Joseph Salmon

Tuan-Binh Nguyen

Stat. Comput., 2022

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

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2022

Improve learning combining crowdsourced labels by weighting Areas Under the Margin.

[BibT_eX]

[DOI]

CoRR, 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

Differentially Private Coordinate Descent for Composite Empirical Risk Minimization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Automated Machine Learning, 2022

Convergent Working Set Algorithm for Lasso with Non-Convex Sparse Regularizers.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Decoding with confidence: Statistical control on decoder maps.

[BibT_eX]

[DOI]

NeuroImage, 2021

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

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2021

Pl@ntNet-300K: a plant image dataset with high label ambiguity and a long-tailed distribution.

[BibT_eX]

[DOI]

Jean-Christophe Lombardo

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Score-Based Change Detection For Gradient-Based Learning Machines.

[BibT_eX]

[DOI]

Lang Liu

Zaïd Harchaoui

Proceedings of the IEEE International Conference on Acoustics, 2021

Elastic Net avec gestion des interactions et débiaisage.

[BibT_eX]

[DOI]

Florent Bascou

Sophie Lèbre

Proceedings of the Extraction et Gestion des Connaissances, 2021

2020

Integer Programming on the Junction Tree Polytope for Influence Diagrams.

[BibT_eX]

[DOI]

INFORMS J. Optim., July, 2020

Model identification and local linear convergence of coordinate descent.

[BibT_eX]

[DOI]

CoRR, 2020

Statistical control for spatio-temporal MEG/EEG source imaging with desparsified multi-task Lasso.

[BibT_eX]

[DOI]

CoRR, 2020

Screening Rules and its Complexity for Active Set Identification.

[BibT_eX]

[DOI]

Eugène Ndiaye

Olivier Fercoq

CoRR, 2020

Provably Convergent Working Set Algorithm for Non-Convex Regularized Regression.

[BibT_eX]

[DOI]

CoRR, 2020

Statistical control for spatio-temporal MEG/EEG source imaging with desparsified mutli-task Lasso.

[BibT_eX]

[DOI]

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

Support recovery and sup-norm convergence rates for sparse pivotal estimation.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Dual Extrapolation for Sparse Generalized Linear Models.

[BibT_eX]

[DOI]

CoRR, 2019

Concomitant Lasso with Repetitions (CLaR): beyond averaging multiple realizations of heteroscedastic noise.

[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

Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Screening rules for Lasso with non-convex Sparse Regularizers.

[BibT_eX]

[DOI]

Alain Rakotomamonjy

Gilles Gasso

Proceedings of the 36th International Conference on Machine Learning, 2019

Safe Grid Search with Optimal Complexity.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Optimal Mini-Batch and Step Sizes for SAGA.

[BibT_eX]

[DOI]

Nidham Gazagnadou

Robert M. Gower

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Statistical Inference with Ensemble of Clustered Desparsified Lasso.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Celer: a Fast Solver for the Lasso with Dual Extrapolation.

[BibT_eX]

[DOI]

Mathurin Massias

Proceedings of the 35th International Conference on Machine Learning, 2018

Generalized Concomitant Multi-Task Lasso for Sparse Multimodal Regression.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

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

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2017

Gap Safe Screening Rules for Sparsity Enforcing Penalties.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2017

From safe screening rules to working sets for faster Lasso-type solvers.

[BibT_eX]

[DOI]

Mathurin Massias

CoRR, 2017

On the benefits of output sparsity for multi-label classification.

[BibT_eX]

[DOI]

CoRR, 2017

2016

Efficient Smoothed Concomitant Lasso Estimation for High Dimensional Regression.

[BibT_eX]

[DOI]

CoRR, 2016

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

[BibT_eX]

[DOI]

CoRR, 2016

Adapting to unknown noise level in sparse deconvolution.

[BibT_eX]

[DOI]

Claire Boyer

Yohann de Castro

CoRR, 2016

GAP Safe Screening Rules for Sparse-Group Lasso.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

On Debiasing Restoration Algorithms: Applications to Total-Variation and Nonlocal-Means.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

GAP Safe screening rules for sparse multi-task and multi-class models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Extending Gossip Algorithms to Distributed Estimation of U-statistics.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Mind the duality gap: safer rules for the Lasso.

[BibT_eX]

[DOI]

Olivier Fercoq

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Poisson Noise Reduction with Non-local PCA.

[BibT_eX]

[DOI]

Zachary T. Harmany

J. Math. Imaging Vis., 2014

Mandatory Critical Points of 2D Uncertain Scalar Fields.

[BibT_eX]

[DOI]

David Günther

Julien Tierny

Comput. Graph. Forum, 2014

Probabilistic low-rank matrix completion on finite alphabets.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Stable Recovery with Analysis Decomposable Priors

[BibT_eX]

[DOI]

Mohamed-Jalal Fadili

Gabriel Peyré

CoRR, 2013

Learning Heteroscedastic Models by Convex Programming under Group Sparsity.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Patch reprojections for Non-Local methods.

[BibT_eX]

[DOI]

Yann Strozecki

Signal Process., 2012

Oracle Inequalities and Minimax Rates for Nonlocal Means and Related Adaptive Kernel-Based Methods.

[BibT_eX]

[DOI]

Ery Arias-Castro

SIAM J. Imaging Sci., 2012

Non-local Methods with Shape-Adaptive Patches (NLM-SAP).

[BibT_eX]

[DOI]

Vincent Duval

J. Math. Imaging Vis., 2012

A two-stage denoising filter: The preprocessed Yaroslavsky filter.

[BibT_eX]

[DOI]

Ery Arias-Castro

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

2011

Optimal aggregation of affine estimators.

[BibT_eX]

[DOI]

Arnak S. Dalalyan

Proceedings of the COLT 2011, 2011

Oracle inequalities and minimax rates for non-local means and related adaptive kernel-based methods

[BibT_eX]

[DOI]

Ery Arias-Castro

CoRR, 2011

Anisotropic Non-Local Means with Spatially Adaptive Patch Shapes.

[BibT_eX]

[DOI]

Vincent Duval

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

Image denoising with patch based PCA: local versus global.

[BibT_eX]

[DOI]

Arnak S. Dalalyan

Proceedings of the British Machine Vision Conference, 2011

Competing against the Best Nearest Neighbor Filter in Regression.

[BibT_eX]

[DOI]

Arnak S. Dalalyan

Proceedings of the Algorithmic Learning Theory - 22nd International Conference, 2011

2010

On Two Parameters for Denoising With Non-Local Means.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2010

From patches to pixels in Non-Local methods: Weighted-average reprojection.

[BibT_eX]

[DOI]

Yann Strozecki

Proceedings of the International Conference on Image Processing, 2010

2009

NL-Means and aggregation procedures.

[BibT_eX]

[DOI]