Unifying Distributionally Robust Optimization via Optimal Transport Theory

10 August 2023

Papers citing "Unifying Distributionally Robust Optimization via Optimal Transport Theory"

8 / 8 papers shown

Title
DRO: A Python Library for Distributionally Robust Optimization in Machine Learning Jiashuo Liu Tianyu Wang Henry Lam Hongseok Namkoong Jose H. Blanchet AI4CE 58 1 0 29 May 2025
Proximal optimal transport divergences Ricardo Baptista Panagiota Birmpa Markos A. Katsoulakis Luc Rey-Bellet Benjamin J. Zhang OT 100 0 0 17 May 2025
LLM Embeddings Improve Test-time Adaptation to Tabular $Y\|X$ -Shifts Yibo Zeng Jiashuo Liu Henry Lam Hongseok Namkoong LMTD 100 2 0 09 Oct 2024
Stability Evaluation via Distributional Perturbation Analysis Jose H. Blanchet Peng Cui Jiajin Li Jiashuo Liu 90 1 0 06 May 2024
A Distributionally Robust Estimator that Dominates the Empirical Average Nikolas P. Koumpis Dionysis Kalogerias 55 0 0 16 Feb 2024
Adversarially Robust Learning with Optimal Transport Regularized Divergences Jeremiah Birrell Mohammadreza Ebrahimi AAML FedML 79 0 0 07 Sep 2023
Nash Equilibria, Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization Soroosh Shafieezadeh-Abadeh Liviu Aolaritei Florian Dorfler Daniel Kuhn 154 20 0 07 Mar 2023
Sinkhorn Distributionally Robust Optimization Jie Wang Rui Gao Yao Xie 153 40 0 24 Sep 2021