1. Variational Search Distributions
- Author
-
Steinberg, Daniel M., Oliveira, Rafael, Ong, Cheng Soon, and Bonilla, Edwin V.
- Subjects
Statistics - Machine Learning ,Computer Science - Machine Learning ,G.3 ,G.2.1 ,I.2.6 - Abstract
We develop variational search distributions (VSD), a method for finding discrete, combinatorial designs of a rare desired class in a batch sequential manner with a fixed experimental budget. We formalize the requirements and desiderata for this problem and formulate a solution via variational inference that fulfill these. In particular, VSD uses off-the-shelf gradient based optimization routines, and can take advantage of scalable predictive models. We show that VSD can outperform existing baseline methods on a set of real sequence-design problems in various biological systems., Comment: 16 pages, 5 figures, Appendix material included
- Published
- 2024