Paul Rolland

High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups

2018 · arXiv (Cornell University)

Bayesian optimization (BO) is a popular technique for sequential black-box function optimization, with applications including parameter tuning, robotics, environmental monitoring, and more. One of the most important challenges in BO is the development of algorithms …