Sketching meets random projection in the dual: a provable recovery algorithm for big and high-dimensional data
Type
Publication
Electron. J. Stat
Jialei Wang
PhD (2013-2018)
Jialei received his PhD in Computer Science at University of Chicago in June 2019. His advisors were Nathan Srebro and 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.