Fast Fitting of Gaussian Mixture Model via Dimension Reduction

Inference in Dense High-Dimensional Heteroscedastic Regression

A Newtonian Approach to Solving the L_0 Compressed Sensing Problem under the Sharpest RIP Condition

Sparse Gaussianized Canonical Correlation Analysis with Applications to Portfolio Analysis

Semi‑Supervised Learning on Graphs with GNNs

Transfer Learning on Edge Connecting Probability Estimation Under Graphon Model

Sparse Multitask Regression with a Task Graph

Nuisance Parameter Tuning for Inference in Observational Studies

Feedback-Enhanced Online Multiple Testing with Applications to Conformal Selection

Conformal Selective Prediction with General Risk Control

Generalized Boundary FDR Control under Arbitrary Dependence: An Approach on Closure Principle

Conformalized Large-Scale Selective Inference with Informative and Trustworthy Prediction Sets

基于混合数据学习半参数树模型

Minimax Optimal Robust Sparse Regression with Heavy-Tailed Designs: A Gradient-Based Approach

Poisson Subsampling-Based Estimation for Growing-Dimensional Expectile Regression Inmassive Data

网络下的高效实验设计与主动学习

Decentralized Robust Online Policy Evaluation

Doubly Robust Transfer Learning Under Sub-group Shift for Cohort-Level Missing Indicator Covariates