Multi-source Targeted Learning by High-dimensional Empirical Likelihood

Truncated fusion learning on supervised clustering and its fast stagewise algorithm

Feature Selection for P300 Detection Improvement

Pursuing homogeneity and sparsity in simultaneous quantile regression

On non-redundant and linear operator-based nonlinear dimension reduction

Identification of influential nodes in complex networks based on graph autoencoder

A Wasserstein distance-based spectral clustering method for transaction data analysis

Network Perturbation Aggregation in Graphon Estimation

HALO: Hardness-Aware Bilevel-Inspired Contrastive Graph Clustering

基于知识增强和图注意力网络的方面级情感分析

Efficient distributed estimation for expectile regression in increasing dimensions

Estimation and inference in quantile regression for high-dimensional partially linear models

Communication-Efficient and Distributed-Oracle Estimation for High-Dimensional Quantile Regression

Reduced-rank clustered coefficient regression for addressing multicollinearity in heterogeneous coefficient estimation

A tuning-free and scalable method for joint graphical model estimation with sharper bounds

Iterative Sure Screening Rules with Application to Accelerated Optimization of Regularized Regression

Distributed Reconstruction from Compressive Measurements: Nonconvexity and Heterogeneity

Causal Structure Learning of High-Dimensional Directed Acyclic Graphs with False Discovery Rate Control

Versatile Differentially Private Learning for General Loss Functions