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Sessions Were Renumbered as of May 19.

CC-W = McCormick Place Convention Center, West Building,   CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago,   UC= Conference Chicago at University Center
* = applied session       ! = JSM meeting theme

Activity Details

131 Mon, 8/1/2016, 8:30 AM - 10:20 AM CC-W195
Matrix Decomposition, Factor Models, and Applications to Recommender Systems — Contributed Papers
Section on Statistical Learning and Data Science
Chair(s): Erin M. Schliep, University of Missouri
8:35 AM Orthogonal Symmetric Non-Negative Matrix Factorization Under Stochastic Block Model Subhadeep Paul, University of Illinois at Urbana-Champaign ; Yuguo Chen, University of Illinois at Urbana-Champaign
8:50 AM Sparse Spatial Dynamic Factor Model with Basis Expansion Takamitsu Araki ; Shotaro Akaho, National Institute of Advanced Industrial Science and Technology
9:05 AM A Statistical Algorithm for Phantom Clustering Using PPCA Wei Q. Deng, University of Toronto ; Radu V. Craiu, University of Toronto
9:20 AM Learning Network Dynamics via Regularized Tensor Decomposition Yun-Jhong Wu, University of Michigan ; Elizaveta Levina, University of Michigan ; Ji Zhu, University of Michigan
9:35 AM Incorporating Informative Missingness into a Regression-Based Recommender System Lin Su, North Carolina State University ; Howard Bondell, North Carolina State University
9:50 AM E-Learning Data Analysis for Building a Personalized Recommendation System Shuang Liu ; K.F. LAM, The University of Hong Kong
10:05 AM Tree-Like Structure Classification Based on Distance Matrix LU Decomposition with Application to Galaxy Profile Data Jianan Hui, University of California at Riverside ; Xinping Cui, University of California at Riverside ; James Flegal, University of California at Riverside ; Miguel Aragon-Calvo, University of California at Riverside
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