Direct Estimation of Differential Functional Graphical Models

Publication
Advances in Neural Information Processing Systems 32
Boxin Zhao
Boxin Zhao
PhD student

Boxin Zhao is a PhD student in Econometrics and Statistics at University of Chicago, Booth School of Business. His research interests include probabilistic graphical models, functional data analysis and distributed learning, with a focus on developing novel methodologies with both practical applications and theoretical guarantees.

Y. Samuel Wang
Y. Samuel Wang
Post-doc (2018-2021)

Sam Wang is currently an assistant professor at Cornell University. He was a post-doc at the University of Chicago Booth School of Business advised by Mladen Kolar. His theoretical and methodological research interests are focused on causal discovery, graphical models, and high-dimensional statistical methods; his applied research interests lie in the social sciences. He completed his PhD in 2018 at the University of Washington advised by Mathias Drton and received his undergraduate degree from Rice University. Prior to embarking on his PhD studies, he worked in management consulting.

Mladen Kolar
Mladen Kolar
Associate Professor of Econometrics and Statistics

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.