Latent Space Model for Higher-order Networks and Generalized Tensor Decomposition

Optimal estimation and computational limit of low-rank Gaussian mixtures

Edgeworth Expansions for Network Moments

Generalized Low-rank plus Sparse Tensor Estimation by Fast Riemannian Optimization

INFERENCE FOR LOW-RANK TENSORS—NO NEED TO DEBIAS

Provable Tensor-Train Format Tensor Completion by Riemannian Optimization

Community detection on mixture multi-layer networks via regularised tensor decomposition

Effective Tensor Sketching via Sparsification

Normal approximation and confidence region of singular subspaces

Statistical Inferences of Linear Forms for Noisy Matrix Completion

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

Confidence Region of Singular Subspaces for Low-rank Matrix Regression

Non-asymptotic Bounds for Percentiles of Independent Non-identical Random Variables

On Polynomial Time Methods for Exact Low-Rank Tensor Completion

The Sup-norm Perturbation of HOSVD and Low Rank Tensor Denoising

Tensor SVD: Statistical and Computational Limits.

Estimation of Low Rank Density Matrices by Pauli Measurements

Variable Selection of Linear Programming Discriminant Estimator

Estimation of Low Rank Density Matrices: Bounds in Schatten Norms and Other Distances

Perturbation of Linear Forms of Singular Vectors Under Gaussian Noise

Optimal Estimation of Low Rank Density Matrices

Estimation of Low Rank Density Matrices by Pauli Measurements

Article

Variable Selection of Linear Programming Discriminant Estimator

Article

Estimation of Low Rank Density Matrices: Bounds in Schatten Norms and Other Distances

Article

Perturbation of Linear Forms of Singular Vectors Under Gaussian Noise

Conference paper

Optimal Estimation of Low Rank Density Matrices

Article