Edouard Pauwels

Université Toulouse III - Paul Sabatier — France

Mathematics · Physical Sciences

17h-index1.4kcitations101works1.22yr avg
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Research Topics

Advanced Optimization Algorithms Research(30), Optimization and Variational Analysis(28), Sparse and Compressive Sensing Techniques(21), Stochastic Gradient Optimization Techniques(19), Numerical methods in inverse problems(9)

Publications101 total

MAP, déconvolution aveugle et a priori appris : un subtil mélange
SPIRE - Sciences Po Institutional REpository·2025Open Access
Inexact subgradient methods for semialgebraic functions
Mathematical Programming·2025· 2 cited
Sample complexity of optimal transport barycenters with discrete support
arXiv (Cornell University)·2025Open Access
On the Sequential Convergence of Lloyd’s Algorithms
Mathematics of Operations Research·2025Open Access
On the nature of Bregman functions
Operations Research Letters·2024Open Access
Derivatives of Stochastic Gradient Descent in parametric optimization
arXiv (Cornell University)·2024Open Access
Inexact subgradient methods for semialgebraic functions
arXiv (Cornell University)·2024Open Access
A note on stationarity in constrained optimization
arXiv (Cornell University)·2024Open Access
Differentiating Nonsmooth Solutions to Parametric Monotone Inclusion Problems
SIAM Journal on Optimization·2024· 10 citedOpen Access
Derivatives of Stochastic Gradient Descent in parametric optimization
2024Open Access
Subgradient Sampling for Nonsmooth Nonconvex Minimization
SIAM Journal on Optimization·2023Open Access
The Derivatives of Sinkhorn–Knopp Converge
SIAM Journal on Optimization·2023· 2 cited
Conservative Parametric Optimality and the Ridge Method for Tame Min-Max Problems
Set-Valued and Variational Analysis·2023· 1 citedOpen Access
Long term dynamics of the subgradient method for Lipschitz path differentiable functions
Journal of the European Mathematical Society·2022· 2 citedOpen Access
Differentiating Nonsmooth Solutions to Parametric Monotone Inclusion Problems
arXiv (Cornell University)·2022Open Access
Path differentiability of ODE flows
Journal of Differential Equations·2022· 2 citedOpen Access
The derivatives of Sinkhorn-Knopp converge
arXiv (Cornell University)·2022Open Access
The derivatives of Sinkhorn-Knopp converge
HAL (Le Centre pour la Communication Scientifique Directe)·2022Open Access
On the complexity of nonsmooth automatic differentiation
arXiv (Cornell University)·2022Open Access
Automatic differentiation of nonsmooth iterative algorithms
arXiv (Cornell University)·2022· 2 citedOpen Access
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Frequent Co-authors

Jérôme Bolte(19), Jean B. Lasserre(13), Véronique Stoven(5), Yoshihiro Yamanishi(5), Didier Henrion(5), Jean‐Philippe Vert(3), Camille Castera(3), Cédric Févotte(3), Victor Magron(3), Swann Marx(3), Mihai Putinar(2), Antonio Silveti-Falls(2), Tillmann Weißer(2), Rodolfo Ríos-Zertuche(2), Samuel Vaiter(2), Sayaka Mizutani(1), Susumu Goto(1), Masaaki Kotera(1), Yasuo Tabei(1), Kazuhiro Takemoto(1)