T. Tony Cai

T. Tony Cai

University of Pennsylvania

H-index: 77

North America-United States

About T. Tony Cai

T. Tony Cai, With an exceptional h-index of 77 and a recent h-index of 57 (since 2020), a distinguished researcher at University of Pennsylvania, specializes in the field of high dimensional statistics, statistical machine learning, large-scale inference, statistical decision theory, nonparametric fun.

His recent articles reflect a diverse array of research interests and contributions to the field:

Transfer Learning for Functional Mean Estimation: Phase Transition and Adaptive Algorithms

Transfer learning for nonparametric regression: Non-asymptotic minimax analysis and adaptive procedure

Testing high-dimensional multinomials with applications to text analysis

Optimal Differentially Private PCA and Estimation for Spiked Covariance Matrices

THE ANNALS

Distributed Gaussian Mean Estimation under Communication Constraints: Optimal Rates and Communication-Efficient Algorithms

Transfer learning for contextual multi-armed bandits

Estimation and inference for minimizer and minimum of convex functions: Optimality, adaptivity and uncertainty principles

T. Tony Cai Information

University

Position

Professor of Statistics

Citations(all)

24443

Citations(since 2020)

11774

Cited By

17819

hIndex(all)

77

hIndex(since 2020)

57

i10Index(all)

171

i10Index(since 2020)

154

Email

University Profile Page

University of Pennsylvania

Google Scholar

View Google Scholar Profile

T. Tony Cai Skills & Research Interests

high dimensional statistics

statistical machine learning

large-scale inference

statistical decision theory

nonparametric fun

Top articles of T. Tony Cai

Title

Journal

Author(s)

Publication Date

Transfer Learning for Functional Mean Estimation: Phase Transition and Adaptive Algorithms

arXiv preprint arXiv:2401.12331

Tony Cai

Dongwoo Kim

Hongming Pu

2024

Transfer learning for nonparametric regression: Non-asymptotic minimax analysis and adaptive procedure

arXiv preprint arXiv:2401.12272

T Tony Cai

Hongming Pu

2022

Testing high-dimensional multinomials with applications to text analysis

Journal of Royal Statistical Society - Series B (accepted)

T Tony Cai

Zheng Tracy Ke

Paxton Turner

2023/1/3

Optimal Differentially Private PCA and Estimation for Spiked Covariance Matrices

arXiv preprint arXiv:2401.03820

T Tony Cai

Dong Xia

Mengyue Zha

2024/1/8

THE ANNALS

The Annals of Probability

PETER K FRIZ

PAVEL ZORIN-KRANICH

XIN CHEN

XUEMEI LI

BO WU

...

2023/3

Distributed Gaussian Mean Estimation under Communication Constraints: Optimal Rates and Communication-Efficient Algorithms

arXiv preprint arXiv:2001.08877

T Tony Cai

Hongji Wei

2020/1/24

Transfer learning for contextual multi-armed bandits

The Annals of Statistics

Changxiao Cai

T Tony Cai

Hongzhe Li

2024/2

Estimation and inference for minimizer and minimum of convex functions: Optimality, adaptivity and uncertainty principles

The Annals of Statistics

T Tony Cai

Ran Chen

Yuancheng Zhu

2024/2

Transfer learning in large-scale gaussian graphical models with false discovery rate control

Journal of the American Statistical Association

Sai Li

T Tony Cai

Hongzhe Li

2023/7/3

Phylogenetic association analysis with conditional rank correlation

Biometrika

Shulei Wang

Bo Yuan

T Tony Cai

Hongzhe Li

2023/12/1

Estimation and inference for high-dimensional generalized linear models with knowledge transfer

Journal of Machine Learning Research

Zhe Fei

Yi Li

2021

Matrix reordering for noisy disordered matrices: Optimality and computationally efficient algorithms

IEEE Transactions on Information Theory

T Tony Cai

Rong Ma

2023/8/15

Statistical inference for high-dimensional generalized linear models with binary outcomes

Journal of the American Statistical Association

T Tony Cai

Zijian Guo

Rong Ma

2023/4/3

Statistical inference and large-scale multiple testing for high-dimensional regression models

Test

T Tony Cai

Zijian Guo

Yin Xia

2023/7/5

Score attack: A lower bound technique for optimal differentially private learning

arXiv preprint arXiv:2303.07152

T Tony Cai

Yichen Wang

Linjun Zhang

2023/3/13

Discussion of “A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models” by Dai, Lin, Xing, and Liu

Journal of the American Statistical Association

Lucas Janson

2023/7/3

Sparse topic modeling: Computational efficiency, near-optimal algorithms, and statistical inference

Journal of the American Statistical Association

Ruijia Wu

Linjun Zhang

T Tony Cai

2023/7/3

Rejoinder on: statistical inference and large-scale multiple testing for high-dimensional regression models

Test

T Tony Cai

Zijian Guo

Yin Xia

2023/12

Optimal Estimation of Simultaneous Signals Using Absolute Inner Product with Applications to Integrative Genomics

Statistica Sinica

Rong Ma

T Tony Cai

Hongzhe Li

2022/1/1

Sparse group lasso: Optimal sample complexity, convergence rate, and statistical inference

IEEE Transactions on Information Theory

T Tony Cai

Anru R Zhang

Yuchen Zhou

2022/9

See List of Professors in T. Tony Cai University(University of Pennsylvania)

Co-Authors

H-index: 82
Hongzhe Li, PhD

Hongzhe Li, PhD

University of Pennsylvania

H-index: 62
Dylan Small

Dylan Small

University of Pennsylvania

H-index: 52
Alexander Rakhlin

Alexander Rakhlin

Massachusetts Institute of Technology

H-index: 51
Ming Yuan

Ming Yuan

Columbia University in the City of New York

H-index: 34
Harrison H. Zhou

Harrison H. Zhou

Yale University

H-index: 28
Anru Zhang

Anru Zhang

University of Wisconsin-Madison

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