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Thursday 3 September 2026
Thursday 3 September 2026
Welcome 11:00 - 13:00
14:00 - 14:15
Opening
Opening
Marco Prato, Università di Modena e Reggio Emilia
14:15 - 14:45
Learning Quantum Kernels
Learning Quantum Kernels
Alessandro Verri, Università di Genova
14:45 - 15:15
Hybrid Imaging Techniques for Inverse Problems: Combining Optimization Algorithms and Neural Networks
Hybrid Imaging Techniques for Inverse Problems: Combining Optimization Algorithms and Neural Networks
Elena Loli Piccolomini, Università di Bologna
15:15 - 15:45
Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring
Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring
Marco Donatelli, Università dell'Insubria
Coffee break 15:45 - 16:15
16:15 - 16:45
SQRT-ISTA: A Simple Iterative Algorithm for the Square-Root Lasso
SQRT-ISTA: A Simple Iterative Algorithm for the Square-Root Lasso
Christine De Mol, Université Libre de Bruxelles
16:45 - 17:15
An Objective-Function-Free Framework for Decentralized Optimization
An Objective-Function-Free Framework for Decentralized Optimization
Benedetta Morini, Università di Firenze
17:15 - 17:45
A Forward-Backward Stochastic Method for Linear Inverse Problems: An Application to CT Imaging
A Forward-Backward Stochastic Method for Linear Inverse Problems: An Application to CT Imaging
Ilaria Trombini, Università di Ferrara
Friday 4 September 2026
Friday 4 September 2026
9:00 - 9:30
Bregman Iterations in Imaging Science
Bregman Iterations in Imaging Science
Alessandro Benfenati, Università di Milano
9:30 - 10:00
Estimating TGV Parameters by the Balancing Principle via Scaled Gradient Projection
Estimating TGV Parameters by the Balancing Principle via Scaled Gradient Projection
Fabiana Zama, Università di Bologna
10:00 - 10:30
A Survey on the Numerical Solution of Complementarity Problems
A Survey on the Numerical Solution of Complementarity Problems
Francesco Mezzadri, Università di Modena e Reggio Emilia
Coffee break 10:30 - 11:00
11:00 - 11:30
Adaptive Aggregated Stochastic Gradient Methods with Reshuffling for Unconstrained Finite-Sum Problems
Adaptive Aggregated Stochastic Gradient Methods with Reshuffling for Unconstrained Finite-Sum Problems
Nataša Krklec Jerinkic, University of Novi Sad
11:30 - 12:00
A Speed Up Strategy for Gradient Methods
A Speed Up Strategy for Gradient Methods
Serena Crisci, Università della Campania "Luigi Vanvitelli"
12:00 - 12:30
Inexact Proximal Gradient Methods for Bilevel Learning and Imaging Applications
Inexact Proximal Gradient Methods for Bilevel Learning and Imaging Applications
Silvia Bonettini, Università di Modena e Reggio Emilia
12:30 - 12:45
Closing
Closing
Luca Zanni, Università di Modena e Reggio Emilia
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