Data-driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations

19 May 2015

Papers citing "Data-driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations"

18 / 18 papers shown

Title
Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Hui Ma Kai Yang Yang Jiao OOD 107 0 0 25 May 2025
Wasserstein Distributionally Robust Regret Optimization Lukas-Benedikt Fiechtner Jose Blanchet 42 0 0 15 Apr 2025
Neural Configuration-Space Barriers for Manipulation Planning and Control Kehan Long Ki Myung Brian Lee Nikola Raicevic Niyas Attasseri Melvin Leok Nikolay Atanasov 104 0 0 06 Mar 2025
Achievable distributional robustness when the robust risk is only partially identified Julia Kostin Nicola Gnecco Fanny Yang 110 3 0 04 Feb 2025
Universal generalization guarantees for Wasserstein distributionally robust models Tam Le Jérome Malick OOD 86 2 0 28 Jan 2025
Beyond IID: data-driven decision-making in heterogeneous environments Omar Besbes Will Ma Omar Mouchtaki 70 8 0 03 Jan 2025
Distributionally Robust Optimization Daniel Kuhn Soroosh Shafiee W. Wiesemann 64 0 0 04 Nov 2024
Sensor-Based Distributionally Robust Control for Safe Robot Navigation in Dynamic Environments Kehan Long Yinzhuang Yi Zhirui Dai Sylvia Herbert Jorge Cortés Nikolay Atanasov 206 4 0 28 May 2024
An Inexact Halpern Iteration with Application to Distributionally Robust Optimization Ling Liang Zusen Xu Kim-Chuan Toh Jia Jie Zhu 86 4 0 08 Feb 2024
Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective Adam N. Elmachtoub Henry Lam Haofeng Zhang Yunfan Zhao 94 6 0 13 Apr 2023
Nash Equilibria, Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization Soroosh Shafieezadeh-Abadeh Liviu Aolaritei Florian Dorfler Daniel Kuhn 96 21 0 07 Mar 2023
Learning Against Distributional Uncertainty: On the Trade-off Between Robustness and Specificity Shixiong Wang Haowei Wang Xinke Li Jean Honorio OOD 81 1 0 31 Jan 2023
Sinkhorn Distributionally Robust Optimization Jie Wang Rui Gao Yao Xie 65 37 0 24 Sep 2021
Adaptive Sampling for Stochastic Risk-Averse Learning Sebastian Curi Kfir Y. Levy Stefanie Jegelka Andreas Krause 64 53 0 28 Oct 2019
On Wasserstein Two Sample Testing and Related Families of Nonparametric Tests Aaditya Ramdas Nicolas García Trillos Marco Cuturi 44 486 0 08 Sep 2015
On the rate of convergence in Wasserstein distance of the empirical measure N. Fournier Arnaud Guillin 117 1,141 0 07 Dec 2013
Simple bounds for the convergence of empirical and occupation measures in 1-Wasserstein distance Emmanuel Boissard 84 75 0 16 Mar 2011
Challenging the empirical mean and empirical variance: a deviation study O. Catoni 107 462 0 10 Sep 2010