COMPUTATIONALLY EFFICIENT AND STATISTICALLY OPTIMAL ROBUST HIGH-DIMENSIONAL LINEAR REGRESSION

Higher-Order Accurate Two-Sample Network Inference and Network Hashing

Online Policy Learning and Inference by Matrix Completion

Optimal clustering by Lloyd’s algorithm for low-rank mixture model

Optimal Regularized Online Allocation by Adaptive Re-Solving

Tensors in High-Dimensional Data Analysis: Methodological Opportunities and Theoretical Challenges

U-Statistic Reduction: Higher-Order Accurate Risk Control and Statistical-Computational Trade-Off

High-dimensional Linear Bandits with Knapsacks

Semi-parametric tensor factor analysis by iteratively projected singular value decomposition

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

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

INFERENCE FOR LOW-RANK TENSORS-NO NEED TO DEBIAS

Provable Tensor-Train Format Tensor Completion by Riemannian Optimization

COMMUNITY DETECTION on MIXTURE MULTILAYER NETWORKS VIA REGULARIZED 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

Confidence Region of Singular Subspaces for Low-Rank Matrix Regression

Article

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

Article

On Polynomial Time Methods for Exact Low-Rank Tensor Completion

Article

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

Article

Tensor SVD: Statistical and Computational Limits

Article

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

Book chapter

Optimal estimation of low rank density matrices

Article