Efficient Algorithms for Empirical Group Distributional Robust Optimization and Beyond

6 March 2024

Papers citing "Efficient Algorithms for Empirical Group Distributional Robust Optimization and Beyond"

7 / 7 papers shown

Title
Multiple Greedy Quasi-Newton Methods for Saddle Point Problems Minheng Xiao Shi Bo Zhizhong Wu 28 5 0 01 Aug 2024
Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization Wei Jiang Sifan Yang Wenhao Yang Yibo Wang Yuanyu Wan Lijun Zhang 28 2 0 06 Jun 2024
Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction Wei Jiang Sifan Yang Wenhao Yang Lijun Zhang 13 3 0 01 Jun 2024
Efficient Stochastic Approximation of Minimax Excess Risk Optimization Lijun Zhang Haomin Bai W. Tu Ping Yang Yao Hu 10 3 0 31 May 2023
On-Demand Sampling: Learning Optimally from Multiple Distributions Nika Haghtalab Michael I. Jordan Eric Zhao FedML 37 34 0 22 Oct 2022
Stochastic Variance Reduction for Variational Inequality Methods Ahmet Alacaoglu Yura Malitsky 51 68 0 16 Feb 2021
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 76 736 0 19 Mar 2014