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2020 – today
- 2024
[j7]Marco Rando, Cesare Molinari, Silvia Villa, Lorenzo Rosasco:
Stochastic zeroth order descent with structured directions. Comput. Optim. Appl. 89(3): 691-727 (2024)- [j6]Cesare Molinari, Mathurin Massias, Lorenzo Rosasco, Silvia Villa:
Iterative regularization for low complexity regularizers. Numerische Mathematik 156(2): 641-689 (2024) - [c4]Carlotta Sartore, Marco Rando, Giulio Romualdi, Cesare Molinari, Lorenzo Rosasco, Daniele Pucci:
Automatic Gain Tuning for Humanoid Robots Walking Architectures Using Gradient-Free Optimization Techniques. Humanoids 2024: 996-1003 - [i5]Edoardo Caldarelli, Antoine Chatalic, Adrià Colomé, Cesare Molinari, Carlos Ocampo-Martinez, Carme Torras, Lorenzo Rosasco:
Linear quadratic control of nonlinear systems with Koopman operator learning and the Nyström method. CoRR abs/2403.02811 (2024) - [i4]Carlotta Sartore, Marco Rando, Giulio Romualdi, Cesare Molinari, Lorenzo Rosasco, Daniele Pucci:
Automatic Gain Tuning for Humanoid Robots Walking Architectures Using Gradient-Free Optimization Techniques. CoRR abs/2409.18649 (2024) - 2023
- [j5]David Kozak
, Cesare Molinari, Lorenzo Rosasco, Luis Tenorio, Silvia Villa:
Zeroth-order optimization with orthogonal random directions. Math. Program. 199(1): 1179-1219 (2023) - [c3]Vassilis Apidopoulos, Cesare Molinari, Lorenzo Rosasco, Silvia Villa:
Regularization Properties of Dual Subgradient Flow. ECC 2023: 1-8 - [c2]Marco Rando, Cesare Molinari, Lorenzo Rosasco, Silvia Villa:
An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization. NeurIPS 2023 - [i3]Hendrik Kleikamp, Martin Lazar, Cesare Molinari:
Be greedy and learn: efficient and certified algorithms for parametrized optimal control problems. CoRR abs/2307.15590 (2023) - 2022
- [i2]Marco Rando, Cesare Molinari, Silvia Villa, Lorenzo Rosasco:
Stochastic Zeroth order Descent with Structured Directions. CoRR abs/2206.05124 (2022) - 2021
- [c1]Cesare Molinari, Mathurin Massias, Lorenzo Rosasco, Silvia Villa:
Iterative regularization for convex regularizers. AISTATS 2021: 1684-1692 - 2020
- [j4]Cesare Molinari, Juan Peypouquet, Fernando Roldán:
Alternating forward-backward splitting for linearly constrained optimization problems. Optim. Lett. 14(5): 1071-1088 (2020) - [j3]Antonio Silveti-Falls, Cesare Molinari, Jalal Fadili:
Generalized Conditional Gradient with Augmented Lagrangian for Composite Minimization. SIAM J. Optim. 30(4): 2687-2725 (2020) - [i1]Cesare Molinari, Mathurin Massias, Lorenzo Rosasco, Silvia Villa:
Implicit regularization for convex regularizers. CoRR abs/2006.09859 (2020)
2010 – 2019
- 2019
- [j2]Cesare Molinari, Jingwei Liang, Jalal Fadili:
Convergence Rates of Forward-Douglas-Rachford Splitting Method. J. Optim. Theory Appl. 182(2): 606-639 (2019) - 2018
- [j1]Cesare Molinari, Juan Peypouquet:
Lagrangian Penalization Scheme with Parallel Forward-Backward Splitting. J. Optim. Theory Appl. 177(2): 413-447 (2018)
Coauthor Index
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