17 citations · 52 across the 13 of their papers we have counts for
13 papers
Using Forests in Multivariate Regression Discontinuity Designs
Yiqi Liu, Yuan Qi
We discuss estimation and inference of conditional treatment effects in regression discontinuity (RD) designs with multiple scores. In addition to local linear regressions and the…
Asynchronous Distributed Variational Gaussian Processes for Regression
Hao Peng, Shandian Zhe, Yuan Qi
Gaussian processes (GPs) are powerful non-parametric function estimators. However, their applications are largely limited by the expensive computational cost of the inference proce…
Distributed Flexible Nonlinear Tensor Factorization
Shandian Zhe, Kai Zhang, Pengyuan Wang +4
Tensor factorization is a powerful tool to analyse multi-way data. Compared with traditional multi-linear methods, nonlinear tensor factorization models are capable of capturing mo…
EigenGP: Gaussian Process Models with Adaptive Eigenfunctions
Hao Peng, Yuan Qi
Gaussian processes (GPs) provide a nonparametric representation of functions. However, classical GP inference suffers from high computational cost for big data. In this paper, we p…
DinTucker: Scaling up Gaussian process models on multidimensional arrays with billions of elements
Shandian Zhe, Yuan Qi, Youngja Park +2
Infinite Tucker Decomposition (InfTucker) and random function prior models, as nonparametric Bayesian models on infinite exchangeable arrays, are more powerful models than widely-u…
Supervised Heterogeneous Multiview Learning for Joint Association Study and Disease Diagnosis
Shandian Zhe, Zenglin Xu, Yuan Qi
Given genetic variations and various phenotypical traits, such as Magnetic Resonance Imaging (MRI) features, we consider two important and related tasks in biomedical research: i)t…