A Unified Analysis of Multi-task Functional Linear Regression Models with Manifold Constraint and Composite Quadratic Penalty

no code implementations • 9 Nov 2022 • Shiyuan He, Hanxuan Ye, Kejun He

Many multi-task learning approaches can be treated as special cases of this proposed model, such as a reduced-rank model and a graph Laplacian regularized model.

Multi-Task Learning regression

A novel stellar spectrum denoising method based on deep Bayesian modeling

no code implementations • 4 Mar 2021 • Xin Kang, Shiyuan He, Yanxia Zhang

This work proposes a novel stellar spectrum denoising method based on deep Bayesian modeling.

Denoising Imputation Instrumentation and Methods for Astrophysics