Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Convex Regularization for High-Dimensional Tensor Regression
tensor completion and lown - rank tensor recovery via convex optimization .
Escaping From Saddle Points --- Online Stochastic Gradient for Tensor Decomposition
Multilinear Discriminant Analysis for Higher-Order Tensor Data Classification
Online Robust Low-Rank Tensor Modeling for Streaming Data Analysis
Supervised tensor learning
Singular Values and Eigenvalues of Tensors: A Variational Approach
Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers
Laplacian Regularized Low-Rank Representation and Its Applications
Efficient Sparse Low-Rank Tensor Completion Using the Frank-Wolfe Algorithm
Nonconvex Splitting for Regularized Low-Rank + Sparse Decomposition
Constrained Tensor Factorization with Accelerated AO-ADMM
Fast and Guaranteed Tensor Decomposition via Sketching
Fundamental Tensor Operations for Large-Scale Data Analysis in Tensor Train Formats
Tensor theta norms and low rank recovery
Multi-View Subspace Clustering via Relaxed L 1 -Norm of Tensor Multi-Rank.
Fast smooth rank approximation for tensor completion
a comprehensive survey for low rank regularization .
Discriminant Locally Linear Embedding With High-Order Tensor Data
Cross: Efficient Low-rank Tensor Completion
Non-negative tensor factorization with applications to statistics and computer vision
Cache profiling and the SPEC benchmarks: a case study
Nonword Repetition and Sentence Repetition as Clinical Markers of Specific Language Impairment: The Case of Cantonese
Microservices in the modern software world
CoChat: Enabling Bot and Human Collaboration for Task Completion
A dual algorithm for the solution of nonlinear variational problems via finite element approximation