Preprints
I. Loris, S. Rebegoldi, Convergence analysis of a primal-dual optimization-by-continuation algorithm, submitted for publication, 2023, arXiv preprint.
S. Bonettini, M. Prato, S. Rebegoldi, A new proximal Heavy ball inexact line-search algorithm, submitted for publication, 2023.
S. Bellavia, B. Morini, S. Rebegoldi, An investigation of stochastic trust-region based algorithms for finite-sum minimization, submitted for publication, 2022.
Published/accepted journal articles
S. Crisci, S. Rebegoldi, G. Toraldo, and M. Viola, Barzilai-Borwein-like rules in proximal gradient schemes for l1−regularized problems, Optimization Methods and Software, accepted for publication, 2023, Optimization Online preprint.
S. Bonettini, D. Pezzi, M. Prato, and S. Rebegoldi, On an iteratively reweighted linesearch based algorithm for nonconvex composite optimization, Inverse Problems 39, 064001, 2023, published version.
S. Bonettini, P. Ochs, M. Prato, and S. Rebegoldi, An abstract convergence framework with application to inertial inexact forward-backward methods, Computational Optimization and Applications 84, 319-362, 2023, published version.
S. Bonettini, M. Prato, and S. Rebegoldi, A nested primal-dual FISTA-like scheme for composite convex optimization problems, Computational Optimization and Applications 84, 85-123, 2023, published version.
S. Bellavia, N. Krejic, B. Morini, and S. Rebegoldi, A stochastic first-order trust-region method with inexact restoration for finite-sum minimization, Computational Optimization and Applications 84, 53-84, 2023, published version.
S. Bellavia, B. Morini, and S. Rebegoldi, On the convergence properties of a stochastic trust-region method with inexact restoration, Axioms 12(1), 38, 2023, published version.
S. Rebegoldi, Analysis of a variable metric block coordinate method under proximal errors, Annali dell'Università di Ferrara, 2022, published version.
S. Rebegoldi, L. Calatroni, Scaled, inexact and adaptive generalized FISTA for strongly convex optimization, SIAM Journal on Optimization 32(3), 2428-2459, 2022, published version.
S. Bonettini, M. Prato, and S. Rebegoldi, New convergence results for the inexact variable metric forward—backward method, Applied Mathematics and Computation 392, 125719, 2021, published version.
S. Bonettini, M. Prato, and S. Rebegoldi, Convergence of inexact forward-backward algorithms using the forward-backward envelope, SIAM Journal on Optimization 30(4), 3069-3097, 2020, published version.
S. Bonettini, S. Rebegoldi and V. Ruggiero, Inertial variable metric techniques for the inexact forward-backward algorithm, SIAM Journal on Scientific Computing 40(5), A3180, 2018, published version.
S. Bonettini, M. Prato and S. Rebegoldi, A block coordinate variable metric linesearch based proximal gradient method, Computational Optimization and Applications 71(1), 5-52, 2018, published version.
S. Rebegoldi, L. Bautista, L. Blanc-Féraud, M. Prato, L. Zanni, and A. Plata, A comparison of edge preserving approaches for DIC microscopy, Inverse Problems 33, 085009, 2017, published version.
S. Bonettini, I . Loris, F. Porta, M. Prato, and S. Rebegoldi, On the convergence of a linesearch based proximal gradient method for nonconvex optimization, Inverse Problems 33, 055005, 2017, published version.
S. Bonettini, M. Prato, and S. Rebegoldi, A cyclic block coordinate descent method with generalized gradient projections, Applied Mathematics and Computation 286, 288-300, 2016, published version.
M. Prato, A. La Camera, S. Bonettini, S. Rebegoldi, M. Bertero, and P. Boccacci, A blind deconvolution method for ground-based telescopes and Fizeau interferometers, New Astronomy 40, 113, 2015, published version.
Published/accepted conference proceedings
L. Calatroni, and S. Rebegoldi, A scaled, inexact and adaptive Fast Iterative Soft-Thresholding Algorithm for convex image restoration, 2021 21st International Conference on Computational Science and Its Applications (ICCSA), 47-53, 2021, published version.
S. Rebegoldi, S. Bonettini, and M. Prato, A comparison of nested primal-dual forward-backward methods for Poisson image deblurring, 2021 21st International Conference on Computational Science and Its Applications (ICCSA), 87-92, 2021, published version.
M. Lazzaretti, S. Rebegoldi, L. Calatroni, and C. Estatico, A scaled and adaptive FISTA algorithm for signal-dependent sparse image super resolution problems, Lecture Notes in Computer Science 12679, 242-253, 2021, published version.
S. Rebegoldi, S. Bonettini and M. Prato, Efficient block coordinate methods for blind Cauchy denoising, Lecture Notes in Computer Science 11973, 198-211, 2020, published version.
S. Rebegoldi, S. Bonettini, and M. Prato, A Bregman inexact linesearch-based forward-backward algorithm for nonsmooth nonconvex optimization, Journal of Physics: Conference Series 1131, 012013, 2018, published version.
A. Bechensteen, S. Rebegoldi, G. Aubert, and L. Blanc-Féraud, ℓ2−ℓ0 optimization for single molecule localization microscopy, Optics InfoBase Conference Papers F105 MATH 2018, 140098, 2018, published version.
S. Rebegoldi, L. Bautista, L. Blanc-Féraud, M. Prato, L. Zanni, and A. Plata, TV-Regularized Phase Reconstruction in Differential-Interference-Contrast (DIC) Microscopy, AIP Conference Proceedings 1776, 090043, 2016, published version.
M. Prato, S. Bonettini, I. Loris, F. Porta, and S. Rebegoldi, On the constrained minimization of smooth Kurdyka-Lojasiewicz functions with the scaled gradient projection method, Journal of Physics: Conference Series 756, 012004, 2016, published version.
L. Bautista, S. Rebegoldi, L. Blanc-Féraud, M. Prato, L. Zanni, and A. Plata, Phase estimation in differential interference contrast (DIC) microscopy, Proceedings IEEE International Symposium on Biomedical Imaging , 136-139, 2016, published version.
S. Rebegoldi, S. Bonettini, and M. Prato, Application of cyclic block generalized gradient projection methods to Poisson blind deconvolution, Proceedings of the European Signal Processing Conference 2015 , 225-229, 2015, published version.
M. Prato, S. Bonettini, A. La Camera, and S. Rebegoldi, Alternating minimization for Poisson blind deconvolution in astronomy, Proceedings of the Inverse Problems from Theory to Applications Conference (IPTA 2014), 148-152, 2014.
Published/accepted book chapters
J.-B. Fest, T. Heikkila, I. Loris, S. Martin, L. Ratti, S. Rebegoldi, and G. Sarnighausen, On a fixed-point continuation method for a convex optimization problem, In: Advanced Techniques in Optimization for Machine Learning and Imaging (ATOMI), Springer INDAM Series, accepted for publication, 2023, arXiv preprint.
S. Bonettini, F. Porta, M. Prato, S. Rebegoldi, V. Ruggiero and L. Zanni, Recent advances in variable metric first order methods, In: Computational Methods for Inverse Problems in Imaging, M. Donatelli and S. Serra Capizzano, Springer INdAM Series 36, 1-31, 2019, published version.
Awards & Accolades
Selection of the publication "S. Bonettini, I. Loris, F. Porta, M. Prato and S. Rebegoldi 2017, Inverse Problems 33, 055005" for the Inverse Problems 2017 Highlights Collection.
2017 University of Ferrara: award for the best Ph.D. thesis in Mathematics (Cycle XXIX).