224 citations · 443 across the 6 of their papers we have counts for
6 papers
Adaptive Estimation in Two-way Sparse Reduced-rank Regression
Zhuang Ma, Zongming Ma, Tingni Sun
This paper studies the problem of estimating a large coefficient matrix in a multiple response linear regression model when the coefficient matrix could be both of low rank and spa…
Asymptotic normality and optimalities in estimation of large Gaussian graphical models
Zhao Ren, Tingni Sun, Cun-Hui Zhang +1
The Gaussian graphical model, a popular paradigm for studying relationship among variables in a wide range of applications, has attracted great attention in recent years. This pape…
Oracle inequalities for the lasso in the Cox model
Jian Huang, Tingni Sun, Zhiliang Ying +2
We study the absolute penalized maximum partial likelihood estimator in sparse, high-dimensional Cox proportional hazards regression models where the number of time-dependent covar…
Calibrated Elastic Regularization in Matrix Completion
Tingni Sun, Cun-Hui Zhang
This paper concerns the problem of matrix completion, which is to estimate a matrix from observations in a small subset of indices. We propose a calibrated spectrum elastic net met…
Sparse Matrix Inversion with Scaled Lasso
Tingni Sun, Cun-Hui Zhang
We propose a new method of learning a sparse nonnegative-definite target matrix. Our primary example of the target matrix is the inverse of a population covariance or correlation m…
Scaled Sparse Linear Regression
Tingni Sun, Cun-Hui Zhang
Scaled sparse linear regression jointly estimates the regression coefficients and noise level in a linear model. It chooses an equilibrium with a sparse regression method by iterat…