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Activity Details
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347 !
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Thu, 8/12/2021,
10:00 AM -
11:50 AM
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Virtual
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Recent Advances in Clustering and Mixture Models Analysis — Topic-Contributed Papers
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Section for Statistical Programmers and Analysts, IMS, Section on Statistical Learning and Data Science, International Chinese Statistical Association
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Organizer(s): Anderson Ye Zhang, University of Pennsylvania
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Chair(s): Anderson Ye Zhang, University of Pennsylvania
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10:05 AM
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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
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10:25 AM
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Causal Inference for Randomized Experiments in Social Networks
David Choi, Carnegie Mellon University
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10:45 AM
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Learning Mixtures of Permutations: Groups of Pairwise Comparisons and Combinatorial Method of Moments
Cheng Mao, Georgia Institute of Technology; Yihong Wu, Yale
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11:05 AM
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Efficient Clustering for Stretched Mixtures: Landscape and Optimality
Kaizheng Wang, Columbia University; Yuling Yan, Princeton University; Mateo Diaz, Cornell University
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11:25 AM
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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
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11:45 AM
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Floor Discussion
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