7 citations · 12 across the 5 of their papers we have counts for
5 papers
A Statistical Theory of Regularization-Based Continual Learning
Xuyang Zhao, Huiyuan Wang, Weiran Huang +1
We provide a statistical analysis of regularization-based continual learning on a sequence of linear regression tasks, with emphasis on how different regularization terms affect th…
CARE: Large Precision Matrix Estimation for Compositional Data
Shucong Zhang, Huiyuan Wang, Wei Lin
High-dimensional compositional data are prevalent in many applications. The simplex constraint poses intrinsic challenges to inferring the conditional dependence relationships amon…
Heterogeneous Federated Learning on a Graph
Huiyuan Wang, Xuyang Zhao, Wei Lin
Federated learning, where algorithms are trained across multiple decentralized devices without sharing local data, is increasingly popular in distributed machine learning practice.…
Temporal Point Process Graphical Models
Yalong Lyu, Huiyuan Wang, Wei Lin
Many real-world objects can be modeled as a stream of events on the nodes of a graph. In this paper, we propose a class of graphical event models named temporal point process graph…
Nonasymptotic theory for two-layer neural networks: Beyond the bias-variance trade-off
Huiyuan Wang, Wei Lin
Large neural networks have proved remarkably effective in modern deep learning practice, even in the overparametrized regime where the number of active parameters is large relative…