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Training Data-driven Experts in OPTimization

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Publicaciones

Chambolle-Pock's Primal-Dual Method with Mismatched Adjoint

Autores: Dirk A. Lorenz and Felix Schneppe
Publicado en: 2022
Editor: ArXiv

AN ADAPTIVE FORWARD-BACKWARD-FORWARD SPLITTING ALGORITHM FOR SOLVING PSEUDO-MONOTONE INCLUSIONS

Autores: Chorobura, Flavia; Necoara, Ion, I; Pesquet, Jean-Christophe
Publicado en: https://hal.science/hal-04571492, Edición 12, 2024
Editor: HAL Open Science

Convergence of an Asynchronous Block-Coordinate Forward-Backward Algorithm for Convex Composite Optimization

Autores: Cheik Traoré, Saverio Salzo, Silvia Villa
Publicado en: 2021
Editor: ArXiv
DOI: 10.48550/arxiv.2201.05498

Optimization Insights into Deep Diagonal Linear Networks

Autores: Hippolyte Labarrière, Cesare Molinari, Lorenzo Rosasco, Silvia Villa, Cristian Vega
Publicado en: 2024
Editor: ArXiv
DOI: 10.48550/arxiv.2412.16765

Outer Approximation Scheme for Weakly Convex Constrained Optimization Problems

Autores: Ewa M. Bednarczuk, Giovanni Bruccola, Jean-Christophe Pesquet, Krzysztof Rutkowski
Publicado en: 2024
Editor: Cornell University
DOI: 10.48550/arxiv.2409.14895

Finding global solutions for a class of possibly nonconvex QCQP problems through the S-lemma

Autores: Ewa M. Bednarczuk, Giovanni Bruccola
Publicado en: 2022
Editor: ArXiv
DOI: 10.48550/arxiv.2206.00618

Forward-Backward algorithms for weakly convex problems

Autores: Bednarczuk, Ewa; Bruccola, Giovanni; Scrivanti, Gabriele; Tran, The Hung
Publicado en: 2023
Editor: Cornell University

Efficiency of higher-order algorithms for minimizing general composite optimization

Autores: Yassine Nabou and Ion Necoara
Publicado en: 2022
Editor: AirXiv

Moving higher-order Taylor approximations method for smooth constrained minimization problems

Autores: Yassine Nabou, Ion Necoara
Publicado en: 2024
Editor: Cornell University
DOI: 10.48550/arxiv.2402.15022

AN ADAPTIVE FORWARD-BACKWARD-FORWARD SPLITTING ALGORITHM FOR SOLVING PSEUDO-MONOTONE INCLUSIONS

Autores: F. Chorobura, I. Necoara, J.-C. Pesquet
Publicado en: 2024
Editor: HAL Open Science

A consensus-based algorithm for non-convex multiplayer games

Autores: Enis Chenchene, Hui Huang, Jinniao Qiu
Publicado en: 2023
Editor: Cornell University
DOI: 10.48550/arxiv.2311.08270

Fast iterative regularization by reusing data

Autores: Cristian Vega, Cesare Molinari, Lorenzo Rosasco, Silvia Villa
Publicado en: 2022
Editor: ArXiv
DOI: 10.48550/arxiv.2204.10131

Primal-dual algorithm for weakly convex functions under sharpness conditions. ArXiv, 2024.

Autores: E Bednarczuk, T. H. Tran, M Syga
Publicado en: 2024
Editor: arxiv
DOI: 10.48550/arxiv.2410.20977

Proximal Algorithms for a class of abstract convex functions

Autores: Ewa Bednarczuk, Dirk Lorenz, The Hung Tran
Publicado en: 2024
Editor: ArXiv
DOI: 10.48550/arxiv.2402.17072

Learning Firmly Nonexpansive Operators

Autores: Kristian Bredies, Jonathan Chirinos-Rodriguez, Emanuele Naldi
Publicado en: 2024
Editor: arXiv
DOI: 10.48550/arxiv.2407.14156

Weak topology and Opial property in Wasserstein spaces, with applications to Gradient Flows and Proximal Point Algorithms of geodesically convex functionals

Autores: Emanuele Naldi and Giuseppe Savaré,
Publicado en: 2021
Editor: AirXiv

Cartoon images dataset for total variation parameter learning

Autores: Enis Chenchene, Kristian Bredies, Alireza Hosseini
Publicado en: Zenodo, 2022
Editor: CERN
DOI: 10.5281/zenodo.7267053

A general framework for inexact splitting algorithms with relative errors and applications to Chambolle-Pock and Davis-Yin methods

Autores: M. Marques Alves, D. Lorenz, E. Naldi
Publicado en: 2024
Editor: Arxiv

A variational approach for joint image recovery-segmentation based on spatially varying generalised Gaussian models

Autores: Emilie Chouzenoux, Marie-Caroline Corbineau, Jean-Christophe Pesquet, Gabriele Scrivanti
Publicado en: 2022
Editor: HAL Open Science

Extended Randomized Kaczmarz Method for Sparse Least Squares and Impulsive Noise Problems

Autores: Frank Schöpfer, Dirk A Lorenz, Lionel Tondji, and Maximilian Winkler
Publicado en: 2022
Editor: ArXiv

Faster Randomized Block Sparse Kaczmarz by Averaging

Autores: Lionel Tondji, Dirk A Lorenz
Publicado en: 2022
Editor: AirXiv

Space-Variant Image Reconstruction Via Cauchy Regularisation: Application to Optical Coherence Tomography

Autores: Alin Achim, Luca Calatroni, Serena Morigi, Gabriele Scrivanti
Publicado en: SSRN Electronic Journal, 2023, ISSN 1556-5068
Editor: Elsevier
DOI: 10.2139/ssrn.4047898

Acceleration and restart for the randomized Bregman-Kaczmarz method

Autores: Lionel Tondji, Ion Necoara, Dirk A. Lorenz
Publicado en: Linear Algebra and its Applications, Edición 699, 2025, Página(s) 508-538, ISSN 0024-3795
Editor: Elsevier BV
DOI: 10.1016/j.laa.2024.07.009

Rapid and Noise‐Resilient Mapping of Photogenerated Carrier Lifetime in Halide Perovskite Thin Films

Autores: Guillaume Vidon, Gabriele Scrivanti, Etienne Soret, Nao Harada, Emilie Chouzenoux, Jean‐Christophe Pesquet, Jean‐François Guillemoles, Stefania Cacovich
Publicado en: Advanced Functional Materials, Edición 34, 2025, ISSN 1616-301X
Editor: John Wiley & Sons Ltd.
DOI: 10.1002/adfm.202402343

Stochastic zeroth order descent with structured directions

Autores: Marco Rando, Cesare Molinari, Silvia Villa, Lorenzo Rosasco
Publicado en: Computational Optimization and Applications, Edición 89, 2024, Página(s) 691-727, ISSN 0926-6003
Editor: Kluwer Academic Publishers
DOI: 10.1007/s10589-024-00616-1

An unrolled half-quadratic approach for sparse signal recovery in spectroscopy

Autores: Mouna Gharbi, Emilie Chouzenoux, Jean-Christophe Pesquet
Publicado en: Signal Processing, Edición 218, 2024, Página(s) 109369, ISSN 0165-1684
Editor: Elsevier BV
DOI: 10.1016/j.sigpro.2023.109369

Duality for composite optimization problem within the framework of abstract convexity

Autores: Ewa Bednarczuk; The Hung Tran
Publicado en: Optimization: A Journal of Mathematical Programming and Operations Research, Edición Volume 72, 2023 - Edición 1, 2023, Página(s) 37-80, ISSN 0233-1934
Editor: Taylor & Francis
DOI: 10.1080/02331934.2022.2132822

Variance Reduction Techniques for Stochastic Proximal Point Algorithms

Autores: Cheik Traoré, Vassilis Apidopoulos, Saverio Salzo, Silvia Villa
Publicado en: Journal of Optimization Theory and Applications, Edición 203, 2024, Página(s) 1910-1939, ISSN 0022-3239
Editor: Kluwer Academic/Plenum Publishers
DOI: 10.1007/s10957-024-02502-6

Extended randomized Kaczmarz method for sparse least squares and impulsive noise problems

Autores: Frank Schöpfer, Dirk A. Lorenz, Lionel Tondji, Maximilian Winkler
Publicado en: Linear Algebra and Applications, Edición 652, 2022, Página(s) 132–154, ISSN 0024-3795
Editor: Elsevier BV
DOI: 10.1016/j.laa.2022.07.003

Efficiency of higher-order algorithms for minimizing composite functions

Autores: Y. Nabou, I. Necoara
Publicado en: Computational Optimization and Applications, 2023, ISSN 1573-2894
Editor: Springer Netherlands
DOI: 10.1007/s10589-023-00533-9

Efficiency of Stochastic Coordinate Proximal Gradient Methods on Nonseparable Composite Optimization

Autores: Ion Necoara, Flavia Chorobura
Publicado en: Mathematics of Operations Research, 2024, ISSN 0364-765X
Editor: Institute for Operations Research and the Management Sciences
DOI: 10.1287/moor.2023.0044

Degenerate preconditioned proximal point algorithms

Autores: Kristian Bredies, Enis Chenchene, Dirk Lorenz, Emanuale Naldi
Publicado en: SIAM Journal on Optimization, Edición 10526234, 2022, Página(s) 2376-2401, ISSN 1052-6234
Editor: Society for Industrial and Applied Mathematics
DOI: 10.1137/21m1448112

Random Coordinate Descent Methods for Nonseparable Composite Optimization

Autores: Flavia Chorobura, Ion Necoara
Publicado en: SIAM Journal on Optimization, Edición 33, 2023, Página(s) 2160-2190, ISSN 1052-6234
Editor: Society for Industrial and Applied Mathematics
DOI: 10.1137/22m148700x

On extreme points and representer theorems for the Lipschitz unit ball on finite metric spaces

Autores: Kristian Bredies, Jonathan Chirinos Rodriguez, Emanuele Naldi
Publicado en: Archiv der Mathematik, Edición 122(6), 2024, Página(s) 651-658, ISSN 0003-889X
Editor: Birkhauser Verlag
DOI: 10.1007/s00013-024-01978-y

Wasserstein Medians: Robustness, PDE Characterization, and Numerics

Autores: G. Carlier, E. Chenchene, K. Eichinger
Publicado en: SIAM Journal on Mathematical Analysis, Edición 56, 2024, Página(s) 6483-6520, ISSN 0036-1410
Editor: Society for Industrial and Applied Mathematics
DOI: 10.1137/23m1624786

Sequential convergence of AdaGrad algorithm for smooth convex optimization

Autores: Cheik Traoré, Edouard Pauwels
Publicado en: Operations Research Letters, Edición 49/4, 2021, Página(s) 452-458, ISSN 0167-6377
Editor: Elsevier BV
DOI: 10.1016/j.orl.2021.04.011

On learning the optimal regularization parameter in inverse problems

Autores: Jonathan Chirinos-Rodríguez, Ernesto De Vito, Cesare Molinari, Lorenzo Rosasco, Silvia Villa
Publicado en: Inverse Problems, Edición 40, 2024, Página(s) 125004, ISSN 0266-5611
Editor: Institute of Physics Publishing
DOI: 10.1088/1361-6420/ad8a84

Adaptive Bregman–Kaczmarz: an approach to solve linear inverse problems with independent noise exactly

Autores: Lionel Tondji, Idriss Tondji, Dirk Lorenz
Publicado en: Inverse Problems, Edición 40, 2024, Página(s) 095006, ISSN 0266-5611
Editor: Institute of Physics Publishing
DOI: 10.1088/1361-6420/ad5fb1

Graph and distributed extensions of the Douglas-Rachford method

Autores: Kristian Bredies, Enis Chenchene, Emanuele Naldi
Publicado en: SIAM Journal on Optimization, Edición 34(2), 2024, Página(s) 1569-1594, ISSN 1052-6234
Editor: Society for Industrial and Applied Mathematics
DOI: 10.1137/22m1535097

Proximal Gauss-Newton Method for Box-constrained Parameter Identification of a Nonlinear Railway Suspension System

Autores: Kristian Bredies, Enis Chenchene, Josef Fuchs, Bernd Luber
Publicado en: International Journal of Prognostics and Health Management, Edición 15, 2024, ISSN 2153-2648
Editor: PHM Society
DOI: 10.36001/ijphm.2024.v15i2.3919

The degenerate variable metric proximal point algorithm and adaptive stepsizes for primal–dual Douglas–Rachford

Autores: Dirk A. Lorenz, Jannis Marquardt, Emanuele Naldi
Publicado en: Optimization, 2024, Página(s) 1-27, ISSN 0233-1934
Editor: Taylor & Francis
DOI: 10.1080/02331934.2024.2325552

Linearly convergent adjoint free solution of least squares problems by random descent

Autores: Dirk A. Lorenz, Felix Schneppe, and Lionel Tondji
Publicado en: Inverse Problems, Edición Volume 39, Number 12, 2023, ISSN 0266-5611
Editor: Institute of Physics Publishing
DOI: 10.1088/1361-6420/ad08ed

On global solvability of a class of possibly nonconvex QCQP problems in Hilbert spaces

Autores: Ewa M. Bednarczuk, Giovanni Bruccola
Publicado en: Optimisation, 2023, ISSN 0233-1934
Editor: Taylor & Francis
DOI: 10.1080/02331934.2023.2281640

Random Activations in Primal-Dual Splittings for Monotone Inclusions with a Priori Information

Autores: Luis Briceño-Arias, Julio Deride, Cristian Vega
Publicado en: Journal of Optimization Theory and Applications volume 192, issue 1, pages 56–81 (2022), 2022, ISSN 0022-3239
Editor: Kluwer Academic/Plenum Publishers
DOI: 10.1007/s10957-021-01944-6

In Vivo Myelin Water Quantification Using Diffusion–Relaxation Correlation MRI: A Comparison of 1D and 2D Methods

Autores: Sebastian Endt, Maria Engel, Emanuele Naldi, Rodolfo Assereto, Malwina Molendowska, Lars Mueller, Claudio Mayrink Verdun, Carolin M. Pirkl, Marco Palombo, Derek K. Jones, Marion I. Menzel
Publicado en: Applied Magnetic Resonance, 2023, ISSN 0937-9347
Editor: Springer Verlag
DOI: 10.1007/s00723-023-01584-1

Proximal gradient methods with inexact oracle of degree q for composite optimization

Autores: Yassine Nabou, François Glineur, Ion Necoara
Publicado en: Optimization Letters, 2024, ISSN 1862-4472
Editor: Springer Verlag
DOI: 10.1007/s11590-024-02118-9

Coordinate descent methods beyond smoothness and separability

Autores: Flavia Chorobura, Ion Necoara
Publicado en: Computational Optimization and Applications, Edición 88, 2024, Página(s) 107-149, ISSN 0926-6003
Editor: Kluwer Academic Publishers
DOI: 10.1007/s10589-024-00556-w

Modified projected Gauss-Newton method for constrained nonlinear least-squares: application to power flow analysis

Autores: Y Nabou, L Toma and I Necoara
Publicado en: European Control Conference (ECC), 2023, Página(s) 1-6
Editor: IEEE
DOI: 10.23919/ecc57647.2023.10178179

Calculus rules for proximal ε-subdifferentials and inexact proximity operators for weakly convex functions

Autores: Ewa Bednarczuk, Giovanni Bruccola, Gabriele Scrivanti, The Hung Tran
Publicado en: 2023 European Control Conference (ECC), 2024, Página(s) 1-8
Editor: IEEE
DOI: 10.23919/ecc57647.2023.10178118

Coordinate projected gradient descent minimization and its application to orthogonal nonnegative matrix factorization

Autores: Flavia Chorobura, Daniela Lupu, Ion Necoara
Publicado en: IEEE 61st Conference on Decision and Control (CDC), 2022, Página(s) 6929-6934
Editor: IEEE
DOI: 10.1109/cdc51059.2022.9992996

Can random proximal coordinate descent be accelerated on nonseparable convex composite minimization problems?

Autores: Flavia Chorobura, Francois Glineur and Ion Necoara
Publicado en: European Control Conference (ECC), 2023
Editor: IEEE
DOI: 10.23919/ecc57647.2023.10178217

Unrolled Deep Networks for Sparse Signal Restoration in Analytical Chemistry

Autores: Mouna Gharbi, Silvia Villa, Emilie Chouzenoux, Jean-Christophe Pesquet, Laurent Duval
Publicado en: 2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP), 2024, Página(s) 1-6
Editor: IEEE
DOI: 10.1109/mlsp58920.2024.10734838

Snacks: a fast large-scale kernel SVM solver

Autores: Sofiane Tanji, Andrea Della Vecchia, François Glineur, Silvia Villa
Publicado en: 2023 European Control Conference (ECC), 2024, Página(s) 1-6
Editor: IEEE
DOI: 10.23919/ecc57647.2023.10178323

On the Worst-Case Analysis of Cyclic Coordinate-Wise Algorithms on Smooth Convex Functions

Autores: Yassine Kamri, Julien M. Hendrickx, François Glineur
Publicado en: 2023 European Control Conference (ECC), 2024, Página(s) 1-8
Editor: IEEE
DOI: 10.23919/ecc57647.2023.10178198

A hybrid proximal generalized conditional gradient method and application to total variation parameter learning

Autores: Enis Chenchene, Kristian Bredies, Alireza Hosseini
Publicado en: 2023 European Control Conference (ECC), 2022, Página(s) 322-327
Editor: IEEE
DOI: 10.23919/ecc57647.2023.10178166

Regularized Bregman Approach for Total-Variation Parameter Learning

Autores: Kristian Bredies, Enis Chenchene
Publicado en: Proceedings of the OAGM Workshop 2023, 2023
Editor: Verlag der TU Graz
DOI: 10.5281/zenodo.14332592

A CNC approach for Directional Total Variation

Autores: Gabriele Scrivanti, Émilie Chouzenoux, Jean-Christophe Pesquet
Publicado en: 2022
Editor: HAL OPen Science
DOI: 10.48550/arxiv.2209.01376

GPU-based Implementations of MM Algorithms.Application to Spectroscopy Signal Restoration

Autores: Mouna Gharbi, E. Chouzenoux, J.-C. Pesquet, L. Duval
Publicado en: Proceedings of the 29th European Signal Processing Conference, EUSIPCO 2021, Edición 29, 2021, Página(s) 2094-2098
Editor: Eurasip open library

An accelerated randomized Bregman-Kaczmarz method for strongly convex linearly constraint optimization*

Autores: L. Tondji, D. A. Lorenz and I. Necoara
Publicado en: 2023 European Control Conference (ECC), 2023, Página(s) 1-6
Editor: IEEE
DOI: 10.23919/ecc57647.2023.10178390

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