T. Tony Cai

Rong Ma

IEEE Trans. Inf. Theory, January, 2024

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

[BibT_eX]

[DOI]

Hongji Wei

J. Mach. Learn. Res., 2024

Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints.

[BibT_eX]

[DOI]

Abhinav Chakraborty

Lasse Vuursteen

CoRR, 2024

Federated Nonparametric Hypothesis Testing with Differential Privacy Constraints: Optimal Rates and Adaptive Tests.

[BibT_eX]

[DOI]

Abhinav Chakraborty

Lasse Vuursteen

CoRR, 2024

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

[BibT_eX]

[DOI]

Hongming Pu

CoRR, 2024

Optimal Differentially Private PCA and Estimation for Spiked Covariance Matrices.

[BibT_eX]

[DOI]

Dong Xia

Mengyue Zha

CoRR, 2024

2023

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

[BibT_eX]

[DOI]

Yichen Wang

Linjun Zhang

CoRR, 2023

2022

Sparse Group Lasso: Optimal Sample Complexity, Convergence Rate, and Statistical Inference.

[BibT_eX]

[DOI]

Anru R. Zhang

Yuchen Zhou

IEEE Trans. Inf. Theory, 2022

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

[BibT_eX]

[DOI]

Rong Ma

J. Mach. Learn. Res., 2022

Transfer Learning for Contextual Multi-armed Bandits.

[BibT_eX]

[DOI]

Changxiao Cai

Hongzhe Li

CoRR, 2022

2021

Optimal Structured Principal Subspace Estimation: Metric Entropy and Minimax Rates.

[BibT_eX]

[DOI]

Hongzhe Li

Rong Ma

J. Mach. Learn. Res., 2021

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

[BibT_eX]

[DOI]

Hongji Wei

CoRR, 2021

2020

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

[BibT_eX]

[DOI]

Tengyuan Liang

Alexander Rakhlin

J. Mach. Learn. Res., 2020

The Cost of Privacy in Generalized Linear Models: Algorithms and Minimax Lower Bounds.

[BibT_eX]

[DOI]

Yichen Wang

Linjun Zhang

CoRR, 2020

2019

Transfer Learning for Nonparametric Classification: Minimax Rate and Adaptive Classifier.

[BibT_eX]

[DOI]

Hongji Wei

CoRR, 2019

The Cost of Privacy: Optimal Rates of Convergence for Parameter Estimation with Differential Privacy.

[BibT_eX]

[DOI]

Yichen Wang

Linjun Zhang

CoRR, 2019

2018

Statistical and Computational Limits for Sparse Matrix Detection.

[BibT_eX]

[DOI]

CoRR, 2018

2017

On Detection and Structural Reconstruction of Small-World Random Networks.

[BibT_eX]

[DOI]

Tengyuan Liang

Alexander Rakhlin

IEEE Trans. Netw. Sci. Eng., 2017

Optimal detection of weak positive latent dependence between two sequences of multiple tests.

[BibT_eX]

[DOI]

Sihai Dave Zhao

Hongzhe Li

J. Multivar. Anal., 2017

2016

Minimax rate-optimal estimation of high-dimensional covariance matrices with incomplete data.

[BibT_eX]

[DOI]

J. Multivar. Anal., 2016

Inference for high-dimensional differential correlation matrices.

[BibT_eX]

[DOI]

J. Multivar. Anal., 2016

2015

Law of log determinant of sample covariance matrix and optimal estimation of differential entropy for high-dimensional Gaussian distributions.

[BibT_eX]

[DOI]

Tengyuan Liang

Harrison H. Zhou

J. Multivar. Anal., 2015

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

[BibT_eX]

[DOI]

Xiaodong Li

Zongming Ma

CoRR, 2015

2014

Sparse Representation of a Polytope and Recovery of Sparse Signals and Low-Rank Matrices.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2014

Optimal Detection of Sparse Mixtures Against a Given Null Distribution.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2014

High-dimensional sparse MANOVA.

[BibT_eX]

[DOI]

Yin Xia

J. Multivar. Anal., 2014

Rate-Optimal Detection of Very Short Signal Segments.

[BibT_eX]

[DOI]

Ming Yuan

CoRR, 2014

Robust and Computationally Feasible Community Detection in the Presence of Arbitrary Outlier Nodes.

[BibT_eX]

[DOI]

Xiaodong Li

CoRR, 2014

2013

Compressed Sensing and Affine Rank Minimization Under Restricted Isometry.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2013

Distributions of angles in random packing on spheres.

[BibT_eX]

[DOI]

Jianqing Fan

Tiefeng Jiang

J. Mach. Learn. Res., 2013

Matrix completion via max-norm constrained optimization

[BibT_eX]

[DOI]

Wenxin Zhou

CoRR, 2013

Sharp RIP Bound for Sparse Signal and Low-Rank Matrix Recovery

[BibT_eX]

[DOI]

CoRR, 2013

ROP: Matrix Recovery via Rank-One Projections.

[BibT_eX]

[DOI]

CoRR, 2013

Recent results on sparse principle component analysis.

[BibT_eX]

[DOI]

Zongming Ma

Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

2012

Phase transition in limiting distributions of coherence of high-dimensional random matrices.

[BibT_eX]

[DOI]

Tiefeng Jiang

J. Multivar. Anal., 2012

Optimal Detection For Sparse Mixtures

[BibT_eX]

[DOI]

CoRR, 2012

2011

Orthogonal Matching Pursuit for Sparse Signal Recovery With Noise.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2011

2010

Shifting inequality and recovery of sparse signals.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2010

New bounds for restricted isometry constants.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2010

Stable recovery of sparse signals and an oracle inequality.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2010

2009

On recovery of sparse signals via l1 minimization.

[BibT_eX]

[DOI]

Jun Zhang

IEEE Trans. Inf. Theory, 2009

Variance function estimation in multivariate nonparametric regression with fixed design.

[BibT_eX]

[DOI]

Michael Levine

J. Multivar. Anal., 2009

2008

On Recovery of Sparse Signals via ℓ<sub>1</sub> Minimization

[BibT_eX]

[DOI]

Jun Zhang

CoRR, 2008

1999

Archiving and retrieval of sequential images from tomographic databases in PACS.

[BibT_eX]

[DOI]

Chi-Ren Shyu