Natalie Maus

Local Latent Space Bayesian Optimization over Structured Inputs

2022 · arXiv (Cornell University)

Bayesian optimization over the latent spaces of deep autoencoder models (DAEs) has recently emerged as a promising new approach for optimizing challenging black-box functions over structured, discrete, hard-to-enumerate search spaces (e.g., molecules). Here the DAE …