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. 1906.00255
  4. Cited By
Data-Pooling in Stochastic Optimization
v1v2v3 (latest)

Data-Pooling in Stochastic Optimization

1 June 2019
Vishal Gupta
Nathan Kallus
ArXiv (abs)PDFHTML

Papers citing "Data-Pooling in Stochastic Optimization"

3 / 3 papers shown
Title
Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective
Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective
Adam N. Elmachtoub
Henry Lam
Haofeng Zhang
Yunfan Zhao
154
6
0
13 Apr 2023
Efficient Empirical Bayes prediction under check loss using Asymptotic
  Risk Estimates
Efficient Empirical Bayes prediction under check loss using Asymptotic Risk Estimates
Gourab Mukherjee
L. Brown
Paat Rusmevichientong
36
7
0
30 Oct 2015
Data-driven Distributionally Robust Optimization Using the Wasserstein
  Metric: Performance Guarantees and Tractable Reformulations
Data-driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations
Peyman Mohajerin Esfahani
Daniel Kuhn
102
1,669
0
19 May 2015
1