JSM 2015 Online Program

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Legend: Washington State Convention Center = CC, Sheraton Seattle = S, Grand Hyatt = GH and The Conference Center = TCC
* = applied session       ! = JSM meeting theme

Activity Details
322 Tue, 8/11/2015, 8:30 AM - 10:20 AM CC-307
Statistical Computing and Scalable Learning — Contributed Papers
Section on Statistical Computing , Section on Statistical Learning and Data Mining
Chair(s): Seyoung Park, University of Michigan
8:35 AM Software for Scalable Ensemble Learning — Erin LeDell
8:50 AM Variants of GA-Ensemble — Dong-Yop Oh, The University of Texas Pan American ; J. Brian Gray, The University of Alabama
9:05 AM On Deconstructing Ensemble Models — William Heavlin, Google
9:20 AM Application of ADMM Method for Large-Scale Statistical Models — Ganesh Subramaniam, AT&T Labs Research ; Ravi Varadhan, The Johns Hopkins University ; Todd Larchuk, AT&T Labs Research ; Huitong Qiu, The Johns Hopkins University
9:35 AM An Efficient GLS Algorithm for Periodic Regression with Autoregressive Errors — Jaechoul Lee, Boise State University ; Anthony Dini, Boise State University ; William Negri, Boise State University
9:50 AM A Study on the Stochastic Approximation Algorithms with Decreasing Gain — Samira Sadeghi
10:05 AM Stochastic Optimization via Forward Slice — Bob Salim ; Lurdes Inoue, University of Washington




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