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Integrated Conditional Estimation-Optimization

Integrated Conditional Estimation-Optimization

24 October 2021
Sirui Chen
Paul Grigas
Zuo‐Jun Max Shen
    CML
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Papers citing "Integrated Conditional Estimation-Optimization"

11 / 11 papers shown
Title
Sufficient Decision Proxies for Decision-Focused Learning
Sufficient Decision Proxies for Decision-Focused Learning
Noah Schutte
Grigorii Veviurko
Krzysztof Postek
Neil Yorke-Smith
29
0
0
06 May 2025
Contextual Scenario Generation for Two-Stage Stochastic Programming
David Islip
Roy H. Kwon
Sanghyeon Bae
Woo Chang Kim
59
0
0
07 Feb 2025
Forecasting Outside the Box: Application-Driven Optimal Pointwise
  Forecasts for Stochastic Optimization
Forecasting Outside the Box: Application-Driven Optimal Pointwise Forecasts for Stochastic Optimization
Tito Homem-de-Mello
Juan Valencia
Felipe Lagos
Guido Lagos
29
1
0
05 Nov 2024
Generalization Bounds of Surrogate Policies for Combinatorial
  Optimization Problems
Generalization Bounds of Surrogate Policies for Combinatorial Optimization Problems
Pierre-Cyril Aubin-Frankowski
Yohann de Castro
Axel Parmentier
Alessandro Rudi
OffRL
31
3
0
24 Jul 2024
Contextual Stochastic Bilevel Optimization
Contextual Stochastic Bilevel Optimization
Yifan Hu
Jie Wang
Yao Xie
Andreas Krause
Daniel Kuhn
32
11
0
27 Oct 2023
A Survey of Contextual Optimization Methods for Decision Making under
  Uncertainty
A Survey of Contextual Optimization Methods for Decision Making under Uncertainty
Utsav Sadana
A. Chenreddy
Erick Delage
Alexandre Forel
Emma Frejinger
Thibaut Vidal
AI4CE
43
83
0
17 Jun 2023
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
H. Lam
Haofeng Zhang
Yunfan Zhao
18
6
0
13 Apr 2023
Data-Driven Sample Average Approximation with Covariate Information
Data-Driven Sample Average Approximation with Covariate Information
R. Kannan
G. Bayraksan
James R. Luedtke
11
43
0
27 Jul 2022
Gradient boosting for convex cone predict and optimize problems
Gradient boosting for convex cone predict and optimize problems
A. Butler
R. Kwon
23
2
0
14 Apr 2022
Efficient differentiable quadratic programming layers: an ADMM approach
Efficient differentiable quadratic programming layers: an ADMM approach
A. Butler
R. Kwon
23
18
0
14 Dec 2021
Application-Driven Learning: A Closed-Loop Prediction and Optimization
  Approach Applied to Dynamic Reserves and Demand Forecasting
Application-Driven Learning: A Closed-Loop Prediction and Optimization Approach Applied to Dynamic Reserves and Demand Forecasting
J. Garcia
A. Street
Tito Homem-de-Mello
F. Muñoz
22
10
0
26 Feb 2021
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