Books/Surveys: Introduction to Online Convex Optimization, Optimization for Machine Learning, Introduction to Online Nonstochastic Control; ICML 2020 Tutorial: The non-stochastic control problem; Google Scholar page for all publications.
Research Experience
Professor of Computer Science at Princeton University; Director and co-founder of Google AI Princeton.
Background
Studies the automation of the learning mechanism and its efficient algorithmic implementation. This study centers in the field of machine learning and touches upon mathematical optimization, game theory, statistics, and computational complexity.
Miscellany
Teaching: Theoretical Machine Learning (COS511), AI Alignment & Safety (COS 597Q), Computational Control Theory, Introduction to Machine Learning (COS 324).