Learning with tensors: a framework based on convex optimization and spectral regularization

Tensor Versus Matrix Completion: A Comparison With Application to Spectral Data

(2011) Marco Signoretto et al.   IEEE SIGNAL PROCESSING LETTERS

Face Image Modeling by Multilinear Subspace Analysis With Missing Values

(2011) Xin Geng et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Tensor completion and low-n-rank tensor recovery via convex optimization

(2011) Silvia Gandy et al.   INVERSE PROBLEMS

Robust principal component analysis?

(2011) Emmanuel J. Candès et al.   JOURNAL OF THE ACM

A kernel-based framework to tensorial data analysis

(2011) Marco Signoretto et al.   NEURAL NETWORKS

Scalable tensor factorizations for incomplete data

(2010) Evrim Acar et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Matrix Completion With Noise

(2010) Emmanuel J Candes et al.   PROCEEDINGS OF THE IEEE

A Singular Value Thresholding Algorithm for Matrix Completion

(2010) Jian-Feng Cai et al.   SIAM JOURNAL ON OPTIMIZATION

Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization

(2010) Benjamin Recht et al.   SIAM REVIEW

The composite absolute penalties family for grouped and hierarchical variable selection

(2009) Peng Zhao et al.   ANNALS OF STATISTICS

Exact Matrix Completion via Convex Optimization

(2009) Emmanuel J. Candès et al.   FOUNDATIONS OF COMPUTATIONAL MATHEMATICS

Fixed point and Bregman iterative methods for matrix rank minimization

(2009) Shiqian Ma et al.   MATHEMATICAL PROGRAMMING

A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems

(2009) Amir Beck et al.   SIAM Journal on Imaging Sciences

Tensor Decompositions and Applications

(2009) Tamara G. Kolda et al.   SIAM REVIEW

A proximal decomposition method for solving convex variational inverse problems

(2008) Patrick L Combettes et al.   INVERSE PROBLEMS

Convex multi-task feature learning

(2008) Andreas Argyriou et al.   MACHINE LEARNING