7 citations · 25 across the 24 of their papers we have counts for
4 papers · 1 filter
Group Distributionally Robust Optimization over Decentralized Networks
Haomin Bai, Junyan Sun, Quan Cheng +2
We study group distributionally robust optimization (GDRO) over decentralized networks, where workers collaborate to learn robust models by minimizing the maximum local risk. Exist…
Dimension-Free Decentralized Nonsmooth Nonconvex Stochastic Optimization
Yuanyu Wan, Lan Xue, Haomin Bai +2
We investigate decentralized nonsmooth nonconvex stochastic optimization over a network of nodes, with the goal of finding an -Goldstein stationary point. The best exist…
Mirror Descent Under Generalized Smoothness
Dingzhi Yu, Wei Jiang, Hongyi Tao +2
Smoothness is crucial for attaining fast rates in first-order optimization. However, many optimization problems in modern machine learning involve non-smooth objectives. Recent stu…
Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization
Wei Jiang, Sifan Yang, Wenhao Yang +3
This paper investigates projection-free algorithms for stochastic constrained multi-level optimization. In this context, the objective function is a nested composition of several s…