Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Adaptive Sampling and Fast Low-Rank Matrix Approximation
A Fast Random Sampling Algorithm for Sparsifying Matrices
Optimal exact least squares rank minimization
Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization
Learning Efficient Sparse and Low Rank Models
Improved Approximation Algorithms for Large Matrices via Random Projections
Efficient Algorithms on Robust Low-Rank Matrix Completion Against Outliers
Efficient Implementation of the K-SVD Algorithm using Batch Orthogonal Matching Pursuit
Robust principal component analysis based on low-rank and block-sparse matrix decomposition
Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers
R3MC: A Riemannian three-factor algorithm for low-rank matrix completion
GoDec: Randomized Lowrank & Sparse Matrix Decomposition in Noisy Case
Provable Low-Rank Tensor Recovery
$L_{1}$ -Norm Low-Rank Matrix Decomposition by Neural Networks and Mollifiers
Low rank approximation and regression in input sparsity time
Low-rank matrix completion via preconditioned optimization on the Grassmann manifold
Low-Rank Matrix Completion in the Presence of High Coherence
Fixed Point and Bregman Iterative Methods for Matrix Rank Minimization
The Power of Convex Relaxation: Near-Optimal Matrix Completion
Fast Nonnegative Matrix/Tensor Factorization Based on Low-Rank Approximation
Guaranteed Rank Minimization via Singular Value Projection
A Novel Scheduling Mechanism For Hybrid Cloud Systems
Automatic subspace clustering of high dimensional data for data mining applications
Hyperparameter Optimization for Tracking with Continuous Deep Q-Learning
prediction of winners in moba games .
Heat transfer enhancement for thermal energy storage using metal foams embedded within phase change materials (PCMs)