6min chapter

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) cover image

Constraint Active Search for Human-in-the-Loop Optimization with Gustavo Malkomes - #505

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

CHAPTER

The Problem of Material Experimental Design

In many problems in real life, it's very, very hard to find one thing that we care about. That's what typically makes the oppremisation problem a little bit harder. We are solving an oupnization problem, which is black box. It's really like a black box that we put in puts and we receive outputs back. The hypothesis here is that we cannot compare the two metrics. For example, risk and return, if we are talking about finance. And there's no really like solution for this. Its really depende on the user to decide the level of risk and the level of return he is willing to so i ten sense, all the configurations that we can

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