Prescriptive PCA: Dimensionality Reduction for Two-stage Stochastic Optimization-Reference-Cited by-同舟云学术

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Prescriptive PCA: Dimensionality Reduction for Two-stage Stochastic Optimization

Published:2023-08-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
language:
Short-container-title:

Author:

He Long¹^ORCID,Mak Ho-Yin²^ORCID

Affiliation:

1. George Washington University, Washington, DC, USA

2. Georgetown University, Washington, DC, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3580305.3599474

Reference28 articles.

1. Dynamic Procurement of New Products with Covariate Information: The Residual Tree Method

2. The Big Data Newsvendor: Practical Insights from Machine Learning

3. Aharon Ben-Tal , Alexander Goryashko , Elana Guslitzer , and Arkadi Nemirovski . 2004. Adjustable robust solutions of uncertain linear programs. Mathematical programming , Vol. 99 , 2 ( 2004 ), 351--376. Aharon Ben-Tal, Alexander Goryashko, Elana Guslitzer, and Arkadi Nemirovski. 2004. Adjustable robust solutions of uncertain linear programs. Mathematical programming, Vol. 99, 2 (2004), 351--376.

4. Solving large-scale sparse PCA to certifiable (near) optimality;Bertsimas Dimitris;Journal of Machine Learning Research,2022

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