Search Results for author:
Found 2 papers, 2 papers with code
Vanilla Bayesian Optimization Performs Great in High Dimensions
High-dimensional problems have long been considered the Achilles' heel of Bayesian optimization algorithms.
High-dimensional Bayesian Optimization with Group Testing
We propose a group testing approach to identify active variables to facilitate efficient optimization in these domains.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
