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Transfer Learning for Contextual Multi-armed Bandits


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


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

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* 39 pages, 2 figures 

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


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


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


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

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Optimal Structured Principal Subspace Estimation: Metric Entropy and Minimax Rates


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


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

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* 34 pages, 4 tables; (Supplement: 58 pages, 10 tables); 

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


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

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* 35 pages (supplementary material - 26 pages), 5 tables, 4 figures 

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