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T. Tony Cai

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Transfer Learning for Nonparametric Regression: Non-asymptotic Minimax Analysis and Adaptive Procedure

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Jan 22, 2024
T. Tony Cai, Hongming Pu

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Optimal Differentially Private PCA and Estimation for Spiked Covariance Matrices

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Jan 08, 2024
T. Tony Cai, Dong Xia, Mengyue Zha

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Score Attack: A Lower Bound Technique for Optimal Differentially Private Learning

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Mar 13, 2023
T. Tony Cai, Yichen Wang, Linjun Zhang

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Testing High-dimensional Multinomials with Applications to Text Analysis

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

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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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Locally Adaptive Transfer Learning Algorithms for Large-Scale Multiple Testing

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

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

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Jan 17, 2022
T. Tony Cai, Rong Ma

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

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Jul 01, 2021
T. Tony Cai, Hongji Wei

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

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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

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

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