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Matt Adereth talks about the Black-box optimization techniques, what’s actually going on inside of these black-boxes and discusses an idea of how they can be used to solve problems today. He deep dives into a few of the most popular ones, such as Distributed Nelder-Mead and Bayesian Optimization, and discusses their trade-offs. Filmed at qconnewyork.com.
Matt Adereth is a Managing Director at Two Sigma Investments, where he works on tools, infrastructure and methodologies for quantitative financial research. He previously worked at Microsoft on Office, focusing on data connectivity and visualization features. In his spare time, he designs open-source ergonomic keyboards using Clojure.