Training Data-driven Experts in OPTimization

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Publications

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

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

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

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

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

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

Efficiency of higher-order algorithms for minimizing general composite optimization

Author(s): Yassine Nabou and Ion Necoara
Published in: 2022
Publisher: AirXiv

Efficiency of stochastic coordinate proximal gradient methods on nonseparable composite optimization

Author(s): Necoara, I.; Chorobura, F.
Published in: Issue 1, 2021
Publisher: ArXiv

Random coordinate descent methods for nonseparable composite optimization

Author(s): Flavia Chorobura and Ion Necoara
Published in: 2022
Publisher: AirXiv

Fast iterative regularization by reusing data

Author(s): Cristian Vega, Cesare Molinari, Lorenzo Rosasco, Silvia Villa
Published in: 2022
Publisher: 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

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

A CNC approach for Directional Total Variation

Author(s): Gabriele Scrivanti, Émilie Chouzenoux, Jean-Christophe Pesquet
Published in: 2022
Publisher: HAL OPen Science

Cartoon images dataset for total variation parameter learning

Author(s): Enis Chenchene, Kristian Bredies, Alireza Hosseini
Published in: Zenodo, 2022
Publisher: CERN
DOI: 10.5281/zenodo.7267053

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

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

Author(s): Frank Schöpfer, Dirk A Lorenz, Lionel Tondji, and Maximilian Winkler
Published in: 2022
Publisher: ArXiv

Faster Randomized Block Sparse Kaczmarz by Averaging

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

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

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

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

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?

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

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

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

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*

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

Duality for composite optimization problem within the framework of abstract convexity

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

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

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

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

Degenerate preconditioned proximal point algorithms

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

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

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

Sequential convergence of AdaGrad algorithm for smooth convex optimization

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

Graph and distributed extensions of the Douglas-Rachford method

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

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

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

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

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

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

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