337 citations · 1.6k across the 34 of their papers we have counts for
6 papers · 1 filter
Exploration of Large Networks with Covariates via Fast and Universal Latent Space Model Fitting
Zhuang Ma, Zongming Ma
Latent space models are effective tools for statistical modeling and exploration of network data. These models can effectively model real world network characteristics such as degr…
Kernel Additive Principal Components
Xin Lu Tan, Andreas Buja, Zongming Ma
Additive principal components (APCs for short) are a nonlinear generalization of linear principal components. We focus on smallest APCs to describe additive nonlinear constraints t…
Nonparametric methods for doubly robust estimation of continuous treatment effects
Edward H. Kennedy, Zongming Ma, Matthew D. McHugh +1
Continuous treatments (e.g., doses) arise often in practice, but many available causal effect estimators are limited by either requiring parametric models for the effect curve, or…
Sparse CCA: Adaptive Estimation and Computational Barriers
Chao Gao, Zongming Ma, Harrison H. Zhou
Canonical correlation analysis is a classical technique for exploring the relationship between two sets of variables. It has important applications in analyzing high dimensional da…
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…
A Sparse SVD Method for High-dimensional Data
Dan Yang, Zongming Ma, Andreas Buja
We present a new computational approach to approximating a large, noisy data table by a low-rank matrix with sparse singular vectors. The approximation is obtained from thresholded…