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Score-Based Change Detection For Gradient-Based Learning Machines

Lang Liu , Joseph Salmon , Zaid Harchaoui
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun 2021, Toronto, France. pp.4990-4994, ⟨10.1109/ICASSP39728.2021.9414085⟩
Communication dans un congrès hal-03561987v1
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Debiasing the Elastic Net for models with interactions

Florent Bascou , Sophie Lèbre , Joseph Salmon
JDS2020, May 2020, Nice, France
Communication dans un congrès hal-02995645v1

Mathematical programming for influence diagrams

Axel Parmentier , Victor Cohen , Vincent Leclère , Guillaume Obozinski , Joseph Salmon
2019
Pré-publication, Document de travail hal-02043198v1
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Probabilistic low-rank matrix completion on finite alphabets

Jean Lafond , Olga Klopp , Eric Moulines , Jospeh Salmon
NIPS, Dec 2014, Montreal, Canada
Communication dans un congrès hal-01081805v1
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Characterizing the maximum parameter of the total-variation denoising through the pseudo-inverse of the divergence

Charles-Alban Deledalle , Nicolas Papadakis , Joseph Salmon , Samuel Vaiter
Signal Processing with Adaptive Sparse Structured Representations (SPARS'17), Jun 2017, Lisbon, Portugal
Communication dans un congrès hal-01412059v1

Image denoising with patch based PCA: local versus global

Charles-Alban Deledalle , Joseph Salmon , Arnak S. Dalalyan
BMVC 2011 - 22nd British Machine Vision Conference, Aug 2011, Dundee, United Kingdom. pp.25.1-25.10, ⟨10.5244/C.25.25⟩
Communication dans un congrès hal-00654289v1
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Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification

Camille Garcin , Maximilien Servajean , Alexis Joly , Joseph Salmon
ICML 2022 - 39th International Conference on Machine Learning, Jul 2022, Baltimore, United States. pp.7208-7222
Communication dans un congrès hal-03828747v1
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Learning Heteroscedastic Models by Convex Programming under Group Sparsity

Arnak S. Dalalyan , Mohamed Hebiri , Katia Meziani , Joseph Salmon
Proceedings of the 30 th International Conference on Machine Learning, 2013, http://icml.cc/2013/?page_id=43
Article dans une revue hal-00813908v1

A hierarchical Bayesian perspective on majorization-minimization for non-convex sparse regression: application to M/EEG source imaging

Yousra Bekhti , Felix Lucka , Joseph Salmon , Alexandre Gramfort
Inverse Problems, 2018, 34 (8), pp.085010
Article dans une revue hal-01970744v1
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Stable Recovery with Analysis Decomposable Priors

Jalal M. Fadili , Gabriel Peyré , Samuel Vaiter , Charles-Alban Deledalle , Joseph Salmon
SPARS 2013, Jul 2013, Lausanne, Switzerland. 1 pp
Communication dans un congrès hal-00926727v1

Poisson noise reduction with non-local PCA

Joseph Salmon , Zachary Harmany , Charles-Alban Deledalle , Rebecca Willett
Journal of Mathematical Imaging and Vision, 2014, 48 (2), pp.279-294. ⟨10.1007/s10851-013-0435-6⟩
Article dans une revue hal-00957837v1
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Agrégation d'estimateurs et méthodes à patch pour le débruitage d'images numériques

Joseph Salmon
Mathématiques [math]. Université Paris-Diderot - Paris VII, 2010. Français. ⟨NNT : ⟩
Thèse tel-00545643v1

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

Eugène Ndiaye , Olivier Fercoq , Alexandre Gramfort , Joseph Salmon
Conference on Neural Information Processing Systems, Dec 2015, Montréal, Canada
Communication dans un congrès hal-02287197v1
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Agrégation d'estimateurs pour le débruitage d'image

Joseph Salmon , Erwan Le Pennec
41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France, France
Communication dans un congrès inria-00386668v1

On Lasso refitting strategies

Evgenii Chzhen , Mohamed Hebiri , Joseph Salmon
Bernoulli, 2019, 25 (4A), pp.3175-3200. ⟨10.3150/18-BEJ1085⟩
Article dans une revue hal-01593888v1
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Screening Rules for Lasso with Non-Convex Sparse Regularizers

Alain Rakotomamonjy , Gilles Gasso , Joseph Salmon
International Conference on Machine Learning, 2019, Long Beach, United States
Communication dans un congrès hal-02017967v1
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Stable Recovery with Analysis Decomposable Priors

Jalal M. Fadili , Gabriel Peyré , Samuel Vaiter , Charles-Alban Deledalle , Joseph Salmon
Proc. SampTA'13, Jul 2013, Bremen, Germany. pp.113-116
Communication dans un congrès hal-00926732v1
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Optimal aggregation of affine estimators

Joseph Salmon , Arnak S. Dalalyan
COLT - 24th Conference on Learning Theory - 2011, Jul 2011, Budapest, Hungary. 19 p
Communication dans un congrès hal-00654251v1
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Pl@ntNet-300K: a plant image dataset with high label ambiguity and a long-tailed distribution

Camille Garcin , Alexis Joly , Pierre Bonnet , Jean-Christophe Lombardo , Antoine Affouard , et al.
NeurIPS 2021 - 35th Conference on Neural Information Processing Systems, Dec 2021, Virtual Conference, France. ⟨10.5281/zenodo.5645731⟩
Communication dans un congrès hal-03474556v2
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Refitting solutions promoted by $\ell_{12}$ sparse analysis regularization with block penalties

Charles-Alban Deledalle , Nicolas Papadakis , Joseph Salmon , Samuel Vaiter
International Conference on Scale Space and Variational Methods in Computer Vision (SSVM'19), Jun 2019, Hofgeismar, Germany. pp.131-143
Communication dans un congrès hal-02059006v1
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Statistical Inference with Ensemble of Clustered Desparsified Lasso

Jérôme-Alexis Chevalier , Joseph Salmon , Bertrand Thirion
MICCAI, 2018, Grenade, Spain
Communication dans un congrès hal-01815255v1
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On debiasing restoration algorithms: applications to total-variation and nonlocal-means

Charles-Alban Deledalle , Nicolas Papadakis , Joseph Salmon
International Conference on Scale Space and Variational Methods in Computer Vision (SSVM'15), May 2015, Lège Cap Ferret, France. pp.129-141
Communication dans un congrès hal-01123542v1
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A sharp oracle inequality for Graph-Slope

Pierre C. Bellec , Joseph Salmon , Samuel Vaiter
Electronic Journal of Statistics , 2017, 11 (2), pp.4851-4870. ⟨10.1214/17-EJS1364⟩
Article dans une revue hal-01544680v1
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Safe Grid Search with Optimal Complexity

Eugene Ndiaye , Tam Le , Olivier Fercoq , Joseph Salmon , Ichiro Takeuchi
International Conference on Machine Learning, 2019, Long Beach, United States
Communication dans un congrès hal-01900037v1

Optimal mini-batch and step sizes for SAGA

Nidham Gazagnadou , Robert M. Gower , Joseph Salmon
2019
Pré-publication, Document de travail hal-02005431v1
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Implicit differentiation for fast hyperparameter selection in non-smooth convex learning

Quentin Bertrand , Quentin Klopfenstein , Mathurin Massias , Mathieu Blondel , Samuel Vaiter , et al.
Journal of Machine Learning Research, 2022, 23 (149), pp.1-48
Article dans une revue hal-03228663v2
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Support recovery and sup-norm convergence rates for sparse pivotal estimation

Mathurin Massias , Quentin Bertrand , Alexandre Gramfort , Joseph Salmon
AISTATS2020, Aug 2020, Virtual, Italy
Communication dans un congrès hal-02444978v1

Refitting Solutions Promoted by $$\ell _{12}$$ Sparse Analysis Regularizations with Block Penalties

Charles-Alban Deledalle , Nicolas Papadakis , Joseph Salmon , Samuel Vaiter
Scale Space and Variational Methods in Computer Vision, 11603, , pp.131-143, 2019, 978-3-030-22367-0. ⟨10.1007/978-3-030-22368-7_11⟩
Chapitre d'ouvrage hal-03107463v1
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Reconstruction Stable par Régularisation Décomposable Analyse

Jalal M. Fadili , Gabriel Peyré , Samuel Vaiter , Charles-Alban Deledalle , Joseph Salmon
Colloque sur le Traitement du Signal et des Images (GRETSI'13), Sep 2013, Brest, France. pp.ID208
Communication dans un congrès hal-00927561v1
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Dual Extrapolation for Sparse Generalized Linear Models

Mathurin Massias , Samuel Vaiter , Alexandre Gramfort , Joseph Salmon
Journal of Machine Learning Research, 2020, 21 (234), pp.1-33
Article dans une revue hal-02263500v1