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	Pour les 54 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

		Primal and dual predicted decrease approximation methods Amir Beck , Edouard Pauwels , Shoham Sabach Mathematical Programming, 2017, 167, pp.37-73. ⟨10.1007/s10107-017-1108-9⟩ Article dans une revue hal-01482951v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Semialgebraic Representation of Monotone Deep Equilibrium Models and Applications to Certification Tong Chen , Jean-Bernard Lasserre , Victor Magron , Edouard Pauwels Advances in Neural Information Processing Systems, Dec 2021, Online, France Communication dans un congrès hal-03265346v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		A Bayesian active learning strategy for sequential experimental design in systems biology Edouard Pauwels , Christian Lajaunie , Jean-Philippe Vert BMC Systems Biology, 2014, 8, 12p. ⟨10.1186/s12918-014-0102-6⟩ Article dans une revue hal-00943728v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Extragradient Method in Optimization: Convergence and Complexity Trong Phong Nguyen , Edouard Pauwels , Emile Richard , Bruce Suter Journal of Optimization Theory and Applications, 2017, ⟨10.1007/s10957-017-1200-6⟩ Article dans une revue hal-01688037v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		On Fienup Methods for Sparse Phase Retrieval Edouard Pauwels , Amir Beck , Yonina Eldar , Shoham Sabach IEEE Transactions on Signal Processing, 2018, 66 (4), pp.982 - 991. ⟨10.1109/TSP.2017.2780044⟩ Article dans une revue hal-01688030v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		On the nature of Bregman functions Edouard Pauwels 2023 Pré-publication, Document de travail hal-03974132v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		A Sublevel Moment-SOS Hierarchy for Polynomial Optimization Tong Chen , Jean-Bernard Lasserre , Victor Magron , Edouard Pauwels Computational Optimization and Applications, 2022, 81 (1), pp.31-66. ⟨10.1007/s10589-021-00325-z⟩ Article dans une revue hal-03109978v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Semi-algebraic approximation using Christoffel-Darboux kernel Swann Marx , Edouard Pauwels , Tillmann Weisser , Didier Henrion , Jean B Lasserre Constructive Approximation, 2021, 54 (3), pp.391-429. ⟨10.1007/s00365-021-09535-4⟩ Article dans une revue hal-02085835v3	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Rate of convergence for geometric inference based on the empirical Christoffel function Mai Trang Vu , François Bachoc , Edouard Pauwels ESAIM: Probability and Statistics, 2022, 26, pp.171-207. ⟨10.1051/ps/2022003⟩ Article dans une revue hal-03593329v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		The value function approach to convergence analysis in composite optimization Edouard Pauwels Operations Research Letters, 2016, 44 (6), pp.790-795. ⟨10.1016/j.orl.2016.10.003⟩ Article dans une revue hal-01482952v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Linear conic optimization for nonlinear optimal control Didier Henrion , Edouard Pauwels Terlaky, Tamas; Anjos, Miguel; Ahmed, Shabbir. Advances and Trends in Optimization with Engineering Applications, Chapitre 10, SIAM, pp.121-133, 2017, 978-1-61197-467-6. ⟨10.1137/1.9781611974683.ch10⟩ Chapitre d'ouvrage hal-03109262v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Numerical influence of ReLU’(0) on backpropagation David Bertoin , Jérôme Bolte , Sébastien Gerchinovitz , Edouard Pauwels Advances in Neural Information Processing Systems, Dec 2021, Paris, France Communication dans un congrès hal-03265059v3	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		On the complexity of nonsmooth automatic differentiation Jérôme Bolte , Ryan Boustany , Edouard Pauwels , Béatrice Pesquet-Popescu International Conference on Learning Representations (ICLR 2023), International Conference on Learning Representations, May 2023, Kigali, Rwanda Communication dans un congrès hal-03683640v3	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Second-order step-size tuning of SGD for non-convex optimization Camille Castera , Cédric Févotte , Jérôme Bolte , Edouard Pauwels Neural Processing Letters, 2022, pp.1--26. ⟨10.1007/s11063-021-10705-5⟩ Article dans une revue hal-03161775v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		A mathematical model for automatic differentiation in machine learning Jerome Bolte , Edouard Pauwels Conference on Neural Information Processing Systems, Dec 2020, Vancouver, Canada Communication dans un congrès hal-02734446v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		An Inertial Newton Algorithm for Deep Learning Camille Castera , Jérôme Bolte , Cédric Févotte , Edouard Pauwels Journal of Machine Learning Research, 2021, 22 (134) Article dans une revue hal-02140748v6	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Extracting Sets of Chemical Substructures and Protein Domains Governing Drug-Target Interactions Yoshihiro Yamanishi , Edouard Pauwels , Hiroto Saigo , Véronique Stoven Journal of Chemical Information and Modeling, 2011, 51 (5), pp.1183-1194. ⟨10.1021/ci100476q⟩ Article dans une revue hal-03116933v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Generic Fréchet stationarity in constrained optimization Edouard Pauwels 2024 Pré-publication, Document de travail hal-04458261v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		An unexpected connection between Bayes $A-$optimal designs and the Group Lasso Guillaume Sagnol , Edouard Pauwels Statistical Papers, 2019, 60 (2), pp.215-234. ⟨10.1007/s00362-018-01062-y⟩ Article dans une revue hal-01869959v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		A Hölderian backtracking method for min-max and min-min problems Jérôme Bolte , Lilian Glaudin , Edouard Pauwels , Mathieu Serrurier 2020 Pré-publication, Document de travail hal-02900875v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Predicting drug side-effect profiles: a chemical fragment-based approach. Edouard Pauwels , Véronique Stoven , Yoshihiro Yamanishi BMC Bioinformatics, 2011, 12 (1), pp.169. ⟨10.1186/1471-2105-12-169⟩ Article dans une revue inserm-00663945v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Report on CIMI Thematic Trimester: Machine Learning Stergos Afantenos , Nicolas Couellan , Aurélien Garivier , Sébastien Gerchinovitz , Jean-Michel Loubes , et al. [Rapport de recherche] IRIT : Institut de Recherche en Informatique de Toulouse. 2016 Rapport hal-03155046v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		The empirical Christoffel function with applications in data analysis Jean-Bernard Lasserre , Edouard Pauwels Advances in Computational Mathematics, 2019, 45 (3), pp.1439--1468. ⟨10.1007/s10444-019-09673-1⟩ Article dans une revue hal-01511624v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Drug Side-Effect Prediction Based on the Integration of Chemical and Biological Spaces Yoshihiro Yamanishi , Edouard Pauwels , Masaaki Kotera Journal of Chemical Information and Modeling, 2012, 52 (12), pp.3284-3292. ⟨10.1021/ci2005548⟩ Article dans une revue hal-03954127v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		An Inertial Newton Algorithm for Deep Learning Camille Castera , Jérôme Bolte , Cédric Févotte , Edouard Pauwels Thirty-third Conference on Neural Information Processing Systems : Beyond First Order Methods in ML (NeurIPS Workshop2019), Neural Information Processing Systems Foundation, Dec 2019, Vancouver, Canada Communication dans un congrès hal-03049921v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Sequential convergence of AdaGrad algorithm for smooth convex optimization Cheik Traoré , Edouard Pauwels Operations Research Letters, 2021, 49 (4), pp.452-458. ⟨10.1016/j.orl.2021.04.011⟩ Article dans une revue hal-03614892v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		The derivatives of Sinkhorn-Knopp converge Edouard Pauwels , Samuel Vaiter SIAM Journal on Optimization, 2023, 33 (3), ⟨10.48550/arXiv.2207.12717⟩ Article dans une revue hal-03736905v3	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		On the Generalized Jacobian of the Inverse of a Lipschitzian Mapping Marián Fabian , Jean-Baptiste Hiriart-Urruty , Edouard Pauwels Set-Valued and Variational Analysis, 2022, ⟨10.1007/s11228-022-00640-5⟩ Article dans une revue hal-03673260v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Incremental Without Replacement Sampling in Nonconvex Optimization Edouard Pauwels Journal of Optimization Theory and Applications, 2021, ⟨10.1007/s10957-021-01883-2⟩ Article dans une revue hal-02896102v4	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Conservative set valued fields, automatic differentiation, stochastic gradient method and deep learning Jérôme Bolte , Edouard Pauwels Mathematical Programming, 2020, 188 (19-51), ⟨10.1007/s10107-020-01501-5⟩ Article dans une revue hal-02521848v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More

Filtrer vos résultats

Primal and dual predicted decrease approximation methods

Semialgebraic Representation of Monotone Deep Equilibrium Models and Applications to Certification

A Bayesian active learning strategy for sequential experimental design in systems biology

Extragradient Method in Optimization: Convergence and Complexity

On Fienup Methods for Sparse Phase Retrieval

On the nature of Bregman functions

A Sublevel Moment-SOS Hierarchy for Polynomial Optimization

Semi-algebraic approximation using Christoffel-Darboux kernel

Rate of convergence for geometric inference based on the empirical Christoffel function

The value function approach to convergence analysis in composite optimization

Linear conic optimization for nonlinear optimal control

Numerical influence of ReLU’(0) on backpropagation

On the complexity of nonsmooth automatic differentiation

Second-order step-size tuning of SGD for non-convex optimization

A mathematical model for automatic differentiation in machine learning

An Inertial Newton Algorithm for Deep Learning

Extracting Sets of Chemical Substructures and Protein Domains Governing Drug-Target Interactions

Generic Fréchet stationarity in constrained optimization

An unexpected connection between Bayes $A-$optimal designs and the Group Lasso

A Hölderian backtracking method for min-max and min-min problems

Predicting drug side-effect profiles: a chemical fragment-based approach.

Report on CIMI Thematic Trimester: Machine Learning

The empirical Christoffel function with applications in data analysis

Drug Side-Effect Prediction Based on the Integration of Chemical and Biological Spaces

An Inertial Newton Algorithm for Deep Learning

Sequential convergence of AdaGrad algorithm for smooth convex optimization

The derivatives of Sinkhorn-Knopp converge

On the Generalized Jacobian of the Inverse of a Lipschitzian Mapping

Incremental Without Replacement Sampling in Nonconvex Optimization

Conservative set valued fields, automatic differentiation, stochastic gradient method and deep learning