3 papers
cs.LG2026
Taking the GP Out of the Loop
Mehul Bafna, Siddhant anand Jadhav, David Sweet
Bayesian optimization (BO) has traditionally solved black-box problems where function evaluation is expensive and, therefore, observations are few. Recently, however, there has bee…
stat.ML2024
Fast, Precise Thompson Sampling for Bayesian Optimization
David Sweet
Thompson sampling (TS) has optimal regret and excellent empirical performance in multi-armed bandit problems. Yet, in Bayesian optimization, TS underperforms popular acquisition fu…
cs.LG2024
Optimal Initialization of Batch Bayesian Optimization
Jiuge Ren, David Sweet
Field experiments and computer simulations are effective but time-consuming methods of measuring the quality of engineered systems at different settings. To reduce the total time r…