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Activity Details

92 Mon, 7/31/2017, 8:30 AM - 10:20 AM CC-341
Computational Challenges in Statistics — Invited Papers
IMS , Section on Statistical Learning and Data Science
Organizer(s): Sahand Negahban, Yale University
Chair(s): Sahand Negahban, Yale University
8:35 AM Pairwise Comparison Models for High-Dimensional Ranking: Some Statistical and Computational Trade-Offs Sivaraman Balakrishnan, Department of Statistics, CMU ; Nihar B Shah, Univ of California - Berkeley ; Martin J. Wainwright, EECS and Statistics, University of California, Berkeley
9:00 AM On the Kiefer-Wolfowitz MLE for Gaussian Mixtures Adityanand Guntuboyina, UC Berkeley
9:25 AM Modeling Disease Propagation in Networks: Source-Finding and Influence Maximization Po-Ling Loh, UW-Madison
9:50 AM Guaranteed Tensor PCA with Optimality in Statistics and Computation Anru Zhang, University of Wisconsin-Madison ; Dong Xia, University of Wisconsin-Madison
10:15 AM Floor Discussion
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