Dong Xia

发表

Optimal estimation of low rank density matrices

Dong Xia, Vladimir Koltchinskii, V. Koltchinskii, 2015, J. Mach. Learn. Res..

Estimation of low rank density matrices: bounds in Schatten norms and other distances

V. Koltchinskii, Dong Xia, 2016, 1604.04600.

The optimality of Dantzig estimator for estimating low rank density matrices ∗

Dong Xia, 2016 .

Optimal Schatten-q and Ky-Fan-k Norm Rate of Low Rank Matrix Estimation

Dong Xia, 2014, 1403.6499.

Estimation of low rank density matrices by Pauli measurements

Dong Xia, 2016, 1610.04811.

Semiparametric Tensor Factor Analysis by Iteratively Projected SVD

Elynn Y. Chen, Jianqing Fan, Chencheng Cai, 2020, 2007.02404.

Perturbation of linear forms of singular vectors under Gaussian noise

Dong Xia, Vladimir Koltchinskii, V. Koltchinskii, 2015 .

Variable selection of linear programming discriminant estimator

Dong Xia, Dong Xia, 2017 .

Exploring Sparsity in Multi-class Linear Discriminant Analysis

Dong Xia, 2014, 1412.7983.

Optimal Regularized Online Convex Allocation by Adaptive Re-Solving

D. Tsang, Dong Xia, Wanteng Ma, 2022, ArXiv.

Higher-order accurate two-sample network inference and network hashing

Dong Xia, Qiong Wu, Meijia Shao, 2022, 2208.07573.

Higher-order accurate two-sample network inference and network hashing

Dong Xia, Qiong Wu, Meijia Shao, 2022, 2208.07573.

Consensus Knowledge Graph Learning via Multi-view Sparse Low Rank Block Model

Dong Xia, Luwan Zhang, Tianxi Cai, 2022, ArXiv.

On Polynomial Time Methods for Exact Low-Rank Tensor Completion

Dong Xia, Ming Yuan, 2019, Foundations of Computational Mathematics.

Sparse Learning via Maximum Margin Matrix Factorization

Dong Xia, Dong Xia, 2012 .

Statistical inference for large matrices

Dong Xia, 2016 .

Inference for Low-rank Tensors - No Need to Debias

Anru R. Zhang, Dong Xia, Yuchen Zhou, 2020, The Annals of Statistics.

Tensor SVD: Statistical and Computational Limits

Anru R. Zhang, Anru Zhang, Dong Xia, 2017, IEEE Transactions on Information Theory.

Edgeworth expansions for network moments

Dong Xia, Yuan Zhang, 2020, The Annals of Statistics.

Community Detection for Hypergraph Networks via Regularized Tensor Power Iteration

Z. Ke, Dong Xia, Feng Shi, 2019, 1909.06503.

Full Diversity Noncoherent Space-Time Block Codes Designs via Unique Factorizations of Signals

Dong Xia, Dong Xia, 2011 .

Computationally Efficient and Statistically Optimal Robust High-Dimensional Linear Regression

Jian-Feng Cai, Dong Xia, Jingyang Li, 2023, ArXiv.

Statistically Optimal and Computationally Efficient Low Rank Tensor Completion from Noisy Entries pdf

Ming Yuan, Cun-Hui Zhang, Dong Xia, 2017, The Annals of Statistics.

Latent Space Model for Higher-Order Networks and Generalized Tensor Decomposition pdf

Dong Xia, Zhongyuan Lyu, Yuan Zhang, 2021, J. Comput. Graph. Stat..

Community Detection on Mixture Multi-layer Networks via Regularized Tensor Decomposition pdf

Ting Li, Dong Xia, Zhongyuan Lyu, 2020, The Annals of Statistics.

Energy-Efficient Full Diversity Collaborative Unitary Space-Time Block Code Designs via Unique Factorization of Signals

Sorina Dumitrescu, Jian-Kang Zhang, Dong Xia, 2011, IEEE Transactions on Information Theory.

Confidence interval of singular vectors for high-dimensional and low-rank matrix regression pdf

Dong Xia, Dong Xia, 2018, ArXiv.

Optimal Clustering by Lloyd Algorithm for Low-Rank Mixture Model

Dong Xia, Zhongyuan Lyu, 2022, ArXiv.

Statistical inferences of linear forms for noisy matrix completion pdf

Ming Yuan, Dong Xia, M. Yuan, 2019, Journal of the Royal Statistical Society: Series B (Statistical Methodology).

Confidence Region of Singular Subspaces for Low-Rank Matrix Regression

Dong Xia, Dong Xia, 2018, IEEE Transactions on Information Theory.

Full Diversity Non-Coherent Alamouti-Based Toeplitz Space-Time Block Codes

Sorina Dumitrescu, Jian-Kang Zhang, Fengkui Gong, 2012, IEEE Transactions on Signal Processing.

On Polynomial Time Methods for Exact Low-Rank Tensor Completion

Ming Yuan, Dong Xia, M. Yuan, 2017, Found. Comput. Math..

Provable Tensor-Train Format Tensor Completion by Riemannian Optimization

Jian-Feng Cai, Dong Xia, Jingyang Li, 2021, J. Mach. Learn. Res..

Effective Tensor Sketching via Sparsification

Dong Xia, Ming Yuan, M. Yuan, 2017, IEEE Transactions on Information Theory.

Tensor Sketching: Sparsification and Rank-One Projection

M. Yuan, Dong Xia, 2017, ArXiv.

Optimal Estimation and Computational Limit of Low-rank Gaussian Mixtures

Dong Xia, Zhongyuan Lyu, Dong Xia, 2022, The Annals of Statistics.

U-Statistic Reduction: Higher-Order Accurate Risk Control and Statistical-Computational Trade-Off, with Application to Network Method-of-Moments

Dong Xia, Meijia Shao, Yuan Zhang, 2023, 2306.03793.

Non-asymptotic bounds for percentiles of independent non-identical random variables pdf

Dong Xia, Dong Xia, 2018, Statistics & Probability Letters.

Generalized Low-Rank Plus Sparse Tensor Estimation by Fast Riemannian Optimization

Jian-Feng Cai, Dong Xia, Jingyang Li, 2021, Journal of the American Statistical Association.

Statistical inferences of linear forms for noisy matrix completion pdf

Ming Yuan, Dong Xia, M. Yuan, 2019, Journal of the Royal Statistical Society: Series B (Statistical Methodology).

Computationally Efficient and Statistically Optimal Robust Low-rank Matrix Estimation

Jian-Feng Cai, Dong Xia, Jingyang Li, 2022, ArXiv.

Optimal Regularized Online Allocation by Adaptive Re-Solving

D. Tsang, Dong Xia, Ying Cao, 2022, 2209.00399.

Confidence region of singular vectors for high-dimensional and low-rank matrix regression

Dong Xia, Dong Xia, 2018, 1805.09871.