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 research interests lie in machine learning and statistics, spanning topics like representation learning, generative models, word embeddings, variational inference and MCMC and non-convex optimization. The broad goal of my research is principled and mathematical understanding of statistical and algorithmic phenomena and problems arising in modern machine learning.

The easiest way to reach me is email. My address is aristesk at

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

Understanding representations in supervised and unsupervised learning

Provable algorithms for learning and inference in probabilistic and generative models

Computational issues around online and improper learning