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cs.LG2023
Universal Online Learning with Gradient Variations: A Multi-layer Online Ensemble Approach
Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou
In this paper, we propose an online convex optimization approach with two different levels of adaptivity. On a higher level, our approach is agnostic to the unknown types and curva…
cs.LG2023
Stochastic Approximation Approaches to Group Distributionally Robust Optimization and Beyond
Lijun Zhang, Haomin Bai, Peng Zhao +2
This paper investigates group distributionally robust optimization (GDRO) with the goal of learning a model that performs well over different distributions. First, we formulate…