Lagrangian Penalization Scheme with Parallel Forward-Backward Splitting. - Cesare Molinari; Juan Peypouquet (J. Optim. Theory Appl., 2018)

Convergence Rates of Forward-Douglas-Rachford Splitting Method. - Cesare Molinari; Jingwei Liang; Jalal Fadili (J. Optim. Theory Appl., 2019)

Implicit regularization for convex regularizers. - Cesare Molinari; Mathurin Massias; Lorenzo Rosasco; Silvia Villa (CoRR, 2020)

Alternating forward-backward splitting for linearly constrained optimization problems. - Cesare Molinari; Juan Peypouquet; Fernando Roldán (Optim. Lett., 2020)

Generalized Conditional Gradient with Augmented Lagrangian for Composite Minimization. - Antonio Silveti-Falls; Cesare Molinari; Jalal Fadili (SIAM J. Optim., 2020)

Iterative regularization for convex regularizers. - Cesare Molinari; Mathurin Massias; Lorenzo Rosasco; Silvia Villa (AISTATS, 2021)

Regularization Properties of Dual Subgradient Flow. - Vassilis Apidopoulos; Cesare Molinari; Lorenzo Rosasco; Silvia Villa (ECC, 2023)

An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization. - Marco Rando; Cesare Molinari; Lorenzo Rosasco; Silvia Villa (NeurIPS, 2023)

Be greedy and learn: efficient and certified algorithms for parametrized optimal control problems. - Hendrik Kleikamp; Martin Lazar; Cesare Molinari (CoRR, 2023)

Zeroth-order optimization with orthogonal random directions. - David Kozak; Cesare Molinari; Lorenzo Rosasco; Luis Tenorio; Silvia Villa (Math. Program., 2023)

Automatic Gain Tuning for Humanoid Robots Walking Architectures Using Gradient-Free Optimization Techniques. - Carlotta Sartore; Marco Rando; Giulio Romualdi; Cesare Molinari; Lorenzo Rosasco; Daniele Pucci (Humanoids, 2024)

Optimization Insights into Deep Diagonal Linear Networks. - Hippolyte Labarrière; Cesare Molinari; Lorenzo Rosasco; Silvia Villa; Cristian Vega (CoRR, 2024)

Iterative regularization for low complexity regularizers. - Cesare Molinari; Mathurin Massias; Lorenzo Rosasco; Silvia Villa (Numerische Mathematik, 2024)

Stochastic zeroth order descent with structured directions. - Marco Rando; Cesare Molinari; Silvia Villa; Lorenzo Rosasco (Comput. Optim. Appl., 2024)

Linear quadratic control of nonlinear systems with Koopman operator learning and the Nyström method. - Edoardo Caldarelli; Antoine Chatalic; Adrià Colomé; Cesare Molinari; Carlos Ocampo-Martinez; Carme Torras; Lorenzo Rosasco (Autom., 2025)

A Structured Tour of Optimization with Finite Differences. - Marco Rando; Cesare Molinari; Lorenzo Rosasco; Silvia Villa (CoRR, 2025)