2026
GIT-BO: High-Dimensional Bayesian Optimization with Tabular Foundation Models
ICLR 2026poster
Bayesian optimization (BO) struggles in high dimensions, where Gaussian-process surrogates demand heavy retraining and brittle assumptions, slowing progress on real engineering and design problems. We introduce GIT-BO, a Gradient-Informed BO framework that couples TabPFN v2, a tabular foundation mod…