Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Asymptotic Confidence Regions for High-dimensional Structured Sparsity
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression
A Flexible Framework for Hypothesis Testing in High-dimensions
High-dimensional covariance estimation by minimizing $\ell_1$-penalized log-determinant divergence
Fast low-rank estimation by projected gradient descent: General statistical and algorithmic guarantees
A Review of Sparse Recovery Algorithms
Empirical Bernstein Bounds and Sample Variance Penalization
Rejoinder: The Dantzig selector: Statistical estimation when $p$ is much larger than $n$
The Restricted Isometry Property and Its Implications for Compressed Sensing
A stepwise regression method and consistent model selection for high-dimensional sparse linear models
Handling sparsity via the horseshoe
Sparsity and Incoherence in Compressive Sampling
Sparsity and smoothness via the fused lasso
Confounder Detection in High-Dimensional Linear Models Using First Moments of Spectral Measures
A Note on Element-wise Matrix Sparsification via a Matrix-valued Bernstein Inequality
Controlling the false discovery rate via knockoffs
adaptive lasso for sparse high - dimensional regression models .
Easy High-Dimensional Likelihood-Free Inference
A Tight Bound of Hard Thresholding
DASSO: Connections between the dantzig selector and lasso
Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation
VIGAN: Missing view imputation with generative adversarial networks
Compact Elliptic-Function Low-Pass Filter Using Defected Ground Structure
The role of leaders in influencing unethical behavior in the workplace
Some Comments on C P
Joint word segmentation, POS-tagging and syntactic chunking