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Hongzhe Li

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Wasserstein F-tests for Fréchet regression on Bures-Wasserstein manifolds

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Apr 05, 2024
Haoshu Xu, Hongzhe Li

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Transfer Learning with Random Coefficient Ridge Regression

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Jun 28, 2023
Hongzhe Zhang, Hongzhe Li

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Transfer Learning for Contextual Multi-armed Bandits

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Nov 22, 2022
Changxiao Cai, T. Tony Cai, Hongzhe Li

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Semi-Supervised Statistical Inference for High-Dimensional Linear Regression with Blockwise Missing Data

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Jun 07, 2021
Fei Xue, Rong Ma, Hongzhe Li

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Estimation, Confidence Intervals, and Large-Scale Hypotheses Testing for High-Dimensional Mixed Linear Regression

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Nov 06, 2020
Linjun Zhang, Rong Ma, T. Tony Cai, Hongzhe Li

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Transfer Learning in Large-scale Gaussian Graphical Models with False Discovery Rate Control

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Oct 21, 2020
Sai Li, T. Tony Cai, Hongzhe Li

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Transfer Learning for High-dimensional Linear Regression: Prediction, Estimation, and Minimax Optimality

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Jun 18, 2020
Sai Li, T. Tony Cai, Hongzhe Li

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Optimal Structured Principal Subspace Estimation: Metric Entropy and Minimax Rates

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Feb 23, 2020
T. Tony Cai, Hongzhe Li, Rong Ma

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High Dimensional M-Estimation with Missing Outcomes: A Semi-Parametric Framework

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Nov 26, 2019
Abhishek Chakrabortty, Jiarui Lu, T. Tony Cai, Hongzhe Li

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Inference for Individual Mediation Effects and Interventional Effects in Sparse High-Dimensional Causal Graphical Models

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Sep 27, 2018
Abhishek Chakrabortty, Preetam Nandy, Hongzhe Li

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