T. Tony Cai - RankMe

59 papers Journal 57Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Minimax and Adaptive Covariance Matrix Estimation under Differential Privacy. CoRR T. Tony Cai, Yicheng Li
2025	J	`jnl`	Integrated analysis for electronic health records with structured and sporadic missingness. J. Biomed. Informatics Jianbin Tan, Yan Zhang, Chuan Hong, T. Tony Cai, Tianxi Cai, Anru R. Zhang
2025	J	`jnl`	Optimal Detection for Language Watermarks with Pseudorandom Collision. CoRR T. Tony Cai, Xiang Li, Qi Long, Weijie J. Su, Garrett Wen
2025	J	`jnl`	SIHR: Statistical Inference in High-Dimensional Linear and Logistic Regression Models. R J. Prabrisha Rakshit, Zhenyu Wang, T. Tony Cai, Zijian Guo
2024	J	`jnl`	Distributed Gaussian Mean Estimation under Communication Constraints: Optimal Rates and Communication-Efficient Algorithms. J. Mach. Learn. Res. T. Tony Cai, Hongji Wei
2024	J	`jnl`	Federated Nonparametric Hypothesis Testing with Differential Privacy Constraints: Optimal Rates and Adaptive Tests. CoRR T. Tony Cai, Abhinav Chakraborty, Lasse Vuursteen
2024	J	`jnl`	Federated PCA and Estimation for Spiked Covariance Matrices: Optimal Rates and Efficient Algorithm. CoRR Jingyang Li, T. Tony Cai, Dong Xia, Anru R. Zhang
2024	J	`jnl`	Matrix Reordering for Noisy Disordered Matrices: Optimality and Computationally Efficient Algorithms. IEEE Trans. Inf. Theory T. Tony Cai, Rong Ma
2024	J	`jnl`	Optimal Differentially Private PCA and Estimation for Spiked Covariance Matrices. CoRR T. Tony Cai, Dong Xia, Mengyue Zha
2024	J	`jnl`	Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints. CoRR T. Tony Cai, Abhinav Chakraborty, Lasse Vuursteen
2024	J	`jnl`	Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints. CoRR T. Tony Cai, Abhinav Chakraborty, Lasse Vuursteen
2024	J	`jnl`	Transfer Learning for Nonparametric Regression: Non-asymptotic Minimax Analysis and Adaptive Procedure. CoRR T. Tony Cai, Hongming Pu
2023	J	`jnl`	Score Attack: A Lower Bound Technique for Optimal Differentially Private Learning. CoRR T. Tony Cai, Yichen Wang, Linjun Zhang
2022	J	`jnl`	Sparse Group Lasso: Optimal Sample Complexity, Convergence Rate, and Statistical Inference. IEEE Trans. Inf. Theory T. Tony Cai, Anru R. Zhang, Yuchen Zhou
2022	J	`jnl`	Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data. J. Mach. Learn. Res. T. Tony Cai, Rong Ma
2022	J	`jnl`	Transfer Learning for Contextual Multi-armed Bandits. CoRR Changxiao Cai, T. Tony Cai, Hongzhe Li
2021	J	`jnl`	Distributed Nonparametric Function Estimation: Optimal Rate of Convergence and Cost of Adaptation. CoRR T. Tony Cai, Hongji Wei
2021	J	`jnl`	Optimal Structured Principal Subspace Estimation: Metric Entropy and Minimax Rates. J. Mach. Learn. Res. T. Tony Cai, Hongzhe Li, Rong Ma
2021	J	`jnl`	Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data. CoRR T. Tony Cai, Rong Ma
2020	J	`jnl`	Distributed Gaussian Mean Estimation under Communication Constraints: Optimal Rates and Communication-Efficient Algorithms. CoRR T. Tony Cai, Hongji Wei
2020	J	`jnl`	The Cost of Privacy in Generalized Linear Models: Algorithms and Minimax Lower Bounds. CoRR T. Tony Cai, Yichen Wang, Linjun Zhang
2020	J	`jnl`	Weighted Message Passing and Minimum Energy Flow for Heterogeneous Stochastic Block Models with Side Information. J. Mach. Learn. Res. T. Tony Cai, Tengyuan Liang, Alexander Rakhlin
2019	J	`jnl`	Sparse Group Lasso: Optimal Sample Complexity, Convergence Rate, and Statistical Inference. CoRR T. Tony Cai, Anru Zhang, Yuchen Zhou
2019	J	`jnl`	The Cost of Privacy: Optimal Rates of Convergence for Parameter Estimation with Differential Privacy. CoRR T. Tony Cai, Yichen Wang, Linjun Zhang
2019	J	`jnl`	Transfer Learning for Nonparametric Classification: Minimax Rate and Adaptive Classifier. CoRR T. Tony Cai, Hongji Wei
2018	J	`jnl`	Statistical and Computational Limits for Sparse Matrix Detection. CoRR T. Tony Cai, Yihong Wu
2017	J	`jnl`	On Detection and Structural Reconstruction of Small-World Random Networks. IEEE Trans. Netw. Sci. Eng. T. Tony Cai, Tengyuan Liang, Alexander Rakhlin
2017	J	`jnl`	Optimal detection of weak positive latent dependence between two sequences of multiple tests. J. Multivar. Anal. Sihai Dave Zhao, T. Tony Cai, Hongzhe Li
2016	J	`jnl`	Inference for high-dimensional differential correlation matrices. J. Multivar. Anal. T. Tony Cai, Anru Zhang
2016	J	`jnl`	Minimax rate-optimal estimation of high-dimensional covariance matrices with incomplete data. J. Multivar. Anal. T. Tony Cai, Anru Zhang
2016	J	`jnl`	On Detection and Structural Reconstruction of Small-World Random Networks. CoRR T. Tony Cai, Tengyuan Liang, Alexander Rakhlin
2015	J	`jnl`	Law of log determinant of sample covariance matrix and optimal estimation of differential entropy for high-dimensional Gaussian distributions. J. Multivar. Anal. T. Tony Cai, Tengyuan Liang, Harrison H. Zhou
2015	J	`jnl`	Optimal Rates of Convergence for Noisy Sparse Phase Retrieval via Thresholded Wirtinger Flow. CoRR T. Tony Cai, Xiaodong Li, Zongming Ma
2014	J	`jnl`	High-dimensional sparse MANOVA. J. Multivar. Anal. T. Tony Cai, Yin Xia
2014	J	`jnl`	Optimal Detection of Sparse Mixtures Against a Given Null Distribution. IEEE Trans. Inf. Theory T. Tony Cai, Yihong Wu
2014	J	`jnl`	Rate-Optimal Detection of Very Short Signal Segments. CoRR T. Tony Cai, Ming Yuan
2014	J	`jnl`	Robust and Computationally Feasible Community Detection in the Presence of Arbitrary Outlier Nodes. CoRR T. Tony Cai, Xiaodong Li
2014	J	`jnl`	Sparse Representation of a Polytope and Recovery of Sparse Signals and Low-Rank Matrices. IEEE Trans. Inf. Theory T. Tony Cai, Anru Zhang
2013	J	`jnl`	A max-norm constrained minimization approach to 1-bit matrix completion. J. Mach. Learn. Res. T. Tony Cai, Wen-Xin Zhou
2013	J	`jnl`	Compressed Sensing and Affine Rank Minimization Under Restricted Isometry. IEEE Trans. Signal Process. T. Tony Cai, Anru Zhang
2013	J	`jnl`	Compressed Sensing and Affine Rank Minimization under Restricted Isometry CoRR T. Tony Cai, Anru Zhang
2013	J	`jnl`	Distributions of angles in random packing on spheres. J. Mach. Learn. Res. T. Tony Cai, Jianqing Fan, Tiefeng Jiang
2013	J	`jnl`	Law of Log Determinant of Sample Covariance Matrix and Optimal Estimation of Differential Entropy for High-Dimensional Gaussian Distributions. CoRR T. Tony Cai, Tengyuan Liang, Harrison H. Zhou
2013	J	`jnl`	Matrix completion via max-norm constrained optimization CoRR T. Tony Cai, Wenxin Zhou
2013	J	`jnl`	ROP: Matrix Recovery via Rank-One Projections. CoRR T. Tony Cai, Anru Zhang
2013	—	`conf`	Recent results on sparse principle component analysis. CAMSAP T. Tony Cai, Zongming Ma, Yihong Wu
2013	J	`jnl`	Sharp RIP Bound for Sparse Signal and Low-Rank Matrix Recovery CoRR T. Tony Cai, Anru Zhang
2013	J	`jnl`	Sparse Representation of a Polytope and Recovery of Sparse Signals and Low-rank Matrices. CoRR T. Tony Cai, Anru Zhang
2012	J	`jnl`	Optimal Detection For Sparse Mixtures CoRR T. Tony Cai, Yihong Wu
2012	J	`jnl`	Phase transition in limiting distributions of coherence of high-dimensional random matrices. J. Multivar. Anal. T. Tony Cai, Tiefeng Jiang
2011	J	`jnl`	Orthogonal Matching Pursuit for Sparse Signal Recovery With Noise. IEEE Trans. Inf. Theory T. Tony Cai, Lie Wang
2010	J	`jnl`	New bounds for restricted isometry constants. IEEE Trans. Inf. Theory T. Tony Cai, Lie Wang, Guangwu Xu
2010	J	`jnl`	Shifting inequality and recovery of sparse signals. IEEE Trans. Signal Process. T. Tony Cai, Lie Wang, Guangwu Xu
2010	J	`jnl`	Stable recovery of sparse signals and an oracle inequality. IEEE Trans. Inf. Theory T. Tony Cai, Lie Wang, Guangwu Xu
2009	J	`jnl`	New Bounds for Restricted Isometry Constants CoRR T. Tony Cai, Lie Wang, Guangwu Xu
2009	J	`jnl`	On recovery of sparse signals via l1 minimization. IEEE Trans. Inf. Theory T. Tony Cai, Guangwu Xu, Jun Zhang
2009	J	`jnl`	Variance function estimation in multivariate nonparametric regression with fixed design. J. Multivar. Anal. T. Tony Cai, Michael Levine, Lie Wang
2008	J	`jnl`	On Recovery of Sparse Signals via ℓ CoRR T. Tony Cai, Guangwu Xu, Jun Zhang
1999	—	`conf`	Archiving and retrieval of sequential images from tomographic databases in PACS. Storage and Retrieval for Image and Video Databases (SPIE) Chi-Ren Shyu, T. Tony Cai, Lynn S. Broderick