Constraint-Aware Discrete Black-Box Optimization Using Tensor Decomposition
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arXiv:2609.09370v1 Announce Type: new Abstract: Discrete black-box optimization is often addressed using approaches such as Sequential Model-Based Optimization (SMBO), which aims to improve sample efficiency by fitting surrogate models that approximate a costly objective function over a discrete se…
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- 2026-09-10 04:00 · arXiv cs.LG
Constraint-Aware Discrete Black-Box Optimization Using Tensor Decomposition