Mladen Kolar

Mladen Kolar

Associate Professor of Econometrics and Statistics

University of Chicago Booth School of Business

Mladen Kolar is an Associate Professor of Econometrics and Statistics at the University of Chicago Booth 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.

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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

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