Journal Publications

Statistical ranking with dynamic covariates
with P. Dong, B. Jiang and Y. Xu
J. R. Stat. Soc. Ser. B Stat. Methodol. (2025)
LAMBDA: A Large Model Based Data Agent
with M. Sun, B. Jiang, H. Qi, D. Sun, Y. Yuan and J. Huang
J. Amer. Statist. Assoc. (2025)
A Unified Analysis of Likelihood-based Estimators in the Plackett--Luce Model
with Y. Xu
Ann. Stat. (to appear) (2025)
An approximate control variates approach to multifidelity distribution estimation
with B. Kramer, D. Lee, A. Narayan and Y. Xu
SIAM-ASA J. Uncertain. Quantif. (2024)
Online Inference with Debiased Stochastic Gradient Descent
with L. Luo, Y. Lin and J. Huang
Biometrika (2024)
Online Inference in High-Dimensional Generalized Linear Models with Streaming Data
with L. Luo, Y. Lin and J. Huang
Electron. J. Stat. (2023)
A General Pairwise Comparison Model for Extremely Sparse Networks
with Y. Xu and K. Chen
J. Amer. Statist. Assoc. (2022)
Probabilistic Methods for Approximate Archetypal Analysis
with Y. Xu, B. Osting and D. Wang
Inf. Inference (2022)
Post-selection Inference of High-dimensional Logistic Regression under Case-control Design
with Y. Lin, J. Xie and N. Tang
J. Bus. Econ. Stat. (2022)
Asymptotic Theory of Sparse Bradley-Terry Model
with R. Ye, C. Tan and K. Chen
Ann. Appl. Probab. (2020)
Curiosity-Driven Recommendation Strategy for Adaptive Learning via Deep Reinforcement Learning
with K. Chen and C. Tan
Br. J. Math. Stat. Psychol. (2020)
Bivariate Gamma Model
with K. Chen and C. Tan
J. Multivar. Anal. (2020)
Adaptive Learning Recommendation Strategy Based on Deep Q-learning
with C. Tan, R. Ye and K. Chen
Appl. Psychol. Meas. (2020)

Preprints

A Survey on Large Language Model-based Agents for Statistics and Data Science
with M. Sun, B. Jiang, H. Qi, D. Sun, Y. Yuan and J. Huang
Adaptive debiased Lasso in high-dimensional GLMs with streaming data
with L. Luo, Y. Luo, Y. Lin and J. Huang
Recursive Debiased Lasso for Streaming Data
with L. Luo, Y. Lin and J. Huang