Raman Arora

Raman Arora’s research centers around representation learning, a fundamental challenge in machine learning where the goal is to learn a representation (often using unlabeled data, which is cheap and abundant) that reveals intrinsic low-dimensional structure in data, disentangles underlying factors of variation, and is useful across multiple tasks and domains.