Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Recovering low-rank matrices from few coefficients in any basis
Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization
Low-rank matrix completion by riemannian optimization
Subspace Methods for Joint Sparse Recovery
A Closed Form Solution to Multi-View Low-Rank Regression
Joint Matrices Decompositions and Blind Source Separation: A survey of methods, identification, and applications
Active Subspace: Toward Scalable Low-Rank Learning
R3MC: A Riemannian three-factor algorithm for low-rank matrix completion
Low rank tensor recovery via iterative hard thresholding
Rank-Sparsity Incoherence for Matrix Decomposition
Provable Models for Robust Low-Rank Tensor Completion
Tractable and Scalable Schatten Quasi-Norm Approximations for Rank Minimization
Sparse solution of underdetermined linear equations by stagewise orthogonal matching pursuit
A Riemannian approach to trace norm regularized low-rank tensor completion
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
tensor completion and lown - rank tensor recovery via convex optimization .
Efficient Algorithms on Robust Low-Rank Matrix Completion Against Outliers
The Power of Convex Relaxation: Near-Optimal Matrix Completion
Learning Efficient Sparse and Low Rank Models
Iteratively re-weighted least squares minimization for sparse recovery
Fixed Point and Bregman Iterative Methods for Matrix Rank Minimization
Interaction-aware driver maneuver inference in highways using realistic driver models
A Singular Value Thresholding Algorithm for Matrix Completion
Coupled torsional and axial nonlinear vibration model of the crankshaft with a propeller
Multibeam Antenna Technologies for 5G Wireless Communications
Pushing the limits: a very compact and a threshold implementation of AES