4 citations · 4 across the 3 of their papers we have counts for
4 papers
Choosing the in loss: rate adaptivity on the symmetric location problem
Yu-Chun Kao, Min Xu, Cun-Hui Zhang
Given univariate random variables with the distribution, the sample midrange is the MLE for …
High-dimensional nonparametric density estimation via symmetry and shape constraints
Min Xu, Richard J. Samworth
We tackle the problem of high-dimensional nonparametric density estimation by taking the class of log-concave densities on and incorporating within it symmetry assum…
Faithful Variable Screening for High-Dimensional Convex Regression
Min Xu, Minhua Chen, John Lafferty
We study the problem of variable selection in convex nonparametric regression. Under the assumption that the true regression function is convex and sparse, we develop a screening p…
Conditional Sparse Coding and Grouped Multivariate Regression
Min Xu, John Lafferty
We study the problem of multivariate regression where the data are naturally grouped, and a regression matrix is to be estimated for each group. We propose an approach in which a d…