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Activity Details

120 ! Mon, 8/9/2021, 1:30 PM - 3:20 PM Virtual
Challenges and Recent Advances in Private Data Analysis — Topic-Contributed Papers
Section on Nonparametric Statistics, IMS, CHANCE, Section on Statistical Learning and Data Science
Organizer(s): Linjun Zhang, Rutgers University
Chair(s): Linjun Zhang, Rutgers University
1:35 PM The Cost of Privacy in Generalized Linear Models: Algorithms and Minimax Lower Bounds
Yichen Wang, University of Pennsylvania; Tony Cai, University of Pennsylvania; Linjun Zhang, Rutgers University
1:55 PM Differentially Private Statistics for Collaborative Neuroinformatics
Anand Sarwate, Rutgers University
2:15 PM Interactive Versus Non-Interactive Locally Differentially Private Estimation: Two Elbows for the Quadratic Functional
Lukas Steinberger, University of Vienna
2:35 PM A Central Limit Theorem and Uncertainty Principle for Differentially Private Query Answering
Jinshuo Dong, Northwestern University
2:55 PM High-Dimensional, Differentially-Private EM Algorithm: Methods and Near Optimal Statistical Guarantees
Zhe Zhang, Rutgers University, New Brunswick; Linjun Zhang, Rutgers University
3:15 PM Floor Discussion