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* = applied session ! = JSM meeting theme
Activity Details
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538 !
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Thu, 8/6/2020,
1:00 PM -
2:50 PM
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Virtual
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Emerging Topics in Private Data Analysis — Topic Contributed Papers
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IMS, Section on Statistical Learning and Data Science, Royal Statistical Society
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Organizer(s): Weijie Su, University of Pennsylvania
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Chair(s): Weijie Su, University of Pennsylvania
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1:05 PM
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Differentially Private Mean and Covariance Estimation
Gautam Kamath, University of Waterloo
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1:25 PM
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KNG: The K-Norm Gradient Mechanism
Jordan Awan, Penn State University; Matthew Reimherr, Penn State University
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1:45 PM
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Locally Private Learning, Estimation, Inference and Optimality
Feng Ruan, University of California at Berkeley
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2:05 PM
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Gaussian Differential Privacy, with Applications to Deep Learning
Jinshuo Dong, University of Pennsylvania; Aaron Roth, University of Pennsylvania; Weijie Su, University of Pennsylvania
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2:25 PM
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Discussant: Xiao-Li Meng, Harvard University
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2:45 PM
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Floor Discussion
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