Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: High-dimensional covariance estimation by minimizing $\ell_1$-penalized log-determinant divergence
Sparse inverse covariance estimation with the graphical lasso
Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization
Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation
Rejoinder: The Dantzig selector: Statistical estimation when $p$ is much larger than $n$
A direct formulation for sparse PCA using semidefinite programming
Optimal exact least squares rank minimization
Empirical Bernstein Bounds and Sample Variance Penalization
Robust 1-bit Compressed Sensing and Sparse Logistic Regression: A Convex Programming Approach
Regression Shrinkage and Selection Via the Lasso
Discriminant kernel and regularization parameter learning via semidefinite programming
Minimization of Transformed L_1 Penalty: Theory, Difference of Convex Function Algorithm, and Robust Application in Compressed Sensing
Enhancing Sparsity by Reweighted L1 Minimization
A Shrinkage Approach to Large-Scale Covariance Matrix Estimation and Implications for Functional Genomics
The Adaptive Lasso and Its Oracle Properties
Nuclear norm penalization and optimal rates for noisy low rank matrix completion
On lq estimation of sparse inverse covariance
Sharp Thresholds for High-Dimensional and Noisy Sparsity Recovery Using $\ell _{1}$ -Constrained Quadratic Programming (Lasso)
Principal Component Analysis by $L_{p}$ -Norm Maximization
Bayesian Inference for a Covariance Matrix
Parallel Coordinate Descent for L1-Regularized Loss Minimization
The male orgasm: Pelvic contractions measured by anal probe
CoCharNet: Extracting Social Networks using Character Co-occurrence in Movies
Tracking curved regularized optimization solution paths
A High-Efficiency Broadband Rectenna for Ambient Wireless Energy Harvesting
MICROSTRIP BANDPASS FILTER USING MINIATURIZED HAIRPIN RESONATOR