1 citations · 1 across the 4 of their papers we have counts for
4 papers
Structured Nonparametric Variational Inference for Dependent Latent Modeling
Yuda Shao, Zhiling Gu, Shan Yu
Variational inference (VI) is a core engine of modern AI, enabling scalable approximate Bayesian learning and uncertainty-aware training of large probabilistic and generative model…
Nonparametric Density Estimation for Data Scattered on Irregular Spatial Domains: A Likelihood-Based Approach Using Bivariate Penalized Spline Smoothing
Kunal Das, Shan Yu, Guannan Wang +1
Accurately estimating data density is crucial for making informed decisions and modeling in various fields. This paper presents a novel nonparametric density estimation procedure t…
Spatial Heterogeneous Additive Partial Linear Model: A Joint Approach of Bivariate Spline and Forest Lasso
Xin Zhang, Shan Yu, Zhengyuan Zhu +1
Identifying spatial heterogeneous patterns has attracted a surge of research interest in recent years, due to its important applications in various scientific and engineering field…
TSSS: A Novel Triangulated Spherical Spline Smoothing for Surface-based Data
Zhiling Gu, Shan Yu, Guannan Wang +2
Surface-based data is commonly observed in diverse practical applications spanning various fields. In this paper, we introduce a novel nonparametric method to discover the underlyi…