Kai-Jie Lin

BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL

Bayesian optimization (BO) offers an efficient pipeline for optimizing black-box functions with the help of a Gaussian process prior and an acquisition function (AF). Recently, in the context of single-objective BO, learning-based AFs witnessed promising empirical results given its favorable non-myo…