ASF, Cesare Molinari, Jalal Fadili, A Stochastic
Bregman Primal-Dual Splitting Algorithm for Composite Optimization Pure and Applied Functional Analysis 2023, Special Edition in honor of Lev Bregman[Publisher][arXiv]
Jérôme Bolte, Tâm Lê, Edouard Pauwels, ASF, Nonsmooth Implicit Differentiation for Machine Learning and
Optimization Neural Information Processing Systems NeurIPS[Publisher][arXiv]
ASF, Cesare Molinari, Jalal Fadili, Inexact and
Stochastic Generalized Conditional Gradient with Augmented Lagrangian and Proximal Step Journal of Nonsmooth Analysis and Optimization[Publisher][arXiv]
ASF, Cesare Molinari, Jalal Fadili, Generalized
Conditional Gradient with Augmented Lagrangian for Composite
Minimization SIAM Optimization[Publisher][arXiv]
Kathy Gray, Brittany Hampton, ASF, Allison McConnel, Casey Bausell, Comparison of Bayesian Credible Intervals to Frequentist Confidence Intervals Journal of Modern Applied Statistical Methods[Publisher (pdf)]
PhD Thesis
ASF, First-Order Noneuclidean Splitting Methods for Large-Scale Optimization: Deterministic and Stochastic Algorithms University of Caen, Normandie[HAL]