Code and Data Repository for Decision-Driven Regularization: A Blended Model for Learning and Optimization

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Authors: Gar Goei Loke, Qinshen Tang, Yangge Xiao, Xun Zhang
Cited by: 1

Abstract

The code and data in this repository are used in the research reported in the paper Decision-Driven Regularization: A Blended Model for Learning and Optimization by Gar Goei Loke, Qinshen Tang, Yangge Xiao, and Xun Zhang.

Fields of Study & Subjects

Advanced Multi-Objective Optimization Algorithms Gaussian Processes and Bayesian Inference Machine Learning and Data Classification

Publication details

Journal / source
INFORMS journal on computing
Publisher
Institute for Operations Research and the Management Sciences (INFORMS)
Publication date
27 July 2026