Distributionally Robust Optimization: A Review

13 August 2019

Papers citing "Distributionally Robust Optimization: A Review"

9 / 9 papers shown

Title
Nonsmooth Nonconvex-Nonconcave Minimax Optimization: Primal-Dual Balancing and Iteration Complexity Analysis Jiajin Li Lingling Zhu Anthony Man-Cho So 54 4 0 17 Jan 2025
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation Kexin Zhang Shuhan Liu Song Wang Weili Shi Chen Chen Pan Li Sheng Li Jundong Li Kaize Ding OOD 53 2 0 25 Oct 2024
Combining Wasserstein-1 and Wasserstein-2 proximals: robust manifold learning via well-posed generative flows Hyemin Gu Markos A. Katsoulakis Luc Rey-Bellet Benjamin J. Zhang 45 3 0 16 Jul 2024
An Inexact Halpern Iteration with Application to Distributionally Robust Optimization Ling Liang Kim-Chuan Toh Jia Jie Zhu 32 4 0 08 Feb 2024
Learning Against Distributional Uncertainty: On the Trade-off Between Robustness and Specificity Shixiong Wang Haowei Wang Xinke Li Jean Honorio OOD 65 1 0 31 Jan 2023
Distributional Robustness Bounds Generalization Errors Shixiong Wang Haowei Wang OOD 35 4 0 20 Dec 2022
A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization Ashwinee Panda Xinyu Tang Saeed Mahloujifar Vikash Sehwag Prateek Mittal 43 11 0 08 Dec 2022
Classifying with Uncertain Data Envelopment Analysis Casey Garner A. Holder 15 2 0 02 Sep 2022
Sample Out-Of-Sample Inference Based on Wasserstein Distance Jose H. Blanchet Yang Kang 31 35 0 04 May 2016