Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: A Comparative Framework for Preconditioned Lasso Algorithms
Regression Shrinkage and Selection Via the Lasso
An efficient projection for l 1 , infinity regularization.
An interior-point method for large-scale l1-regularized logistic regression
A robust FISTA-like algorithm
Stabilizing linear least squares problems.
The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices
Iteratively re-weighted least squares minimization for sparse recovery
Spectral regularization algorithms for learning large incomplete matrices
Fast low-rank estimation by projected gradient descent: General statistical and algorithmic guarantees
Low Complexity Damped Gauss-Newton Algorithms for CANDECOMP/PARAFAC
Ridge Leverage Scores for Low-Rank Approximation.
A coordinate gradient descent method for ℓ1-regularized convex minimization
Fixed Point and Bregman Iterative Methods for Matrix Rank Minimization
SLEP: Sparse Learning with Efficient Projections
A Review of Sparse Recovery Algorithms
Linearized augmented Lagrangian and alternating direction methods for nuclear norm minimization
Sparsity-Cognizant Total Least-Squares for Perturbed Compressive Sampling
TR 0707 A Fixed-Point Continuation Method for ` 1-Regularized Minimization with Applications to Compressed Sensing
The group Lasso for logistic regression
A non-monotonic method for large-scale nonnegative least squares
Ball tracking in sports: a survey
Massive MIMO as enabler for communications with drone swarms
Tracking curved regularized optimization solution paths
Image enhancement in projectors via optical pixel shift and overlay
DL-BAC: Distributed Ledger Based Access Control for Web Applications