Andrej Risteski 

I hold a joint position as the Norbert Wiener fellow at the Institute for Data Science and Statistics (IDSS) and an instructor of Applied Mathematics at MIT.

Before coming to MIT, I was a PhD student in the Computer Science Department at Princeton University, working under the advisement of Sanjeev Arora. Previously I received my B.S.E. degree at Princeton University as well.

My work lies in the intersection of machine learning and theoretical computer science. The broad goal of my research is theoretically understanding statistical and algorithmic phenomena and problems arising in modern machine learning.

Papers


(In alphabetical order, following the tradition in theoretical computer science)




Understanding representations in supervised and unsupervised learning

Provable algorithms for learning and inference in Bayesian models

Computational issues around online and improper learning

Talks

Blog posts about my work


Teaching

Contact