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OPTIMAL RATES OF CONVERGENCE FOR NOISY SPARSE PHASE RETRIEVAL VIA THRESHOLDED WIRTINGER FLOW

The Annals of statistics, 2016-10, Vol.44 (5), p.2221-2251

2016

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SPARSE PCA: OPTIMAL RATES AND ADAPTIVE ESTIMATION

The Annals of statistics, 2013-12, Vol.41 (6), p.3074-3110

2013

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Two‐sample test of high dimensional means under dependence

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2014-03, Vol.76 (2), p.349-372

2014

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Transfer learning for high‐dimensional linear regression: Prediction, estimation and minimax optimality

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2022-02, Vol.84 (1), p.149-173

2022

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Semisupervised inference for explained variance in high dimensional linear regression and its applications

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2020-04, Vol.82 (2), p.391-419

2020

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LIMITING LAWS OF COHERENCE OF RANDOM MATRICES WITH APPLICATIONS TO TESTING COVARIANCE STRUCTURE AND CONSTRUCTION OF COMPRESSED SENSING MATRICES

The Annals of statistics, 2011-06, Vol.39 (3), p.1496-1525

2011

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The cost of privacy: Optimal rates of convergence for parameter estimation with differential privacy

The Annals of statistics, 2021-10, Vol.49 (5), p.2825

2021

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LIMITING LAWS FOR DIVERGENT SPIKED EIGENVALUES AND LARGEST NONSPIKED EIGENVALUE OF SAMPLE COVARIANCE MATRICES

The Annals of statistics, 2020-06, Vol.48 (3), p.1255-1280

2020

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High dimensional linear discriminant analysis: optimality, adaptive algorithm and missing data

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2019-09, Vol.81 (4), p.675-705

2019

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Confidence intervals for causal effects with invalid instruments by using two-stage hard thresholding with voting

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2018-09, Vol.80 (4), p.793-815

2018

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Prediction in Functional Linear Regression

The Annals of statistics, 2006-10, Vol.34 (5), p.2159-2179

2006

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Optimal statistical inference for individualized treatment effects in high‐dimensional models

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2021-09, Vol.83 (4), p.669-719

2021

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ESTIMATING SPARSE PRECISION MATRIX: OPTIMAL RATES OF CONVERGENCE AND ADAPTIVE ESTIMATION

The Annals of statistics, 2016-04, Vol.44 (2), p.455-488

2016

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OPTIMAL RATES OF CONVERGENCE FOR SPARSE COVARIANCE MATRIX ESTIMATION

The Annals of statistics, 2012-10, Vol.40 (5), p.2389-2420

2012

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Heteroskedastic PCA: Algorithm, optimality, and applications

The Annals of statistics, 2022-02, Vol.50 (1), p.53

2022

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CHIME: CLUSTERING OF HIGH-DIMENSIONAL GAUSSIAN MIXTURES WITH EM ALGORITHM AND ITS OPTIMALITY

The Annals of statistics, 2019-06, Vol.47 (3), p.1234-1267

2019

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False discovery control in large‐scale spatial multiple testing

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2015-01, Vol.77 (1), p.59-83

2015

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Covariate-assisted ranking and screening for large-scale two-sample inference

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2019-04, Vol.81 (2), p.187-234

2019

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SEMI-SUPERVISED INFERENCE: GENERAL THEORY AND ESTIMATION OF MEANS

The Annals of statistics, 2019-10, Vol.47 (5), p.2538-2566

2019

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ADAPTIVE COVARIANCE MATRIX ESTIMATION THROUGH BLOCK THRESHOLDING

The Annals of statistics, 2012-08, Vol.40 (4), p.2014-2042

2012

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Optimal screening and discovery of sparse signals with applications to multistage high throughput studies

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2017-01, Vol.79 (1), p.197-223

2017

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OPTIMAL RATES OF CONVERGENCE FOR COVARIANCE MATRIX ESTIMATION

The Annals of statistics, 2010-08, Vol.38 (4), p.2118-2144

2010

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ACCURACY ASSESSMENT FOR HIGH-DIMENSIONAL LINEAR REGRESSION

The Annals of statistics, 2018-08, Vol.46 (4), p.1807-1836

2018

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Distributed adaptive Gaussian mean estimation with unknown variance: Interactive protocol helps adaptation

The Annals of statistics, 2022-08, Vol.50 (4), p.1992

2022

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Estimating structured high-dimensional covariance and precision matrices: Optimal rates and adaptive estimation

Electronic journal of statistics, 2016-01, Vol.10 (1)

2016

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OPTIMAL RATES OF CONVERGENCE FOR NOISY SPARSE PHASE RETRIEVAL VIA THRESHOLDED WIRTINGER FLOW

SPARSE PCA: OPTIMAL RATES AND ADAPTIVE ESTIMATION

Two‐sample test of high dimensional means under dependence

Transfer learning for high‐dimensional linear regression: Prediction, estimation and minimax optimality

Semisupervised inference for explained variance in high dimensional linear regression and its applications

LIMITING LAWS OF COHERENCE OF RANDOM MATRICES WITH APPLICATIONS TO TESTING COVARIANCE STRUCTURE AND CONSTRUCTION OF COMPRESSED SENSING MATRICES

The cost of privacy: Optimal rates of convergence for parameter estimation with differential privacy

LIMITING LAWS FOR DIVERGENT SPIKED EIGENVALUES AND LARGEST NONSPIKED EIGENVALUE OF SAMPLE COVARIANCE MATRICES

High dimensional linear discriminant analysis: optimality, adaptive algorithm and missing data

Confidence intervals for causal effects with invalid instruments by using two-stage hard thresholding with voting

Prediction in Functional Linear Regression

Optimal statistical inference for individualized treatment effects in high‐dimensional models

ESTIMATING SPARSE PRECISION MATRIX: OPTIMAL RATES OF CONVERGENCE AND ADAPTIVE ESTIMATION

OPTIMAL RATES OF CONVERGENCE FOR SPARSE COVARIANCE MATRIX ESTIMATION

Heteroskedastic PCA: Algorithm, optimality, and applications

CHIME: CLUSTERING OF HIGH-DIMENSIONAL GAUSSIAN MIXTURES WITH EM ALGORITHM AND ITS OPTIMALITY

False discovery control in large‐scale spatial multiple testing

Covariate-assisted ranking and screening for large-scale two-sample inference

SEMI-SUPERVISED INFERENCE: GENERAL THEORY AND ESTIMATION OF MEANS

ADAPTIVE COVARIANCE MATRIX ESTIMATION THROUGH BLOCK THRESHOLDING

Optimal screening and discovery of sparse signals with applications to multistage high throughput studies

OPTIMAL RATES OF CONVERGENCE FOR COVARIANCE MATRIX ESTIMATION

ACCURACY ASSESSMENT FOR HIGH-DIMENSIONAL LINEAR REGRESSION

Distributed adaptive Gaussian mean estimation with unknown variance: Interactive protocol helps adaptation

Estimating structured high-dimensional covariance and precision matrices: Optimal rates and adaptive estimation

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