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T. Tony Cai

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Heteroskedastic PCA: Algorithm, Optimality, and Applications

Oct 19, 2018
Anru Zhang, T. Tony Cai, Yihong Wu

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Semi-supervised Inference: General Theory and Estimation of Means

Aug 14, 2018
Anru Zhang, Lawrence D. Brown, T. Tony Cai

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Weighted Message Passing and Minimum Energy Flow for Heterogeneous Stochastic Block Models with Side Information

Sep 12, 2017
T. Tony Cai, Tengyuan Liang, Alexander Rakhlin

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Matrix Completion via Max-Norm Constrained Optimization

Apr 28, 2017
T. Tony Cai, Wen-Xin Zhou

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On Detection and Structural Reconstruction of Small-World Random Networks

Apr 21, 2016
T. Tony Cai, Tengyuan Liang, Alexander Rakhlin

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Inference via Message Passing on Partially Labeled Stochastic Block Models

Mar 22, 2016
T. Tony Cai, Tengyuan Liang, Alexander Rakhlin

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A Sparse PCA Approach to Clustering

Feb 16, 2016
T. Tony Cai, Linjun Zhang

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Computational and Statistical Boundaries for Submatrix Localization in a Large Noisy Matrix

Oct 21, 2015
T. Tony Cai, Tengyuan Liang, Alexander Rakhlin

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Geometric Inference for General High-Dimensional Linear Inverse Problems

Jun 16, 2015
T. Tony Cai, Tengyuan Liang, Alexander Rakhlin

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Optimal Rates of Convergence for Noisy Sparse Phase Retrieval via Thresholded Wirtinger Flow

Jun 10, 2015
T. Tony Cai, Xiaodong Li, Zongming Ma

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