Samuel Vaiter

SIAM J. Optim., September, 2023

The Geometry of Sparse Analysis Regularization.

[BibT_eX]

[DOI]

Xavier Dupuis

SIAM J. Optim., June, 2023

Supervised Learning of Analysis-Sparsity Priors With Automatic Differentiation.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2023

Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs.

[BibT_eX]

[DOI]

CoRR, 2023

Gradient scarcity with Bilevel Optimization for Graph Learning.

[BibT_eX]

[DOI]

Hashem Ghanem

CoRR, 2023

A Near-Optimal Algorithm for Bilevel Empirical Risk Minimization.

[BibT_eX]

[DOI]

CoRR, 2023

What functions can Graph Neural Networks compute on random graphs? The role of Positional Encoding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

One-step differentiation of iterative algorithms.

[BibT_eX]

[DOI]

Jérôme Bolte

Edouard Pauwels

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Robustness of Text Vectorizers.

[BibT_eX]

[DOI]

Rémi Catellier

Damien Garreau

Proceedings of the International Conference on Machine Learning, 2023

2022

Implicit Differentiation for Fast Hyperparameter Selection in Non-Smooth Convex Learning.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2022

A framework for bilevel optimization that enables stochastic and global variance reduction algorithms.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Automatic differentiation of nonsmooth iterative algorithms.

[BibT_eX]

[DOI]

Jérôme Bolte

Edouard Pauwels

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Benchopt: Reproducible, efficient and collaborative optimization benchmarks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Linear support vector regression with linear constraints.

[BibT_eX]

[DOI]

Quentin Klopfenstein

Mach. Learn., 2021

Automated Data-Driven Selection of the Hyperparameters for Total-Variation-Based Texture Segmentation.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2021

Block-Based Refitting in ℓ <sub>12</sub> Sparse Regularization.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2021

On the Universality of Graph Neural Networks on Large Random Graphs.

[BibT_eX]

[DOI]

Alberto Bietti

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Model identification and local linear convergence of coordinate descent.

[BibT_eX]

[DOI]

CoRR, 2020

Sparse and Smooth: improved guarantees for Spectral Clustering in the Dynamic Stochastic Block Model.

[BibT_eX]

[DOI]

CoRR, 2020

Convergence and Stability of Graph Convolutional Networks on Large Random Graphs.

[BibT_eX]

[DOI]

Alberto Bietti

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Implicit differentiation of Lasso-type models for hyperparameter optimization.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Maximal Solutions of Sparse Analysis Regularization.

[BibT_eX]

[DOI]

Abdessamad Barbara

Abderrahim Jourani

J. Optim. Theory Appl., 2019

Dual Extrapolation for Sparse Generalized Linear Models.

[BibT_eX]

[DOI]

CoRR, 2019

Refitting Solutions Promoted by ℓ _12 Sparse Analysis Regularizations with Block Penalties.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2019

2018

Model Consistency of Partly Smooth Regularizers.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2018

Is the 1-norm the best convex sparse regularization?

[BibT_eX]

[DOI]

Yann Traonmilin

Rémi Gribonval

CoRR, 2018

Optimality of 1-norm regularization among weighted 1-norms for sparse recovery: a case study on how to find optimal regularizations.

[BibT_eX]

[DOI]

Yann Traonmilin

CoRR, 2018

2017

CLEAR: Covariant LEAst-Square Refitting with Applications to Image Restoration.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2017

Accelerated Alternating Descent Methods for Dykstra-Like Problems.

[BibT_eX]

[DOI]

Antonin Chambolle

Pauline Tan

J. Math. Imaging Vis., 2017

2016

CLEAR: Covariant LEAst-square Re-fitting with applications to image restoration.

[BibT_eX]

[DOI]

CoRR, 2016

2014

Low Complexity Regularizations of Inverse Problems. (Régularisations de Faible Complexité pour les Problèmes Inverses).

[BibT_eX]

[DOI]

PhD thesis, 2014

Stein Unbiased GrAdient estimator of the Risk (SUGAR) for Multiple Parameter Selection.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2014

Low Complexity Regularization of Linear Inverse Problems.

[BibT_eX]

[DOI]

CoRR, 2014

Partly Smooth Regularization of Inverse Problems.

[BibT_eX]

[DOI]

CoRR, 2014

The Degrees of Freedom of Partly Smooth Regularizers.

[BibT_eX]

[DOI]

Christophe De Vleeschouwer

Charles Dossal

CoRR, 2014

Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14).

[BibT_eX]

[DOI]

Laurent Jacques

Jean-François Determe

Fred Maurice Ngolè Mboula

CoRR, 2014

2013

Robust Sparse Analysis Regularization.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2013

Robust Polyhedral Regularization

[BibT_eX]

[DOI]

CoRR, 2013

Stable Recovery with Analysis Decomposable Priors

[BibT_eX]

[DOI]

Mohamed-Jalal Fadili

CoRR, 2013

Model Selection with Piecewise Regular Gauges.

[BibT_eX]

[DOI]

CoRR, 2013

2012

The degrees of freedom of the Group Lasso for a General Design

[BibT_eX]

[DOI]

Charles Dossal

CoRR, 2012

Risk estimation for matrix recovery with spectral regularization

[BibT_eX]

[DOI]

CoRR, 2012

Unbiased risk estimation for sparse analysis regularization.

[BibT_eX]

[DOI]