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174 Tue, 8/4/2020, 10:00 AM - 2:00 PM Virtual
Statistical Optimality in High-Dimensional Models and Tradeoffs with Computational Complexity, Privacy and Communication Constraints — Contributed Papers
Chair(s): Adityanand Guntuboyina, University of California, Berkeley
The Cost of Privacy: Optimal Rates of Convergence for Parameter Estimation with Differential Privacy
Yichen Wang, The Wharton School, University of Pennsylvania; Tony Cai, University of Pennsylvania; Linjun Zhang, Rutgers University
A Precise High-Dimensional Asymptotic Theory for Boosting
Pragya Sur, Harvard University; Tengyuan Liang, University of Chicago
Optimal and Adaptive Estimation of Extreme Values in the Permuted Monotone Matrix Model
Rong Ma, University of Pennsylvania; Tony Cai, University of Pennsylvania; Hongzhe Li, University of Pennsylvania
The Overlap Gap Property in Planted Submatrix Recovery
Subhabrata Sen, Harvard University; David Gamarnik, Massachusetts Institute of Technology; Aukosh Jagannath, University of Waterloo
Distributed Gaussian Mean Estimation Under Communication Constraints: Optimal Rates and Communication-Efficient Algorithms
Hongji Wei, Wharton Department of Statistics; Tony Cai, University of Pennsylvania
Fundamental Barriers to Tractable Estimation in High-Dimensions
Michael Celentano, Stanford University; Andrea Montanari, Stanford University; Yuchen Wu, Stanford University