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