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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
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Papers citing "Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective"

4 / 4 papers shown
Title
End-to-End Conformal Calibration for Optimization Under Uncertainty
End-to-End Conformal Calibration for Optimization Under Uncertainty
Christopher Yeh
Nicolas H. Christianson
Alan Wu
Adam Wierman
Yisong Yue
33
3
0
30 Sep 2024
Exploring End-to-end Differentiable Neural Charged Particle Tracking -- A Loss Landscape Perspective
Exploring End-to-end Differentiable Neural Charged Particle Tracking -- A Loss Landscape Perspective
T. Kortus
Ralf Keidel
N.R. Gauger
59
0
0
18 Jul 2024
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
61
85
0
17 Jun 2023
Heteroscedasticity-aware residuals-based contextual stochastic optimization
Heteroscedasticity-aware residuals-based contextual stochastic optimization
R. Kannan
G. Bayraksan
James R. Luedtke
40
11
0
08 Jan 2021