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Our upcoming event for the Statistics Department Colloquium Series is scheduled for this Monday, April 3rd from 12:00 – 1:00pm (ET) and will be an in-person presentation Science Center Rm. 316. The speaker will be Tony Cai, who is a Daniel H. Silberberg Professor of Statistics and Data Science at the Wharton School University of Pennsylvania.
Title: Optimal Statistical Estimation under Nonstatistical Constraints
Abstract: In the conventional statistical framework, a major goal is to develop optimal statistical procedures based on the sample size and statistical model. However, in many contemporary applications, non-statistical concerns such as privacy and communication constraints associated with the statistical procedures become crucial. This raises a fundamental question in data science: how can we make optimal statistical inference under these non-statistical constraints? In this talk, we explore recent advances in differentially private learning and distributed learning under communication constraints in a few specific settings. Our results demonstrate novel and interesting phenomena and suggest directions for further investigation.