Nonparametric Statistics Section Student Paper Award Presentations

Tue, Aug 5, 10:30 AM - 12:20 PM Room CC-207D Music City Center

Tatiyana ApanasovichOrganizerAnru ZhangChair

Section on Nonparametric Statistics co: No Additional Sponsorco: No Additional Sponsor

6 Presentations

A Unified Framework for Semiparametrically Efficient Semi-supervised Learning

10:35 AM - 10:50 AM

Zichun Xu (University of Washington, Department of Biostatistics)

Semi-supervised learning Influence function Nonparametric regression Prediction-powered inference Black-box machine learning model

Deep Fréchet Regression

10:50 AM - 11:05 AM

SU I IAO

curse of dimensionality deep learning Fréchet regression non-Euclidean data Wasserstein space

Doubly Robust Conditional Independence Testing with Generative Neural Networks

11:05 AM - 11:20 AM

Yi Zhang

Co-authors: Yi Zhang, Linjun Huang (UIUC), Yun Yang (University of Illinois Urbana-Champaign), Xiaofeng Shao (Washington University in St Louis, Dept of Statistics and Data Science)

Conditional Distribution Conditional Independence Test Double Robustness Generative Models Kernel Method Maximum Mean Discrepancy

Interpretable Scalar-on-Image Linear Regression Models via the Generalized Dantzig Selector

11:20 AM - 11:35 AM

Sijia Liao (University of Arizona)

sparse estimation smoothness regularization nonparametric regression non-asymptotic error bound

Stationarity of manifold time series

11:35 AM - 11:50 AM

Junhao Zhu (University of Toronto)

CUSUM bootstrap curvature

Structure-Preserving Nonlinear Sufficient Dimension Reduction for Tensor Regression

11:50 AM - 12:05 PM

Dianjun Lin (Pennsylvania State University)

Nonlinear Sufficient Dimension Reduction Dimension Folding Tensor Decomposition Reproducing Kernel Hilbert Space Tensor Envelope and Tensor Product Space Coordinate Mapping