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CORDIS

Training Data-driven Experts in OPTimization

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Publications

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

Author(s): Dirk A. Lorenz and Felix Schneppe
Published in: 2022
Publisher: ArXiv

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

Author(s): Chorobura, Flavia; Necoara, Ion, I; Pesquet, Jean-Christophe
Published in: https://hal.science/hal-04571492, Issue 12, 2024
Publisher: HAL Open Science

Convergence of an Asynchronous Block-Coordinate Forward-Backward Algorithm for Convex Composite Optimization (opens in new window)

Author(s): Cheik Traoré, Saverio Salzo, Silvia Villa
Published in: 2021
Publisher: ArXiv
DOI: 10.48550/arxiv.2201.05498

Optimization Insights into Deep Diagonal Linear Networks (opens in new window)

Author(s): Hippolyte Labarrière, Cesare Molinari, Lorenzo Rosasco, Silvia Villa, Cristian Vega
Published in: 2024
Publisher: ArXiv
DOI: 10.48550/arxiv.2412.16765

Outer Approximation Scheme for Weakly Convex Constrained Optimization Problems (opens in new window)

Author(s): Ewa M. Bednarczuk, Giovanni Bruccola, Jean-Christophe Pesquet, Krzysztof Rutkowski
Published in: 2024
Publisher: Cornell University
DOI: 10.48550/arxiv.2409.14895

Finding global solutions for a class of possibly nonconvex QCQP problems through the S-lemma (opens in new window)

Author(s): Ewa M. Bednarczuk, Giovanni Bruccola
Published in: 2022
Publisher: ArXiv
DOI: 10.48550/arxiv.2206.00618

Forward-Backward algorithms for weakly convex problems

Author(s): Bednarczuk, Ewa; Bruccola, Giovanni; Scrivanti, Gabriele; Tran, The Hung
Published in: 2023
Publisher: Cornell University

Moving higher-order Taylor approximations method for smooth constrained minimization problems (opens in new window)

Author(s): Yassine Nabou, Ion Necoara
Published in: 2024
Publisher: Cornell University
DOI: 10.48550/arxiv.2402.15022

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

Author(s): F. Chorobura, I. Necoara, J.-C. Pesquet
Published in: 2024
Publisher: HAL Open Science

A consensus-based algorithm for non-convex multiplayer games (opens in new window)

Author(s): Enis Chenchene, Hui Huang, Jinniao Qiu
Published in: 2023
Publisher: Cornell University
DOI: 10.48550/arxiv.2311.08270

Fast iterative regularization by reusing data (opens in new window)

Author(s): Cristian Vega, Cesare Molinari, Lorenzo Rosasco, Silvia Villa
Published in: 2022
Publisher: ArXiv
DOI: 10.48550/arxiv.2204.10131

Primal-dual algorithm for weakly convex functions under sharpness conditions. ArXiv, 2024. (opens in new window)

Author(s): E Bednarczuk, T. H. Tran, M Syga
Published in: 2024
Publisher: arxiv
DOI: 10.48550/arxiv.2410.20977

Proximal Algorithms for a class of abstract convex functions (opens in new window)

Author(s): Ewa Bednarczuk, Dirk Lorenz, The Hung Tran
Published in: 2024
Publisher: ArXiv
DOI: 10.48550/arxiv.2402.17072

Learning Firmly Nonexpansive Operators (opens in new window)

Author(s): Kristian Bredies, Jonathan Chirinos-Rodriguez, Emanuele Naldi
Published in: 2024
Publisher: 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

Author(s): Emanuele Naldi and Giuseppe Savaré,
Published in: 2021
Publisher: AirXiv

Cartoon images dataset for total variation parameter learning (opens in new window)

Author(s): Enis Chenchene, Kristian Bredies, Alireza Hosseini
Published in: Zenodo, 2022
Publisher: 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

Author(s): M. Marques Alves, D. Lorenz, E. Naldi
Published in: 2024
Publisher: Arxiv

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

Author(s): Emilie Chouzenoux, Marie-Caroline Corbineau, Jean-Christophe Pesquet, Gabriele Scrivanti
Published in: 2022
Publisher: HAL Open Science

Faster Randomized Block Sparse Kaczmarz by Averaging

Author(s): Lionel Tondji, Dirk A Lorenz
Published in: 2022
Publisher: AirXiv

Space-Variant Image Reconstruction Via Cauchy Regularisation: Application to Optical Coherence Tomography (opens in new window)

Author(s): Alin Achim, Luca Calatroni, Serena Morigi, Gabriele Scrivanti
Published in: SSRN Electronic Journal, 2023, ISSN 1556-5068
Publisher: Elsevier
DOI: 10.2139/ssrn.4047898

Acceleration and restart for the randomized Bregman-Kaczmarz method (opens in new window)

Author(s): Lionel Tondji, Ion Necoara, Dirk A. Lorenz
Published in: Linear Algebra and its Applications, Issue 699, 2025, Page(s) 508-538, ISSN 0024-3795
Publisher: Elsevier BV
DOI: 10.1016/j.laa.2024.07.009

Rapid and Noise‐Resilient Mapping of Photogenerated Carrier Lifetime in Halide Perovskite Thin Films (opens in new window)

Author(s): Guillaume Vidon, Gabriele Scrivanti, Etienne Soret, Nao Harada, Emilie Chouzenoux, Jean‐Christophe Pesquet, Jean‐François Guillemoles, Stefania Cacovich
Published in: Advanced Functional Materials, Issue 34, 2025, ISSN 1616-301X
Publisher: John Wiley & Sons Ltd.
DOI: 10.1002/adfm.202402343

Stochastic zeroth order descent with structured directions (opens in new window)

Author(s): Marco Rando, Cesare Molinari, Silvia Villa, Lorenzo Rosasco
Published in: Computational Optimization and Applications, Issue 89, 2024, Page(s) 691-727, ISSN 0926-6003
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s10589-024-00616-1

An unrolled half-quadratic approach for sparse signal recovery in spectroscopy (opens in new window)

Author(s): Mouna Gharbi, Emilie Chouzenoux, Jean-Christophe Pesquet
Published in: Signal Processing, Issue 218, 2024, Page(s) 109369, ISSN 0165-1684
Publisher: Elsevier BV
DOI: 10.1016/j.sigpro.2023.109369

Duality for composite optimization problem within the framework of abstract convexity (opens in new window)

Author(s): Ewa Bednarczuk; The Hung Tran
Published in: Optimization: A Journal of Mathematical Programming and Operations Research, Issue Volume 72, 2023 - Issue 1, 2023, Page(s) 37-80, ISSN 0233-1934
Publisher: Taylor & Francis
DOI: 10.1080/02331934.2022.2132822

Variance Reduction Techniques for Stochastic Proximal Point Algorithms (opens in new window)

Author(s): Cheik Traoré, Vassilis Apidopoulos, Saverio Salzo, Silvia Villa
Published in: Journal of Optimization Theory and Applications, Issue 203, 2024, Page(s) 1910-1939, ISSN 0022-3239
Publisher: Kluwer Academic/Plenum Publishers
DOI: 10.1007/s10957-024-02502-6

Extended randomized Kaczmarz method for sparse least squares and impulsive noise problems (opens in new window)

Author(s): Frank Schöpfer, Dirk A. Lorenz, Lionel Tondji, Maximilian Winkler
Published in: Linear Algebra and Applications, Issue 652, 2022, Page(s) 132–154, ISSN 0024-3795
Publisher: Elsevier BV
DOI: 10.1016/j.laa.2022.07.003

Efficiency of higher-order algorithms for minimizing composite functions (opens in new window)

Author(s): Y. Nabou, I. Necoara
Published in: Computational Optimization and Applications, 2023, ISSN 1573-2894
Publisher: Springer Netherlands
DOI: 10.1007/s10589-023-00533-9

Efficiency of Stochastic Coordinate Proximal Gradient Methods on Nonseparable Composite Optimization (opens in new window)

Author(s): Ion Necoara, Flavia Chorobura
Published in: Mathematics of Operations Research, 2024, ISSN 0364-765X
Publisher: Institute for Operations Research and the Management Sciences
DOI: 10.1287/moor.2023.0044

Degenerate preconditioned proximal point algorithms (opens in new window)

Author(s): Kristian Bredies, Enis Chenchene, Dirk Lorenz, Emanuale Naldi
Published in: SIAM Journal on Optimization, Issue 10526234, 2022, Page(s) 2376-2401, ISSN 1052-6234
Publisher: Society for Industrial and Applied Mathematics
DOI: 10.1137/21m1448112

Random Coordinate Descent Methods for Nonseparable Composite Optimization (opens in new window)

Author(s): Flavia Chorobura, Ion Necoara
Published in: SIAM Journal on Optimization, Issue 33, 2023, Page(s) 2160-2190, ISSN 1052-6234
Publisher: 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 (opens in new window)

Author(s): Kristian Bredies, Jonathan Chirinos Rodriguez, Emanuele Naldi
Published in: Archiv der Mathematik, Issue 122(6), 2024, Page(s) 651-658, ISSN 0003-889X
Publisher: Birkhauser Verlag
DOI: 10.1007/s00013-024-01978-y

Wasserstein Medians: Robustness, PDE Characterization, and Numerics (opens in new window)

Author(s): G. Carlier, E. Chenchene, K. Eichinger
Published in: SIAM Journal on Mathematical Analysis, Issue 56, 2024, Page(s) 6483-6520, ISSN 0036-1410
Publisher: Society for Industrial and Applied Mathematics
DOI: 10.1137/23m1624786

Sequential convergence of AdaGrad algorithm for smooth convex optimization (opens in new window)

Author(s): Cheik Traoré, Edouard Pauwels
Published in: Operations Research Letters, Issue 49/4, 2021, Page(s) 452-458, ISSN 0167-6377
Publisher: Elsevier BV
DOI: 10.1016/j.orl.2021.04.011

On learning the optimal regularization parameter in inverse problems (opens in new window)

Author(s): Jonathan Chirinos-Rodríguez, Ernesto De Vito, Cesare Molinari, Lorenzo Rosasco, Silvia Villa
Published in: Inverse Problems, Issue 40, 2024, Page(s) 125004, ISSN 0266-5611
Publisher: Institute of Physics Publishing
DOI: 10.1088/1361-6420/ad8a84

Adaptive Bregman–Kaczmarz: an approach to solve linear inverse problems with independent noise exactly (opens in new window)

Author(s): Lionel Tondji, Idriss Tondji, Dirk Lorenz
Published in: Inverse Problems, Issue 40, 2024, Page(s) 095006, ISSN 0266-5611
Publisher: Institute of Physics Publishing
DOI: 10.1088/1361-6420/ad5fb1

Graph and distributed extensions of the Douglas-Rachford method (opens in new window)

Author(s): Kristian Bredies, Enis Chenchene, Emanuele Naldi
Published in: SIAM Journal on Optimization, Issue 34(2), 2024, Page(s) 1569-1594, ISSN 1052-6234
Publisher: 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 (opens in new window)

Author(s): Kristian Bredies, Enis Chenchene, Josef Fuchs, Bernd Luber
Published in: International Journal of Prognostics and Health Management, Issue 15, 2024, ISSN 2153-2648
Publisher: PHM Society
DOI: 10.36001/ijphm.2024.v15i2.3919

The degenerate variable metric proximal point algorithm and adaptive stepsizes for primal–dual Douglas–Rachford (opens in new window)

Author(s): Dirk A. Lorenz, Jannis Marquardt, Emanuele Naldi
Published in: Optimization, 2024, Page(s) 1-27, ISSN 0233-1934
Publisher: Taylor & Francis
DOI: 10.1080/02331934.2024.2325552

Linearly convergent adjoint free solution of least squares problems by random descent (opens in new window)

Author(s): Dirk A. Lorenz, Felix Schneppe, and Lionel Tondji
Published in: Inverse Problems, Issue Volume 39, Number 12, 2023, ISSN 0266-5611
Publisher: Institute of Physics Publishing
DOI: 10.1088/1361-6420/ad08ed

On global solvability of a class of possibly nonconvex QCQP problems in Hilbert spaces (opens in new window)

Author(s): Ewa M. Bednarczuk, Giovanni Bruccola
Published in: Optimisation, 2023, ISSN 0233-1934
Publisher: Taylor & Francis
DOI: 10.1080/02331934.2023.2281640

Random Activations in Primal-Dual Splittings for Monotone Inclusions with a Priori Information (opens in new window)

Author(s): Luis Briceño-Arias, Julio Deride, Cristian Vega
Published in: Journal of Optimization Theory and Applications volume 192, issue 1, pages 56–81 (2022), 2022, ISSN 0022-3239
Publisher: 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 (opens in new window)

Author(s): 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
Published in: Applied Magnetic Resonance, 2023, ISSN 0937-9347
Publisher: Springer Verlag
DOI: 10.1007/s00723-023-01584-1

Proximal gradient methods with inexact oracle of degree q for composite optimization (opens in new window)

Author(s): Yassine Nabou, François Glineur, Ion Necoara
Published in: Optimization Letters, 2024, ISSN 1862-4472
Publisher: Springer Verlag
DOI: 10.1007/s11590-024-02118-9

Coordinate descent methods beyond smoothness and separability (opens in new window)

Author(s): Flavia Chorobura, Ion Necoara
Published in: Computational Optimization and Applications, Issue 88, 2024, Page(s) 107-149, ISSN 0926-6003
Publisher: 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 (opens in new window)

Author(s): Y Nabou, L Toma and I Necoara
Published in: European Control Conference (ECC), 2023, Page(s) 1-6
Publisher: IEEE
DOI: 10.23919/ecc57647.2023.10178179

Calculus rules for proximal ε-subdifferentials and inexact proximity operators for weakly convex functions (opens in new window)

Author(s): Ewa Bednarczuk, Giovanni Bruccola, Gabriele Scrivanti, The Hung Tran
Published in: 2023 European Control Conference (ECC), 2024, Page(s) 1-8
Publisher: IEEE
DOI: 10.23919/ecc57647.2023.10178118

Coordinate projected gradient descent minimization and its application to orthogonal nonnegative matrix factorization (opens in new window)

Author(s): Flavia Chorobura, Daniela Lupu, Ion Necoara
Published in: IEEE 61st Conference on Decision and Control (CDC), 2022, Page(s) 6929-6934
Publisher: IEEE
DOI: 10.1109/cdc51059.2022.9992996

Can random proximal coordinate descent be accelerated on nonseparable convex composite minimization problems? (opens in new window)

Author(s): Flavia Chorobura, Francois Glineur and Ion Necoara
Published in: European Control Conference (ECC), 2023
Publisher: IEEE
DOI: 10.23919/ecc57647.2023.10178217

Unrolled Deep Networks for Sparse Signal Restoration in Analytical Chemistry (opens in new window)

Author(s): Mouna Gharbi, Silvia Villa, Emilie Chouzenoux, Jean-Christophe Pesquet, Laurent Duval
Published in: 2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP), 2024, Page(s) 1-6
Publisher: IEEE
DOI: 10.1109/mlsp58920.2024.10734838

Snacks: a fast large-scale kernel SVM solver (opens in new window)

Author(s): Sofiane Tanji, Andrea Della Vecchia, François Glineur, Silvia Villa
Published in: 2023 European Control Conference (ECC), 2024, Page(s) 1-6
Publisher: IEEE
DOI: 10.23919/ecc57647.2023.10178323

On the Worst-Case Analysis of Cyclic Coordinate-Wise Algorithms on Smooth Convex Functions (opens in new window)

Author(s): Yassine Kamri, Julien M. Hendrickx, François Glineur
Published in: 2023 European Control Conference (ECC), 2024, Page(s) 1-8
Publisher: IEEE
DOI: 10.23919/ecc57647.2023.10178198

A hybrid proximal generalized conditional gradient method and application to total variation parameter learning (opens in new window)

Author(s): Enis Chenchene, Kristian Bredies, Alireza Hosseini
Published in: 2023 European Control Conference (ECC), 2022, Page(s) 322-327
Publisher: IEEE
DOI: 10.23919/ecc57647.2023.10178166

Regularized Bregman Approach for Total-Variation Parameter Learning (opens in new window)

Author(s): Kristian Bredies, Enis Chenchene
Published in: Proceedings of the OAGM Workshop 2023, 2023
Publisher: Verlag der TU Graz
DOI: 10.5281/zenodo.14332592

A CNC approach for Directional Total Variation (opens in new window)

Author(s): Gabriele Scrivanti, Émilie Chouzenoux, Jean-Christophe Pesquet
Published in: 2022
Publisher: HAL OPen Science
DOI: 10.48550/arxiv.2209.01376

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

Author(s): Mouna Gharbi, E. Chouzenoux, J.-C. Pesquet, L. Duval
Published in: Proceedings of the 29th European Signal Processing Conference, EUSIPCO 2021, Issue 29, 2021, Page(s) 2094-2098
Publisher: Eurasip open library

An accelerated randomized Bregman-Kaczmarz method for strongly convex linearly constraint optimization* (opens in new window)

Author(s): L. Tondji, D. A. Lorenz and I. Necoara
Published in: 2023 European Control Conference (ECC), 2023, Page(s) 1-6
Publisher: IEEE
DOI: 10.23919/ecc57647.2023.10178390

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