Mladen Kolar
Professor in Data Sciences and Operations
USC Marshall School of Business
Mladen Kolar is a professor in the Department of Data Sciences and Operations at the USC Marshall School
of Business. His research is focused on high-dimensional statistical methods, graphical models,
varying-coefficient models and data mining, driven by the need to uncover interesting and
scientifically meaningful structures from observational data.
» Personal website
Interests
- Statistical machine learning
- Probabilistic graphical models
- Dynamic networks estimation
- High-dimensional estimation and inference
- Stochastic optimization with constraints
- Distributed optimization and federated learning
Education
PhD in Machine Learning, 2013
Carnegie Mellon University
Diploma in Computer Engineering, 2006
University of Zagreb, Faculty of Electrical Engineering and Computing