Samuel Vaiter
Samuel Vaiter
CNRS researcher at IMB, Dijon, France
Vahvistettu sähköpostiosoite verkkotunnuksessa u-bourgogne.fr - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Robust sparse analysis regularization
S Vaiter, G Peyré, C Dossal, J Fadili
IEEE Transactions on Information Theory 59 (4), 2001–2016, 2013
1352013
Stein Unbiased GrAdient estimator of the Risk (SUGAR) for multiple parameter selection
CA Deledalle, S Vaiter, J Fadili, G Peyré
SIAM Journal on Imaging Sciences 7 (4), 2448-2487, 2014
952014
Model consistency of partly smooth regularizers
S Vaiter, G Peyré, J Fadili
IEEE Transactions on Information Theory 64 (3), 1725-1737, 2017
442017
Model selection with low complexity priors
S Vaiter, M Golbabaee, J Fadili, G Peyré
Information and Inference: A Journal of the IMA 4 (3), 230-287, 2015
422015
Local behavior of sparse analysis regularization: Applications to risk estimation
S Vaiter, C Deledalle, G Peyré, C Dossal, J Fadili
Applied and Computational Harmonic Analysis 35 (3), 433-451, 2012
372012
The degrees of freedom of partly smooth regularizers
S Vaiter, C Deledalle, J Fadili, G Peyré, C Dossal
Annals of the Institute of Statistical Mathematics 69 (4), 791-832, 2017
342017
Clear: Covariant least-square refitting with applications to image restoration
CA Deledalle, N Papadakis, J Salmon, S Vaiter
SIAM Journal on Imaging Sciences 10 (1), 243-284, 2017
332017
Low complexity regularization of linear inverse problems
S Vaiter, G Peyré, J Fadili
Sampling Theory, a Renaissance, 103-153, 2015
202015
Stable recovery with analysis decomposable priors
MJ Fadili, G Peyré, S Vaiter, C Deledalle, J Salmon
arXiv preprint arXiv:1304.4407, 2013
172013
The Degrees of Freedom of the Group Lasso
S Vaiter, C Deledalle, G Peyré, J Fadili, C Dossal
arXiv preprint arXiv:1205.1481, 2012
162012
Unbiased risk estimation for sparse analysis regularization
C Deledalle, S Vaiter, G Peyré, J Fadili, C Dossal
Proc. ICIP'12, 2012
152012
The degrees of freedom of the Group Lasso for a General Design
S Vaiter, C Deledalle, G Peyré, J Fadili, C Dossal
arXiv preprint arXiv:1212.6478, 2012
142012
Risk estimation for matrix recovery with spectral regularization
CA Deledalle, S Vaiter, G Peyré, J Fadili, C Dossal
arXiv preprint arXiv:1205.1482, 2012
132012
Accelerated alternating descent methods for Dykstra-like problems
A Chambolle, P Tan, S Vaiter
Journal of Mathematical Imaging and Vision 59 (3), 481-497, 2017
122017
Proximal Splitting Derivatives for Risk Estimation
C Deledalle, S Vaiter, G Peyré, J Fadili, C Dossal
Proc. NCMIP'12, 2012
122012
Dual extrapolation for sparse generalized linear models
M Massias, S Vaiter, A Gramfort, J Salmon
arXiv preprint arXiv:1907.05830, 2019
72019
Implicit differentiation of Lasso-type models for hyperparameter optimization
Q Bertrand, Q Klopfenstein, M Blondel, S Vaiter, A Gramfort, J Salmon
arXiv preprint arXiv:2002.08943, 2020
62020
Model selection with piecewise regular gauges
S Vaiter, M Golbabaee, J Fadili, G Peyré
arXiv preprint arXiv:1307.2342, 2013
62013
Robust polyhedral regularization
S Vaiter, G Peyré, J Fadili
arXiv preprint arXiv:1304.6033, 2013
52013
Low Complexity Regularization of Inverse Problems
S Vaiter
42014
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Artikkelit 1–20