Adaptive Conditional Gradient Descent
Abbas Khademi, ASF Submitted[arXiv][HAL]
Published
Generalized Gradient Norm Clipping & Non-Euclidean (L0,L1)-Smoothness
Thomas Pethick, Wanyun Xie, Mete Erdogan, Kimon Antonakopoulos, ASF, Volkan Cevher Neural Information Processing Systems NeurIPS (Oral)[arXiv]
Training Deep Learning Models with Norm-Constrained LMOs
Thomas Pethick, Wanyun Xie, Kimon Antonakopoulos, Zhenyu Zhu, ASF, Volkan Cevher International Conference on Machine Learning ICML (Spotlight)[arXiv]
A Stochastic
Bregman Primal-Dual Splitting Algorithm for Composite Optimization ASF, Cesare Molinari, Jalal Fadili Pure and Applied Functional Analysis 2023, Special Edition in honor of Lev Bregman[Publisher][arXiv]
Nonsmooth Implicit Differentiation for Machine Learning and
Optimization
Jérôme Bolte, Tâm Lê, Edouard Pauwels, ASF Neural Information Processing Systems NeurIPS[Publisher][arXiv]
Inexact and
Stochastic Generalized Conditional Gradient with Augmented Lagrangian and Proximal Step ASF, Cesare Molinari, Jalal Fadili Journal of Nonsmooth Analysis and Optimization[Publisher][arXiv]
Generalized
Conditional Gradient with Augmented Lagrangian for Composite
Minimization ASF, Cesare Molinari, Jalal Fadili SIAM Optimization[Publisher][arXiv]
Comparison of Bayesian Credible Intervals to Frequentist Confidence Intervals
Kathy Gray, Brittany Hampton, ASF, Allison McConnel, Casey Bausell Journal of Modern Applied Statistical Methods[Publisher (pdf)]
PhD Thesis
First-Order Noneuclidean Splitting Methods for Large-Scale Optimization: Deterministic and Stochastic Algorithms ASF University of Caen, Normandie[HAL]