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465 Wed, 8/1/2012, 8:30 AM - 10:20 AM CC-Room 30C
Networks and Sparse Modeling — Contributed Papers
Section on Statistical Learning and Data Mining
Chair(s): Patrick Danaher, University of Washington
8:35 AM Estimating Network Degree Distributions from Sampled Networks: An Inverse Problem Yaonan Zhang, Boston University ; Eric D Kolaczyk, Boston University ; Bruce D. Spencer, Northwestern University
8:50 AM Bootstrap of Count Features in Stochastic Networks Sharmodeep Bhattacharyya, University of California at Berkeley ; Peter Bickel, University of California at Berkeley
9:05 AM Regularized Non-Negative Matrix Factorization for Dynamic and Relational Data Shawn Mankad ; George Michailidis, University of Michigan
9:20 AM Sparse Covariate Dependent Binary Markov Networks Jie Cheng, University of Michigan ; Ji Zhu, University of Michigan ; Liza Levina, University of Michigan
9:35 AM Decomposition of a Sparse Directed Graph Sungmin Kim, The Ohio State University ; Tao Shi, The Ohio State University
9:50 AM Estimating Workplace Contact Networks, Adjusting for Reporting Errors Gail Potter, Fred Hutchinson Cancer Research Center ; Timo Smieszek, Penn State University ; Kerstin Sailer, University College London
10:05 AM Sampling for Conditional Inference on Network Data Jingfei Zhang, University of Illinois at Urbana-Champaign ; Yuguo Chen, University of Illinois at Urbana-Champaign



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