2 papers
cs.CE2026
KSOS-BO: Improving Sampling in Bayesian Optimization via Kernel Sum of Squares
Buqing Ou, Frederike Dümbgen
Bayesian Optimization (BO) is an effective framework for globally optimizing functions whose evaluations are expensive. It is particularly effective for optimizing functions define…
cs.RO2026
Can Tabular Foundation Models Guide Exploration in Robot Policy Learning?
Buqing Ou, Frederike Dümbgen
Policy optimization in high-dimensional continuous control for robotics remains a challenging problem. Predominant methods are inherently local and often require extensive tuning a…