Differentially Private Sliced Inverse Regression in the Federated Paradigm

A High-Dimensional Distribution-Free Two-Sample Test via Projection Wasserstein Distances and Deep Neural Networks

A General Framework of Brain Region Detection and Genetic Variants Selection in Imaging Genetics

Orthogonal Covariate Balancing for Causal Inference

Distribution-Free Robust Independence Test for High-Dimensional Data via Semi-Grothendieck's Divergence

Test of Multivariate Independence via Comparing Two Bivariate Means

Testing Independence and Conditional Independence in High Dimensions via Coordinatewise Gaussianization

Adaptive Semi-Supervised Inference for Estimating Equations: A Nonparametric Projection Approach using ReQU Neural Networks

Deep Transformation Model

Dynamic Logistic Normal Multinomial Model for Microbiome Data

High-Resolution Inversion of Ocean Surface Current Fields via Diffusion Priors and Multimodal Constraints

Multi-Scale Dynamic Graph Neural Network for Electricity Load Forecasting

Hierarchically Sparse Neural Networks via Auxiliary Responses

Transfer Learning for Degree-Corrected Mixed Membership Network Models

An Adaptive Test for High-Dimensional Mean Change-Points

Closed-Loop Adaptive Monitoring and Fault Isolation for Partially Observed High-Dimensional Data Streams

SIRI: Tensor Rank Selection via Stability Index with Random Initializations