2 papers
cs.LG2026
How Many Initial Points Does Bayesian Optimization Need?
Mujin Cheon, James Odgers, Dong-Yeun Koh +1
Bayesian Optimization (BO) generally begins with an initialization phase: a batch of uninformed evaluations. The choice of remains largely heuristic, and we empirically…
cs.LG2024
EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization
Mujin Cheon, Jay H. Lee, Dong-Yeun Koh +1
To avoid myopic behavior, multi-step lookahead Bayesian optimization (BO) algorithms consider the sequential nature of BO and have demonstrated promising results in recent years. H…