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Data-Driven Sample Average Approximation with Covariate Information

Data-Driven Sample Average Approximation with Covariate Information

27 July 2022
R. Kannan
G. Bayraksan
James R. Luedtke
ArXivPDFHTML

Papers citing "Data-Driven Sample Average Approximation with Covariate Information"

5 / 5 papers shown
Title
Data-driven Piecewise Affine Decision Rules for Stochastic Programming
  with Covariate Information
Data-driven Piecewise Affine Decision Rules for Stochastic Programming with Covariate Information
Yiyang Zhang
Junyi Liu
Xiaobo Zhao
11
2
0
26 Apr 2023
Integrated Conditional Estimation-Optimization
Integrated Conditional Estimation-Optimization
Sirui Chen
Paul Grigas
Zuo‐Jun Max Shen
CML
19
25
0
24 Oct 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
Heteroscedasticity-aware residuals-based contextual stochastic
  optimization
Heteroscedasticity-aware residuals-based contextual stochastic optimization
R. Kannan
G. Bayraksan
James R. Luedtke
35
11
0
08 Jan 2021
High-dimensional generalized linear models and the lasso
High-dimensional generalized linear models and the lasso
Sara van de Geer
189
750
0
04 Apr 2008
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