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

Nonsmooth Implicit Differentiation for Machine-Learning and Optimization. - Jérôme Bolte; Tam Le; Edouard Pauwels; Antonio Silveti-Falls (NeurIPS, 2021)

First-Order Noneuclidean Splitting Methods for Large-Scale Optimization: Deterministic and Stochastic Algorithms. (Méthodes d'Éclatement Non Euclidien du Premier Ordre pour l'Optimisation à Grande Échelle: Algorithmes Déterministes et Stochastiques). - Antonio Silveti-Falls (2021)

Differentiating Nonsmooth Solutions to Parametric Monotone Inclusion Problems. - Jérôme Bolte; Edouard Pauwels; Antonio Silveti-Falls (SIAM J. Optim., 2024)

Training Deep Learning Models with Norm-Constrained LMOs. - Thomas Pethick; Wanyun Xie; Kimon Antonakopoulos; Zhenyu Zhu; Antonio Silveti-Falls; Volkan Cevher (CoRR, 2025)