ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2006.03333
  4. Cited By
Principled learning method for Wasserstein distributionally robust
  optimization with local perturbations

Principled learning method for Wasserstein distributionally robust optimization with local perturbations

5 June 2020
Yongchan Kwon
Wonyoung Hedge Kim
Joong-Ho Won
M. Paik
ArXivPDFHTML

Papers citing "Principled learning method for Wasserstein distributionally robust optimization with local perturbations"

4 / 4 papers shown
Title
Wasserstein Distributionally Robust Nonparametric Regression
Wasserstein Distributionally Robust Nonparametric Regression
Changyu Liu
Yuling Jiao
Junhui Wang
Jian Huang
OOD
34
0
0
12 May 2025
Universal generalization guarantees for Wasserstein distributionally robust models
Universal generalization guarantees for Wasserstein distributionally robust models
Tam Le
Jérome Malick
OOD
56
2
0
28 Jan 2025
New Perspectives on Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization
New Perspectives on Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization
Soroosh Shafieezadeh-Abadeh
Liviu Aolaritei
Florian Dorfler
Daniel Kuhn
66
20
0
31 Dec 2024
Beckman Defense
Beckman Defense
A. V. Subramanyam
OOD
AAML
42
0
0
04 Jan 2023
1