Professor Yu-Xiang Wang & Co-Authors Receive a Paper Award from AISTATS 2019
By Sandra Dieron, PR Assistant, Computer Science
UCSB Computer Science Professor Yu-Xiang Wang and his co-authors, Borja Balle and Shiva Kasiviswanathan, were awarded a Paper Award from AISTATS 2019. Their paper, “Subsampled Renyi Differential Privacy and Analytical Moments Accountant,” studied the problem of subsampling in differential privacy.
Prior to joining UCSB, Professor Wang was a scientist with Amazon AI in Palo Alto. Even before that, he was with the Machine Learning Department in Carnegie Mellon University. Professor Wang’s current research interests are making differential privacy practical and developing a statistical foundation for off-policy reinforcement learning.
AISTATS is an interdisciplinary gathering of researchers at the intersection of computer science, artificial intelligence, machine learning, statistics, and related areas. Since its inception in 1985, the primary goal of AISTATS has been to broaden research in these fields by promoting the exchange of ideas among them.
Congratulations Professor Yu-Xiang Wang and co-authors on this fantastic award!