881 citations · 1.5k across the 10 of their papers we have counts for
10 papers
Heterogeneous Domain Adaptation with Adversarial Neural Representation Learning: Experiments on E-Commerce and Cybersecurity
Mohammadreza Ebrahimi, Yidong Chai, Hao Helen Zhang +1
Learning predictive models in new domains with scarce training data is a growing challenge in modern supervised learning scenarios. This incentivizes developing domain adaptation m…
Linear Algorithms for Robust and Scalable Nonparametric Multiclass Probability Estimation
Liyun Zeng, Hao Helen Zhang
Multiclass probability estimation is the problem of estimating conditional probabilities of a data point belonging to a class given its covariate information. It has broad applicat…
Nonparametric Trace Regression in High Dimensions via Sign Series Representation
Chanwoo Lee, Lexin Li, Hao Helen Zhang +1
Learning of matrix-valued data has recently surged in a range of scientific and business applications. Trace regression is a widely used method to model effects of matrix predictor…
Model Selection for High Dimensional Quadratic Regression via Regularization
Ning Hao, Yang Feng, Hao Helen Zhang
Quadratic regression (QR) models naturally extend linear models by considering interaction effects between the covariates. To conduct model selection in QR, it is important to main…
A Note on High Dimensional Linear Regression with Interactions
Ning Hao, Hao Helen Zhang
The problem of interaction selection has recently caught much attention in high dimensional data analysis. This note aims to address and clarify several fundamental issues in inter…
Sparse and Efficient Estimation for Partial Spline Models with Increasing Dimension
Guang Cheng, Hao Helen Zhang, Zuofeng Shang
We consider model selection and estimation for partial spline models and propose a new regularization method in the context of smoothing splines. The regularization method has a si…