Conditional Generative Representation for Black-Box Optimization with Implicit Constraints

no code implementations • 27 Oct 2023 • Wenqian Xing, Jungho Lee, Chong Liu, Shixiang Zhu

This approach leverages a conditional variational autoencoder to learn the distribution of feasible decisions, enabling a two-way mapping between the original decision space and a simplified, constraint-free latent space.

Bayesian Optimization Decision Making