Research Interests
Modern machine learning has outstripped attempts to theoretically explain its success from first principles. My research instead takes a modular approach to theory-building: how, and when, can the fundamental building blocks of machine learning be composed to solve more complex problems? My past work has applied this perspective to understand the problem of learning to make reliable sequences of decisions, and to develop algorithms that can prevent the errors in these building blocks from compounding.
Host: Jason Lee
Ph.D. Institution: MIT
