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373 * ! Wed, 8/10/2022, 8:30 AM - 10:20 AM CC-159AB
Recent Advances in Complex and High-Dimensional Data — Topic Contributed Papers
IMS, Section on Nonparametric Statistics, Section on Statistical Learning and Data Science
Organizer(s): Shuheng Zhou, University of California, Riverside
Chair(s): Min Xu, Rutgers University
8:35 AM Differentially Private Inference via Noisy Optimization
Po-Ling Loh, University of Cambridge; Marco Avella Medina, Columbia University; Casey Bradshaw, Columbia University
8:55 AM High-Dimensional Changepoint Estimation with Heterogeneous Missingness
Tengyao Wang, London School of Economics
9:15 AM Guaranteed Functional Tensor Singular Value Decomposition
Anru Zhang, Duke University; Rungang Han, Duke University; Pixu Shi, Duke University
9:35 AM Leave-One-Out Singular Subspace Perturbation Analysis for Spectral Clustering
Harrison Zhou, Yale University
9:55 AM Concentration of Measure Bounds for Matrix-Variate Data with Missing Values
Shuheng Zhou, University of California, Riverside
10:15 AM Floor Discussion