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Testing High-dimensional Multinomials with Applications to Text Analysis


Jan 03, 2023
T. Tony Cai, Zheng Tracy Ke, Paxton Turner

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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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Locally Adaptive Transfer Learning Algorithms for Large-Scale Multiple Testing


Mar 25, 2022
Ziyi Liang, T. Tony Cai, Wenguang Sun, Yin Xia

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* 26 pages, 6 figures 

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Matrix Reordering for Noisy Disordered Matrices: Optimality and Computationally Efficient Algorithms


Jan 17, 2022
T. Tony Cai, Rong Ma

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Distributed Nonparametric Function Estimation: Optimal Rate of Convergence and Cost of Adaptation


Jul 01, 2021
T. Tony Cai, Hongji Wei

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Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data


May 18, 2021
T. Tony Cai, Rong Ma

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The Cost of Privacy in Generalized Linear Models: Algorithms and Minimax Lower Bounds


Nov 08, 2020
T. Tony Cai, Yichen Wang, Linjun Zhang

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* 43 pages, 6 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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