Training Data-driven Experts in OPTimization

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Publicaciones

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

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

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

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

Efficiency of higher-order algorithms for minimizing general composite optimization

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

Efficiency of stochastic coordinate proximal gradient methods on nonseparable composite optimization

Autores: Necoara, I.; Chorobura, F.
Publicado en: Edición 1, 2021
Editor: ArXiv

Random coordinate descent methods for nonseparable composite optimization

Autores: Flavia Chorobura and Ion Necoara
Publicado en: 2022
Editor: AirXiv

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

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

A CNC approach for Directional Total Variation

Autores: Gabriele Scrivanti, Émilie Chouzenoux, Jean-Christophe Pesquet
Publicado en: 2022
Editor: HAL OPen Science

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 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

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

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

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

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

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

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

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

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

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

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

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

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