
G Hogrel, A Guild, S Graham, H Rickman, S Grüschow, Q Bertrand, ...
Nature 608 (7924), 808-812, 2022
172022
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
162019
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
122022
Anderson acceleration of coordinate descent
Q Bertrand, M Massias
International Conference on Artificial Intelligence and Statistics, 1288-1296, 2021
82021
Model identification and local linear convergence of coordinate descent
Q Klopfenstein, Q Bertrand, A Gramfort, J Salmon, S Vaiter
Optimization Letters, 2023
52023
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
5*2020
Dimension improvement in Dhar's refutation of the Eden conjecture
Q Bertrand, J Pertinand
Physics Letters A 382 (11), 761-765, 2018
42018
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
22022
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
On the Limitations of Elo: Real-World Games, are Transitive, not Additive
Q Bertrand, WM Czarnecki, G Gidel
AISTATS 2023, 2023
2023
Synergies Between Disentanglement and Sparsity: a Multi-Task Learning Perspective
S Lachapelle, T Deleu, D Mahajan, I Mitliagkas, Y Bengio, ...
arXiv preprint arXiv:2211.14666, 2022
2022
The Curse of Unrolling: Rate of Differentiating Through Optimization
D Scieur, Q Bertrand, G Gidel, F Pedregosa
Advances in Neural Information Processing Systems, 2022
2022
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
2022
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
2021
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