Robust Inference for High-dimensional Linear Models via Residual Randomization

Publication
Proceedings of the 38th International Conference on Machine Learning
Y. Samuel Wang
Y. Samuel Wang
Post-doc

Sam Wang is currently 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.

Si Kai Lee
Si Kai Lee
Research Professional
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.