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545 ! Thu, 8/11/2022, 10:30 AM - 12:20 PM CC-154A
Statistical Advances in Learning Large-Scale Networks from Massive Data Sets — Topic Contributed Papers
Section on Statistical Learning and Data Science, Section on Nonparametric Statistics, IMS
Organizer(s): Lili Zheng, Rice University
Chair(s): Genevera Allen, Rice University
10:35 AM Learning Point Process Network Models with Timing Uncertainty
Yao Xie, Georgia Institute of Technology; Xiuyuan Cheng, Duke University; Tingnan Gong, Georgia Institute of Technology
10:55 AM Statistical Inference for Networks of High-Dimensional Point Processes
Mladen Kolar, The University of Chicago ; Xu Wang, University of Washington; Ali Shojaie, University of Washington
11:15 AM Learning Gaussian Graphical Models with Differing Pairwise Sample Sizes
Lili Zheng, Rice University; Genevera Allen, Rice University
11:35 AM Learning Latent Causal Graphs via Mixture Oracles
Pradeep Ravikumar, Carnegie Mellon University
11:55 AM Frequency-Domain Graphical Modeling of Large-Scale Time Series
Sumanta Basu, Cornell University; Navonil Deb, Cornell University
12:15 PM Floor Discussion