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Mladen Kolar

  • Professor of Data Sciences and Operations

Mladen Kolar is a professor in the Department of Data Sciences and Operations at the USC Marshall School of Business. Mladen earned his PhD in Machine Learning from Carnegie Mellon University in 2013. His research focuses on high-dimensional statistical methods, probabilistic graphical models, and scalable optimization methods, driven by the need to uncover interesting and scientifically meaningful structures from observational data. Mladen was selected as a recipient of the 2024 Junior Leo Breiman Award for his outstanding contributions to these areas. He currently serves as an associate editor for the Journal of Machine Learning Research, the Annals of Statistics, the Journal of Computational and Graphical Statistics, and the New England Journal of Statistics in Data Science.

Mladen Kolar
Press Inquiries: COMMUNICATIONS@MARSHALL.USC.EDU

Departments

Data Sciences + Operations

NEWS + EVENTS

COURSES

Spring 2025
  • DSO-530
    Applied Modern Statistical Learning Methods
    Overview of highly computational modern statistical learning methods; applications of logistic regression, neural networks, LASSO, trees, boosting and GAM, etc., to finance and marketing data.
Spring 2024
  • BUAD-425
    Introduction to Business Analytics
    Leveraging large corporate datasets; slice and dice data; dash boards; data mining and statistical tools; neural network; multiple and logistic regression; decision tree; gain inference and decision making; clustering.