On Adaptive Kernel Learning for Nonparametric Regression and Classification

Optimal One-Pass Nonparametric Estimation Under Memory Constraint

Distributed Estimation and Inference for Spatial Autoregression Model with Large Scale Networks

Transductive Matrix Completion with Calibration for Multi-Task Learning

GOLFS: Feature Selection via Combining Both Global and Local Information for High Dimensional Clustering

Multi-view clustering based on principal component analysis and binary pairwise fused penalty

Non-marginal feature screening for varying coefficient competing risks model

A covariate-driven beta-binomial integer-valued GARCH-type models for bounded counts with an application

Robust estimation of large factor models for tensor-valued time series

Automatic Change-Point Detection in Time Series via Deep Learning