arXiv Machine Learning June 29, 2026 By Zhangyong Liang, Jie Hou, Huanhuan Gao, Manyu Xiao

Categorical Optimization with Bayesian Anchored Latent Trust Regions for Structural Design under High-Dimensional Uncertainty

Read the original on arXiv Machine Learning →

arXiv:2604. 25241v2 Announce Type: replace Abstract: Categorical structural optimization under aleatoric uncertainty is challenging because each design variable must be selected from a finite catalog of admissible instances, while each candidate design may require expensive stochastic finite-element evaluations.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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