Andrej Risteski 

I am an Assistant Professor at the Machine Learning Department in Carnegie Mellon University. I received my PhD in the Computer Science Department at Princeton University under the advisement of Sanjeev Arora.

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