3 citations · 3 across the 4 of their papers we have counts for
4 papers
HiMAP: Hilbert Mass-Addressed Parameterization for Multivariate Barycenters and Frećhet Regression
Tao Wang, Qiannan Huang, Jun Zhu +1
Learning from multivariate distribution-valued data requires both averaging distributions and predicting them from covariates. Positive barycenters and Fréchet regression impose di…
Spectral Representation Learning for Conditional Moment Models
Ziyu Wang, Yucen Luo, Yueru Li +2
Many problems in causal inference and economics can be formulated in the framework of conditional moment models, which characterize the target function through a collection of cond…
Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis
Tim Pearce, Jong-Hyeon Jeong, Yichen Jia +1
This paper considers doing quantile regression on censored data using neural networks (NNs). This adds to the survival analysis toolkit by allowing direct prediction of the target…
Fast Instrument Learning with Faster Rates
Ziyu Wang, Yuhao Zhou, Jun Zhu
We investigate nonlinear instrumental variable (IV) regression given high-dimensional instruments. We propose a simple algorithm which combines kernelized IV methods and an arbitra…