Статті для всіх - Joseph SalmonДокладніше
Недоступно ніде: 1
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
Мандати: European Commission
Доступно в інших місцях: 36
Gap Safe screening rules for sparsity enforcing penalties
E Ndiaye, O Fercoq, A Gramfort, J Salmon
Journal of Machine Learning Research 18, 1-33, 2017
Мандати: US National Institutes of Health, European Commission
Celer: a fast solver for the lasso with dual extrapolation
M Massias, A Gramfort, J Salmon
International Conference on Machine Learning, 3315-3324, 2018
Мандати: European Commission
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
Мандати: European Commission, Agence Nationale de la Recherche
GAP Safe Screening Rules for Sparse-Group-Lasso
E Ndiaye, O Fercoq, A Gramfort, J Salmon
NIPS, 2016
Мандати: US National Institutes of Health, European Commission
Optimal mini-batch and step sizes for saga
N Gazagnadou, R Gower, J Salmon
International conference on machine learning, 2142-2150, 2019
Мандати: Agence Nationale de la Recherche
Benchopt: Reproducible, efficient and collaborative optimization benchmarks
T Moreau, M Massias, A Gramfort, P Ablin, PA Bannier, B Charlier, ...
arXiv preprint arXiv:2206.13424, 2022
Мандати: Agence Nationale de la Recherche
Pl@ntNet-300K: a plant image dataset with high label ambiguity and a long-tailed distribution
C Garcin, A Joly, P Bonnet, JC Lombardo, A Affouard, M Chouet, ...
Proceedings of the Neural Information Processing Systems Track on Datasets …, 2021
Мандати: European Commission, Agence Nationale de la Recherche
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, 1-43, 2022
Мандати: European Commission, Agence Nationale de la Recherche
Generalized Concomitant Multi-Task Lasso for sparse multimodal regression
M Massias, O Fercoq, A Gramfort, J Salmon
International Conference on Artificial Intelligence and Statistics, 2018
Мандати: European Commission
Dual extrapolation for sparse glms
M Massias, S Vaiter, A Gramfort, J Salmon
Journal of Machine Learning Research 21 (234), 1-33, 2020
Мандати: European Commission, Agence Nationale de la Recherche
LassoBench: A high-dimensional hyperparameter optimization benchmark suite for lasso
K Šehić, A Gramfort, J Salmon, L Nardi
International Conference on Automated Machine Learning, 2/1-24, 2022
Мандати: Knut and Alice Wallenberg Foundation, Swedish Research Council, Agence …
Screening rules for lasso with non-convex sparse regularizers
A Rakotomamonjy, G Gasso, J Salmon
International Conference on Machine Learning, 5341-5350, 2019
Мандати: Agence Nationale de la Recherche
A hierarchical Bayesian perspective on majorization-minimization for non-convex sparse regression: application to M/EEG source imaging
Y Bekhti, F Lucka, J Salmon, A Gramfort
Inverse Problems 34 (8), 085010, 2018
Мандати: Netherlands Organisation for Scientific Research, UK Engineering and …
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
Мандати: European Commission
Differentially private coordinate descent for composite empirical risk minimization
P Mangold, A Bellet, J Salmon, M Tommasi
International Conference on Machine Learning, 14948-14978, 2022
Мандати: Agence Nationale de la Recherche
Statistical control for spatio-temporal meg/eeg source imaging with desparsified mutli-task lasso
JA Chevalier, J Salmon, A Gramfort, B Thirion
Advances in Neural Information Processing Systems 33, 1759-1770, 2020
Мандати: European Commission, Agence Nationale de la Recherche
Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification
C Garcin, M Servajean, A Joly, J Salmon
ICML 162, 7208--7222, 2022
Мандати: Agence Nationale de la Recherche
Decoding with confidence: Statistical control on decoder maps
JA Chevalier, TB Nguyen, J Salmon, G Varoquaux, B Thirion
NeuroImage 234, 117921, 2021
Мандати: US National Institutes of Health, European Commission, Agence Nationale de …
Convergent working set algorithm for lasso with non-convex sparse regularizers
A Rakotomamonjy, R Flamary, J Salmon, G Gasso
International Conference on Artificial Intelligence and Statistics, 5196-5211, 2022
Мандати: Agence Nationale de la Recherche
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