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347 ! Thu, 8/12/2021, 10:00 AM - 11:50 AM Virtual
Recent Advances in Clustering and Mixture Models Analysis — Topic-Contributed Papers
Section for Statistical Programmers and Analysts, IMS, Section on Statistical Learning and Data Science, International Chinese Statistical Association
Organizer(s): Anderson Ye Zhang, University of Pennsylvania
Chair(s): Anderson Ye Zhang, University of Pennsylvania
10:05 AM Structures of Local Minima in K-Means and the Likelihood of Mixture Models
Yudong Chen, School of ORIE, Cornell University; Xumei Xi, School of ORIE, Cornell University
10:25 AM Causal Inference for Randomized Experiments in Social Networks
David Choi, Carnegie Mellon University
10:45 AM Learning Mixtures of Permutations: Groups of Pairwise Comparisons and Combinatorial Method of Moments
Cheng Mao, Georgia Institute of Technology; Yihong Wu, Yale
11:05 AM Efficient Clustering for Stretched Mixtures: Landscape and Optimality
Kaizheng Wang, Columbia University; Yuling Yan, Princeton University; Mateo Diaz, Cornell University
11:25 AM Sparse Topic Modeling: Computational Efficiency and Near-Optimal Algorithms
Ruijia Wu, Department of Statistics, University of Pennsylvania; Linjun Zhang, Rutgers University; Tony Cai, University of Pennsylvania
11:45 AM Floor Discussion