|
Tweet | ||
157 * ! | Mon, 8/10/2015, 10:30 AM - 12:20 PM | CC-607 | |
Big Bayes: Scalable Algorithms and Architectures — Invited Papers | |||
Section on Statistical Learning and Data Mining , Section on Bayesian Statistical Science , ENAR , International Society for Bayesian Analysis (ISBA) , Section on Statistics in Defense and National Security | |||
Organizer(s): Emily Fox, University of Washington | |||
Chair(s): Nicholas Foti, University of Washington | |||
10:35 AM | Scaling and Generalizing Variational Inference — David Blei, Columbia University | ||
11:00 AM | Parallel and Distributed Systems for Large-Scale Machine Learning — Carlos Guestrin, University of Washington | ||
11:25 AM | Covariance Matrices for Mean Field Variational Bayes — Tamara Broderick, MIT ; Ryan Giordano, UC Berkeley | ||
11:50 AM | DeepDive: A Data System for Macroscopic Science — Christopher Re, Stanford University | ||
12:15 PM | Floor Discussion |
For program information, contact the JSM Registration Department or phone (888) 231-3473.
For Professional Development information, contact the Education Department.
The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
2015 JSM Online Program Home
ASA Meetings Department
732 North Washington Street, Alexandria, VA 22314
(703) 684-1221 • meetings@amstat.org
Copyright © American Statistical Association.