Combinatorial Bayesian Optimization using the Graph Cartesian Product Changyong Oh Max Welling University of Amsterdam

Neural Information Processing Systems 

This paper focuses on Bayesian Optimization (BO) for objectives on combinatorial search spaces, including ordinal and categorical variables. Despite the abundance of potential applications of Combinatorial BO, including chipset configuration search and neural architecture search, only a handful of methods have been proposed. We introduce COMBO, a new Gaussian Process (GP) BO.