Constrained Bayesian Optimization Under Partial Observations: Balanced Improvements and Provable Convergence

Shengbo Wang, Ke Li

The partially observable constrained optimization problems (POCOPs) impede data-driven optimization techniques since an infeasible solution of POCOPs can provide little information…