3 papers
stat.ML2026
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…
stat.ME2024
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…
stat.ME2024
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…