17 citations · 20 across the 5 of their papers we have counts for
5 papers
Low-Rank Tensor Estimation from Nonlinear Observations: A Unified Framework
Junren Chen, Lijun Ding, Dong Xia +1
We consider the estimation of a tensor of Tucker rank from the nonlinear observations $\{y_i=f_i(\langle A_i,X^\star\rangle)\}_{…
Local Prediction-Powered Inference
Yanwu Gu, Dong Xia
To infer a function value on a specific point , it is essential to assign higher weights to the points closer to , which is called local polynomial / multivariable regression…
Optimal Clustering of Multi-layer Networks under Mixture Block Models
Zhongyuan Lyu, Ting Li, Dong Xia
We study clustering for multi-layer networks, where each observation is an undirected network measured on the same set of vertices. Under the mixture multi-layer stochastic block m…
rMultiNet: An R Package For Multilayer Networks Analysis
Ting Li, Zhongyuan Lyu, Chenyu Ren +1
This paper develops an R package rMultiNet to analyze multilayer network data. We provide two general frameworks from recent literature, e.g. mixture multilayer stochastic block mo…
Semi-parametric TEnsor Factor Analysis by Iteratively Projected Singular Value Decomposition
Elynn Y. Chen, Dong Xia, Chencheng Cai +1
This paper introduces a general framework of Semi-parametric TEnsor Factor Analysis (STEFA) that focuses on the methodology and theory of low-rank tensor decomposition with auxilia…