8:30-8:35am |
Opening remarks |
8:35-9:10am |
Jianqing Fan (Princeton University)
Community network autoregression |
9:10-9:45am |
Tracy Ke (Harvard University)
Counting cycles in networks |
9:45-10:20am |
Peter Song (University of Michigan)
Causal network construction via directed acyclic mixed graphs |
10:20-10:35am |
Break |
10:35-11:10am |
Cun-Hui Zhang (Rutgers University)
Factor models for high-dimensional tensor time series |
11:10-11:45am |
Karl Rohe (University of Wisconsin)
Vintage factor analysis with varimax performs statistical inference |
11:45-12:20pm |
Zongming Ma (University of Pennsylvania)
Global and individualized community detection in inhomogeneous multilayer networks |
12:20-1:20pm |
Break |
1:20-1:55pm |
David Donoho (Stanford University)
Prevalence of neural collapse during the terminal phase of deep learning training |
1:55-2:30pm |
Nynke Niezink (Carnegie Mellon University)
Bringing perspective into dynamic network analysis |
2:30-3:05pm |
Arash Amini (UCLA)
Adjusted chi-square test for degree-corrected block models |
3:05-3:20pm |
Break |
3:20-3:55pm |
Xiaotong Shen (University of Minnesota)
Inference of causal relations with interventions |
3:55-4:30pm |
Yingying Fan (University of Southern California)
Universal rank inference via residual subsampling with application to large networks |
4:30-4:45pm |
Break |
4:45-5:20pm |
Jun Liu (Harvard University)
Data splitting for graphical model selection With FDR control |
5:20-5:55pm |
Annie Qu (University of California Irvine)
Community detection with dependent connectivity |
5:55-6:00pm |
Closing remarks |