22 citations · 42 across the 9 of their papers we have counts for
4 papers · 1 filter
Homophily modulates double descent generalization in graph convolution networks
Cheng Shi, Liming Pan, Hong Hu +1
Graph neural networks (GNNs) excel in modeling relational data such as biological, social, and transportation networks, but the underpinnings of their success are not well understo…
Sharp Asymptotics of Kernel Ridge Regression Beyond the Linear Regime
Hong Hu, Yue M. Lu
The generalization performance of kernel ridge regression (KRR) exhibits a multi-phased pattern that crucially depends on the scaling relationship between the sample size and t…
Precise Learning Curves and Higher-Order Scaling Limits for Dot Product Kernel Regression
Lechao Xiao, Hong Hu, Theodor Misiakiewicz +2
As modern machine learning models continue to advance the computational frontier, it has become increasingly important to develop precise estimates for expected performance improve…
A Solvable High-Dimensional Model of GAN
Chuang Wang, Hong Hu, Yue M. Lu
We present a theoretical analysis of the training process for a single-layer GAN fed by high-dimensional input data. The training dynamics of the proposed model at both microscopic…