Recherche - Laboratoire Jean Kuntzmann

31 résultats

	Pour les 31 documents Envoyer sur ORCID RSS ATOM Exporter BibTeX XML-TEI CSV RTF EndNote PDF HTML Export avancé	Page : Page précédente 1 2 Page suivante	triés par Pertinence Auteur A→Z Auteur Z→A Titre A→Z Titre Z→A Date de publication croissante Date de publication décroissante Date de dépôt croissante Date de dépôt décroissante

		A Delay-tolerant Proximal-Gradient Algorithm for Distributed Learning Konstantin Mishchenko , Franck Iutzeler , Jérôme Malick , Massih-Reza Amini International Conference on Machine Learning, Jul 2018, Stockholm, Sweden. pp.3587-3595 Communication dans un congrès hal-01996562v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Multi-agent online optimization with delays: Asynchronicity, adaptivity, and optimism Yu-Guan Hsieh , Franck Iutzeler , Jérôme Malick , Panayotis Mertikopoulos Journal of Machine Learning Research, 2022, 23 (78), pp.1--49 Article dans une revue hal-03410422v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Distributed Learning with Sparse Communications by Identification Dmitry Grishchenko , Franck Iutzeler , Jérôme Malick , Massih-Reza Amini SIAM Journal on Mathematics of Data Science, 2021, 3 (2), pp.715-735. ⟨10.1137/20M1347772⟩ Article dans une revue hal-01950120v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Asynchronous Distributed Matrix Factorization with Similar User and Item Based Regularization Bikash Joshi , Franck Iutzeler , Massih-Reza Amini 10th ACM Conference on Recommender Systems (RecSys '16), Sep 2016, Boston, United States Communication dans un congrès hal-01406565v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		On the Convergence of Single-Call Stochastic Extra-Gradient Methods Yu-Guan Hsieh , Franck Iutzeler , Jérôme Malick , Panayotis Mertikopoulos Advances in Neural Information Processing Systems, Dec 2019, Vancouver, Canada Communication dans un congrès hal-02403555v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		A Coordinate Descent Primal-Dual Algorithm and Application to Distributed Asynchronous Optimization Pascal Bianchi , Walid Hachem , Franck Iutzeler IEEE Transactions on Automatic Control, 2016, 61 (10), pp.2947-2957. ⟨10.1109/TAC.2015.2512043⟩ Article dans une revue hal-01237226v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Optimization in open networks via dual averaging Yu-Guan Hsieh , Franck Iutzeler , Jérôme Malick , Panayotis Mertikopoulos CDC 2021 - 60th IEEE Annual Conference on Decision and Control, Dec 2021, Austin, United States. pp.1-7, ⟨10.1109/CDC45484.2021.9683558⟩ Communication dans un congrès hal-03342395v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Proximal Gradient methods with Adaptive Subspace Sampling Dmitry Grishchenko , Franck Iutzeler , Jérôme Malick Mathematics of Operations Research, 2021, 46 (4), pp.1235-1657, C2. ⟨10.1287/moor.2020.1092⟩ Article dans une revue hal-02555292v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Classifying and explaining defects with small data for the semiconductor industry Jean-François Boulanger , Franck Corset , Franck Iutzeler , Jérôme Lelong MathematicS In Action, 2022, 11 (1), pp.109-114. ⟨10.5802/msia.20⟩ Article dans une revue hal-03544717v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Unsupervised density based machine learning for abnormal leveling signatures detection Franck Iutzeler , Mathias Chastan , Auguste Lam SPIE Advanced Lithography, Feb 2021, Online Only, United States. pp.51, ⟨10.1117/12.2581468⟩ Communication dans un congrès hal-03431516v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Distributed Computation of Quantiles via ADMM Franck Iutzeler IEEE Signal Processing Letters, 2017, 24 (5), pp.619 - 623. ⟨10.1109/LSP.2017.2672684⟩ Article dans une revue hal-01685714v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Randomized Progressive Hedging methods for Multi-stage Stochastic Programming Gilles Bareilles , Yassine Laguel , Dmitry Grishchenko , Franck Iutzeler , Jérôme Malick Annals of Operations Research, 2020, 295, pp.535-560. ⟨10.1007/s10479-020-03811-5⟩ Article dans une revue hal-02946615v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		A Distributed Flexible Delay-tolerant Proximal Gradient Algorithm Konstantin Mishchenko , Franck Iutzeler , Jérôme Malick SIAM Journal on Optimization, 2020, 30 (1), pp.933-959. ⟨10.1137/18M1194699⟩ Article dans une revue hal-01821683v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		On the interplay between acceleration and identification for the proximal gradient algorithm Gilles Bareilles , Franck Iutzeler Computational Optimization and Applications, 2020, 77, pp.351-378. ⟨10.1007/s10589-020-00218-7⟩ Article dans une revue hal-02926364v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		A generic online acceleration scheme for optimization algorithms via relaxation and inertia Franck Iutzeler , Julien M. Hendrickx Optimization Methods and Software, 2019, 34 (2), pp.383-405. ⟨10.1080/10556788.2017.1396601⟩ Article dans une revue hal-01685717v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling Yu-Guan Hsieh , Franck Iutzeler , Jérôme Malick , Panayotis Mertikopoulos NeurIPS '20 - 34th International Conference on Neural Information Processing Systems, Dec 2020, Vancouver / Virtual, Canada. pp.16223--16234 Communication dans un congrès hal-03002844v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Asynchronous level bundle methods Franck Iutzeler , Jérôme Malick , Welington de Oliveira Mathematical Programming, 2020, 184, pp.319-348. ⟨10.1007/s10107-019-01414-y⟩ Article dans une revue hal-02182996v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		The rate of convergence of Bregman proximal methods: Local geometry vs. regularity vs. sharpness Waïss Azizian , Franck Iutzeler , Jérôme Malick , Panayotis Mertikopoulos 2023 Pré-publication, Document de travail hal-04307796v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification Bikash Joshi , Massih-Reza Amini , Ioannis Partalas , Franck Iutzeler , Yury Maximov 2017 Conference on Neural Information Processing Systems, Dec 2017, Long Beach, United States. pp.4162-4171 Communication dans un congrès hal-01769780v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		On the Proximal Gradient Algorithm with Alternated Inertia Franck Iutzeler , Jérôme Malick Journal of Optimization Theory and Applications, 2018, 176 (3), pp.688-710. ⟨10.1007/s10957-018-1226-4⟩ Article dans une revue hal-01685859v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		The last-iterate convergence rate of optimistic mirror descent in stochastic variational inequalities Waïss Azizian , Franck Iutzeler , Jérôme Malick , Panayotis Mertikopoulos COLT 2021 - 34th Annual Conference on Learning Theory, Aug 2021, Boulder, United States. pp.1-32 Communication dans un congrès hal-03342583v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Harnessing structure in composite nonsmooth minimization Gilles Bareilles , Franck Iutzeler , Jérôme Malick SIAM Journal on Optimization, 2023, 33 (3), pp.2222-2247. ⟨10.1137/22M1505827⟩ Article dans une revue hal-03706958v3	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Apprentissage séquentiel de préférence utilisateurs pour les systèmes de recommandation Aleksandra Burashnikova , Yury Maximov , Marianne Clausel , Charlotte Laclau , Franck Iutzeler , et al. CAp 2021 - Conférence sur l'Apprentissage Automatique, Jun 2021, Saint-Etienne / Virtual, France Communication dans un congrès hal-03266139v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Entropy-regularized Wasserstein distributionally robust shape and topology optimization Charles Dapogny , Franck Iutzeler , Andrea Meda , Boris Thibert Structural and Multidisciplinary Optimization, 2023, 66 (3), pp.42. ⟨10.1007/s00158-023-03500-4⟩ Article dans une revue hal-03783171v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Distributed Projection on the Simplex and l1 Ball via ADMM and Gossip Franck Iutzeler , Laurent Condat IEEE Signal Processing Letters, 2018, 25 (11), pp.1650-1654. ⟨10.1109/LSP.2018.2870951⟩ Article dans une revue hal-01876986v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		The Hidden Convex Optimization Landscape of Two-Layer ReLU Networks Victor Mercklé , Franck Iutzeler , Ievgen Redko 2024 Article de blog scientifique hal-04521343v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Large-scale asynchronous distributed learning based on parameter exchanges Bikash Joshi , Franck Iutzeler , Massih-Reza Amini International Journal of Data Science and Analytics, 2018, 5 (4), pp.223-232. ⟨10.1007/s41060-018-0110-5⟩ Article dans une revue hal-01727638v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Harnessing the Structure of some Optimization Problems Franck Iutzeler Optimization and Control [math.OC]. Université Grenoble Alpes (UGA), 2021 HDR tel-03474026v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Newton acceleration on manifolds identified by proximal-gradient methods Gilles Bareilles , Franck Iutzeler , Jérôme Malick Mathematical Programming, 2023, 200, pp.37-70. ⟨10.1007/s10107-022-01873-w⟩ Article dans une revue hal-03197686v3	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Push-Pull with Device Sampling Yu-Guan Hsieh , Yassine Laguel , Franck Iutzeler , Jérôme Malick 2022 Pré-publication, Document de travail hal-03691122v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More

Filtrer vos résultats

A Delay-tolerant Proximal-Gradient Algorithm for Distributed Learning

Multi-agent online optimization with delays: Asynchronicity, adaptivity, and optimism

Distributed Learning with Sparse Communications by Identification

Asynchronous Distributed Matrix Factorization with Similar User and Item Based Regularization

On the Convergence of Single-Call Stochastic Extra-Gradient Methods

A Coordinate Descent Primal-Dual Algorithm and Application to Distributed Asynchronous Optimization

Optimization in open networks via dual averaging

Proximal Gradient methods with Adaptive Subspace Sampling

Classifying and explaining defects with small data for the semiconductor industry

Unsupervised density based machine learning for abnormal leveling signatures detection

Distributed Computation of Quantiles via ADMM

Randomized Progressive Hedging methods for Multi-stage Stochastic Programming

A Distributed Flexible Delay-tolerant Proximal Gradient Algorithm

On the interplay between acceleration and identification for the proximal gradient algorithm

A generic online acceleration scheme for optimization algorithms via relaxation and inertia

Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling

Asynchronous level bundle methods

The rate of convergence of Bregman proximal methods: Local geometry vs. regularity vs. sharpness

Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification

On the Proximal Gradient Algorithm with Alternated Inertia

The last-iterate convergence rate of optimistic mirror descent in stochastic variational inequalities

Harnessing structure in composite nonsmooth minimization

Apprentissage séquentiel de préférence utilisateurs pour les systèmes de recommandation

Entropy-regularized Wasserstein distributionally robust shape and topology optimization

Distributed Projection on the Simplex and l1 Ball via ADMM and Gossip

The Hidden Convex Optimization Landscape of Two-Layer ReLU Networks

Large-scale asynchronous distributed learning based on parameter exchanges

Harnessing the Structure of some Optimization Problems

Newton acceleration on manifolds identified by proximal-gradient methods

Push-Pull with Device Sampling