Sanjeev Arora

Sanjeev Arora is interested in achieving better theoretical understanding of methods in machine learning that are empirically successful, especially NP-complete problems that seem solvable in practice. Current topics of interest include unsupervised learning, generative models, deep learning, natural language processing, and reinforcement learning. He is directing the year’s special program in Optimization, Statistics, and Machine Learning.