3 papers
stat.ML2026
Generalization Analysis of Distributed Kernel-based Robust Gradient Descent Algorithms
Jun-Yi Meng, Zheng-Chu Guo, Yuan Mao
In this paper, we investigate the generalization performance of distributed gradient descent algorithms in a reproducing kernel Hilbert space under a robust loss function . By…
stat.ML2022
Online Regularized Learning Algorithm for Functional Data
Yuan Mao, Zheng-Chu Guo
In recent years, functional linear models have attracted growing attention in statistics and machine learning, with the aim of recovering the slope function or its functional predi…
stat.ML2022
Coefficient-based Regularized Distribution Regression
Yuan Mao, Lei Shi, Zheng-Chu Guo
In this paper, we consider the coefficient-based regularized distribution regression which aims to regress from probability measures to real-valued responses over a reproducing ker…