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.

I work in the intersection of machine learning and theoretical computer science, with the primary goal of designing provable and practical algorithms for problems arising in machine learning.


(In alphabetical order, following the tradition in theoretical computer science, except those denoted by *)

Word embeddings, neural networks, representation learning

Analyzing heuristics for non-convex optimization and non-log-concave sampling

Provable algorithms for learning and inference in graphical models

Online learning and related topics

Other topics