|
Workshop
|
|
Nonsmooth Composite Nonconvex-Concave Minimax Optimization
Jiajin Li · Linglingzhi Zhu · Anthony Man-Cho So
|
|
|
Poster
|
Wed 9:00
|
Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization
Tianyi Lin · Zeyu Zheng · Michael Jordan
|
|
|
Poster
|
Thu 9:00
|
A gradient sampling method with complexity guarantees for Lipschitz functions in high and low dimensions
Damek Davis · Dmitriy Drusvyatskiy · Yin Tat Lee · Swati Padmanabhan · Guanghao Ye
|
|
|
Poster
|
Wed 14:00
|
Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization
Aniket Das · Bernhard Schölkopf · Michael Muehlebach
|
|
|
Workshop
|
|
Accelerated Algorithms for Monotone Inclusion and Constrained Nonconvex-Nonconcave Min-Max Optimization
Yang Cai · Argyris Oikonomou · Weiqiang Zheng
|
|
|
Poster
|
Tue 9:00
|
SAPD+: An Accelerated Stochastic Method for Nonconvex-Concave Minimax Problems
Xuan Zhang · Necdet Serhat Aybat · Mert Gurbuzbalaban
|
|
|
Poster
|
|
Finding Second-Order Stationary Points in Nonconvex-Strongly-Concave Minimax Optimization
Luo Luo · Yujun Li · Cheng Chen
|
|
|
Poster
|
Thu 14:00
|
Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization
Ali Kavis · Stratis Skoulakis · Kimon Antonakopoulos · Leello Tadesse Dadi · Volkan Cevher
|
|
|
Poster
|
Tue 9:00
|
SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression
Zhize Li · Haoyu Zhao · Boyue Li · Yuejie Chi
|
|
|
Poster
|
Wed 9:00
|
Beyond L1: Faster and Better Sparse Models with skglm
Quentin Bertrand · Quentin Klopfenstein · Pierre-Antoine Bannier · Gauthier Gidel · Mathurin Massias
|
|
|
Poster
|
Tue 14:00
|
Frank-Wolfe-based Algorithms for Approximating Tyler's M-estimator
Lior Danon · Dan Garber
|
|
|
Poster
|
Wed 14:00
|
Local Linear Convergence of Gradient Methods for Subspace Optimization via Strict Complementarity
Ron Fisher · Dan Garber
|
|
