2 citations · 5 across the 4 of their papers we have counts for
4 papers
Multivariate two-sample test statistics based on data depth
Yiting Chen, Wei Lin, Xiaoping Shi
Data depth has been applied as a nonparametric measurement for ranking multivariate samples. In this paper, we focus on homogeneity tests to assess whether two multivariate samples…
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…
Nonsparse learning with latent variables
Zemin Zheng, Jinchi Lv, Wei Lin
As a popular tool for producing meaningful and interpretable models, large-scale sparse learning works efficiently when the underlying structures are indeed or close to sparse. How…