2024
Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data
ICLR 2024poster
Bayesian optimization (BO) has established itself as a leading strategy for efficiently optimizing expensive-to-evaluate functions. Existing BO methods mostly rely on Gaussian process (GP) surrogate models and are not applicable to (doubly-stochastic) Gaussian Cox processes, where the observation pr…