Generalized Scaling for the Constrained Maximum-Entropy Sampling Problem
Published in Mathematical Programming, 2024
This paper introduces a generalized scaling framework for the constrained maximum-entropy sampling problem, achieving 10× faster solutions compared to prior methods.
Also presented at: SIAM Conference on Applied and Computational Discrete Algorithms (ACDA23), pp. 110-118.
Recommended citation: Zhongzhu Chen, Marcia Fampa, and Jon Lee. (2024). "Generalized Scaling for the Constrained Maximum-Entropy Sampling Problem." Mathematical Programming.
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