28 citations · 112 across the 12 of their papers we have counts for
12 papers
Statistical and computational rates in high rank tensor estimation
Chanwoo Lee, Miaoyan Wang
Higher-order tensor datasets arise commonly in recommendation systems, neuroimaging, and social networks. Here we develop probable methods for estimating a possibly high rank signa…
Multiway Spherical Clustering via Degree-Corrected Tensor Block Models
Jiaxin Hu, Miaoyan Wang
We consider the problem of multiway clustering in the presence of unknown degree heterogeneity. Such data problems arise commonly in applications such as recommendation system, neu…
Statistical and Computational Efficiency for Smooth Tensor Estimation with Unknown Permutations
Chanwoo Lee, Miaoyan Wang
We consider the problem of structured tensor denoising in the presence of unknown permutations. Such data problems arise commonly in recommendation system, neuroimaging, community…
Nonparametric Trace Regression in High Dimensions via Sign Series Representation
Chanwoo Lee, Lexin Li, Hao Helen Zhang +1
Learning of matrix-valued data has recently surged in a range of scientific and business applications. Trace regression is a widely used method to model effects of matrix predictor…
Beyond the Signs: Nonparametric Tensor Completion via Sign Series
Chanwoo Lee, Miaoyan Wang
We consider the problem of tensor estimation from noisy observations with possibly missing entries. A nonparametric approach to tensor completion is developed based on a new model…
Exact Clustering in Tensor Block Model: Statistical Optimality and Computational Limit
Rungang Han, Yuetian Luo, Miaoyan Wang +1
High-order clustering aims to identify heterogeneous substructures in multiway datasets that arise commonly in neuroimaging, genomics, social network studies, etc. The non-convex a…
Tensor denoising and completion based on ordinal observations
Chanwoo Lee, Miaoyan Wang
Higher-order tensors arise frequently in applications such as neuroimaging, recommendation system, social network analysis, and psychological studies. We consider the problem of lo…
Supervised tensor decomposition with features on multiple modes
Jiaxin Hu, Chanwoo Lee, Miaoyan Wang
Higher-order tensors have received increased attention across science and engineering. While most tensor decomposition methods are developed for a single tensor observation, scient…
Multiway clustering via tensor block models
Miaoyan Wang, Yuchen Zeng
We consider the problem of identifying multiway block structure from a large noisy tensor. Such problems arise frequently in applications such as genomics, recommendation system, t…
Learning from Binary Multiway Data: Probabilistic Tensor Decomposition and its Statistical Optimality
Miaoyan Wang, Lexin Li
We consider the problem of decomposing a higher-order tensor with binary entries. Such data problems arise frequently in applications such as neuroimaging, recommendation system, t…
Tensor Decompositions via Two-Mode Higher-Order SVD (HOSVD)
Miaoyan Wang, Yun S. Song
Tensor decompositions have rich applications in statistics and machine learning, and developing efficient, accurate algorithms for the problem has received much attention recently.…
Operator Norm Inequalities between Tensor Unfoldings on the Partition Lattice
Miaoyan Wang, Khanh Dao Duc, Jonathan Fischer +1
Interest in higher-order tensors has recently surged in data-intensive fields, with a wide range of applications including image processing, blind source separation, community dete…