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. 1907.08334
  4. Cited By
When can we improve on sample average approximation for stochastic
  optimization?

When can we improve on sample average approximation for stochastic optimization?

19 July 2019
Eddie Anderson
Harrison Nguyen
ArXivPDFHTML

Papers citing "When can we improve on sample average approximation for stochastic optimization?"

2 / 2 papers shown
Title
Learning Against Distributional Uncertainty: On the Trade-off Between Robustness and Specificity
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
Distributional Robustness Bounds Generalization Errors
Shixiong Wang
Haowei Wang
OOD
42
4
0
20 Dec 2022
1