2 papers
cs.LG2026
Bayesian Optimization with Structured Measurements: A Vector-Valued RKHS Framework
Wenbin Wang, Colin N. Jones
Bayesian optimization (BO) is an efficient framework for optimizing expensive black-box functions. However, it is typically formulated as learning an end-to-end mapping from inputs…
cs.LG2026
PolyFormer: learning efficient reformulations for scalable optimization under complex physical constraints
Yilin Wen, Yi Guo, Bo Zhao +4
Real-world optimization problems are often constrained by complex physical laws that limit computational scalability. These constraints are inherently tied to complex regions, and…