2.6k citations · 2.7k across the 6 of their papers we have counts for
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cs.LG2019
A view of Estimation of Distribution Algorithms through the lens of Expectation-Maximization
David H. Brookes, Akosua Busia, Clara Fannjiang +2
We show that a large class of Estimation of Distribution Algorithms, including, but not limited to, Covariance Matrix Adaption, can be written as a Monte Carlo Expectation-Maximiza…
cs.LG2019★ 45 cited
Conditioning by adaptive sampling for robust design
David H. Brookes, Hahnbeom Park, Jennifer Listgarten
We present a new method for design problems wherein the goal is to maximize or specify the value of one or more properties of interest. For example, in protein design, one may wish…