Edouard Pauwels

According to our database, Edouard Pauwels authored at least 48 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Differentiating Nonsmooth Solutions to Parametric Monotone Inclusion Problems.

Jérôme Bolte, Edouard Pauwels, Antonio Silveti-Falls

SIAM J. Optim., March, 2024

2023

Subgradient Sampling for Nonsmooth Nonconvex Minimization.

Jérôme Bolte, Tam Le, Edouard Pauwels

SIAM J. Optim., December, 2023

The Derivatives of Sinkhorn-Knopp Converge.

Edouard Pauwels, Samuel Vaiter

SIAM J. Optim., September, 2023

One-step differentiation of iterative algorithms.

Jérôme Bolte, Edouard Pauwels, Samuel Vaiter

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

On the complexity of nonsmooth automatic differentiation.

Jérôme Bolte, Ryan Boustany, Edouard Pauwels, Béatrice Pesquet-Popescu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Second-Order Step-Size Tuning of SGD for Non-Convex Optimization.

Camille Castera, Jérôme Bolte, Cédric Févotte, Edouard Pauwels

Neural Process. Lett., 2022

Curiosities and counterexamples in smooth convex optimization.

Jérôme Bolte, Edouard Pauwels

Math. Program., 2022

Nonsmooth automatic differentiation: a cheap gradient principle and other complexity results.

Jérôme Bolte, Ryan Boustany, Edouard Pauwels, Béatrice Pesquet-Popescu

CoRR, 2022

Path differentiability of ODE flows.

Swann Marx, Edouard Pauwels

CoRR, 2022

A sublevel moment-SOS hierarchy for polynomial optimization.

Tong Chen, Jean-Bernard Lasserre, Victor Magron, Edouard Pauwels

Comput. Optim. Appl., 2022

Automatic differentiation of nonsmooth iterative algorithms.

Jérôme Bolte, Edouard Pauwels, Samuel Vaiter

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

2021

Sequential convergence of AdaGrad algorithm for smooth convex optimization.

Cheik Traoré, Edouard Pauwels

Oper. Res. Lett., 2021

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

Jérôme Bolte, Edouard Pauwels

Math. Program., 2021

Incremental Without Replacement Sampling in Nonconvex Optimization.

Edouard Pauwels

J. Optim. Theory Appl., 2021

An Inertial Newton Algorithm for Deep Learning.

Camille Castera, Jérôme Bolte, Cédric Févotte, Edouard Pauwels

J. Mach. Learn. Res., 2021

Data Analysis from Empirical Moments and the Christoffel Function.

Edouard Pauwels, Mihai Putinar, Jean-Bernard Lasserre

Found. Comput. Math., 2021

Semialgebraic Representation of Monotone Deep Equilibrium Models and Applications to Certification.

Tong Chen, Jean B. Lasserre, Victor Magron, Edouard Pauwels

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

Nonsmooth Implicit Differentiation for Machine-Learning and Optimization.

Jérôme Bolte, Tam Le, Edouard Pauwels, Antonio Silveti-Falls

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

Numerical influence of ReLU'(0) on backpropagation.

David Bertoin, Jérôme Bolte, Sébastien Gerchinovitz, Edouard Pauwels

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

2020

The multiproximal linearization method for convex composite problems.

Jérôme Bolte, Zheng Chen, Edouard Pauwels

Math. Program., 2020

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

Jérôme Bolte, Lilian Glaudin, Edouard Pauwels, Mathieu Serrurier

CoRR, 2020

Long term dynamics of the subgradient method for Lipschitz path differentiable functions.

Jérôme Bolte, Edouard Pauwels, Rodolfo Rios-Zertuche

CoRR, 2020

Polynomial Optimization for Bounding Lipschitz Constants of Deep Networks.

Tong Chen, Jean-Bernard Lasserre, Victor Magron, Edouard Pauwels

CoRR, 2020

A mathematical model for automatic differentiation in machine learning.

Jérôme Bolte, Edouard Pauwels

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

Semialgebraic Optimization for Lipschitz Constants of ReLU Networks.

Tong Chen, Jean B. Lasserre, Victor Magron, Edouard Pauwels

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

2019

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

Mai Trang Vu, François Bachoc, Edouard Pauwels

CoRR, 2019

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

Jérôme Bolte, Edouard Pauwels

CoRR, 2019

The empirical Christoffel function with applications in data analysis.

Jean B. Lasserre, Edouard Pauwels

Adv. Comput. Math., 2019

2018

On Fienup Methods for Sparse Phase Retrieval.

Edouard Pauwels, Amir Beck, Yonina C. Eldar, Shoham Sabach

IEEE Trans. Signal Process., 2018

Qualification Conditions in Semialgebraic Programming.

Jérôme Bolte, Antoine Hochart, Edouard Pauwels

SIAM J. Optim., 2018

Primal and dual predicted decrease approximation methods.

Amir Beck, Edouard Pauwels, Shoham Sabach

Math. Program., 2018

Extragradient Method in Optimization: Convergence and Complexity.

Trong Phong Nguyen, Edouard Pauwels, Emile Richard, Bruce W. Suter

J. Optim. Theory Appl., 2018

Relating Leverage Scores and Density using Regularized Christoffel Functions.

Edouard Pauwels, Francis R. Bach, Jean-Philippe Vert

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Positivity Certificates in Optimal Control.

Edouard Pauwels, Didier Henrion, Jean-Bernard Lasserre

Proceedings of the Geometric and Numerical Foundations of Movements, 2017

On Fienup Methods for Regularized Phase Retrieval.

Edouard Pauwels, Amir Beck, Yonina C. Eldar, Shoham Sabach

CoRR, 2017

The empirical Christoffel function in Statistics and Machine Learning.

Jean-Bernard Lasserre, Edouard Pauwels

CoRR, 2017

2016

Linear Conic Optimization for Inverse Optimal Control.

Edouard Pauwels, Didier Henrion, Jean-Bernard Lasserre

SIAM J. Control. Optim., 2016

The value function approach to convergence analysis in composite optimization.

Edouard Pauwels

Oper. Res. Lett., 2016

Majorization-Minimization Procedures and Convergence of SQP Methods for Semi-Algebraic and Tame Programs.

Jérôme Bolte, Edouard Pauwels

Math. Oper. Res., 2016

Sorting out typicality with the inverse moment matrix SOS polynomial.

Edouard Pauwels, Jean B. Lasserre

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

2015

The Cyclic Block Conditional Gradient Method for Convex Optimization Problems.

Amir Beck, Edouard Pauwels, Shoham Sabach

SIAM J. Optim., 2015

2014

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

Edouard Pauwels, Christian Lajaunie, Jean-Philippe Vert

BMC Syst. Biol., 2014

Inverse optimal control with polynomial optimization.

Edouard Pauwels, Didier Henrion, Jean-Bernard Lasserre

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2012

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

Yoshihiro Yamanishi, Edouard Pauwels, Masaaki Kotera

J. Chem. Inf. Model., 2012

Identification of chemogenomic features from drug-target interaction networks using interpretable classifiers.

Yasuo Tabei, Edouard Pauwels, Véronique Stoven, Kazuhiro Takemoto, Yoshihiro Yamanishi

Bioinform., 2012

Relating drug-protein interaction network with drug side effects.

Sayaka Mizutani, Edouard Pauwels, Véronique Stoven, Susumu Goto, Yoshihiro Yamanishi

Bioinform., 2012

2011

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

Yoshihiro Yamanishi, Edouard Pauwels, Hiroto Saigo, Véronique Stoven

J. Chem. Inf. Model., 2011

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

Edouard Pauwels, Véronique Stoven, Yoshihiro Yamanishi

BMC Bioinform., 2011