08:00 – 09:00  Registration and reception  
09:00 – 10:15  Prof. Carlos Guestrin, GraphLab Inc. & University of Washington:Large Scale Machine Learning and Graphs Slides (pptx)  
10:15 – 10:45  Prof. Joe Hellerstein – Professor, UC Berkeley and CoFounder/CEO, Trifacta  Productivity for Data Analysts: Visualization, Intelligence and ScaleSlides (pdf)  
10:45 – 11:05  Coffee Break  
11:05 – 11:35  Prof. Mark Oskin, University of Washington Grappa graph engine.  
11:35 – 12:05  Prof. Christopher Re, University of WisconsinMadison The Thorn in the Side of Big Data: too few artists  
12:05 – 12:25  Prof. S V N Vishwanathan, Purdue NOMAD: Nonlocking stOchastic Multimachine algorithm for Asynchronous and Decentralized matrix factorization Slides (pdf)  
12:25 – 12:45  Prof. Michael Mahoney, Stanford Randomized regression in parallel and distributed environments  
12:45 – 14:00  Lunch sponsored by LexisNexis Jonathan Stephenson – LexisNexis  Discovering Structure in Crowd Behaviors  
14:00 – 14:30  Dr. Theodore Willke, Intel LabsI ntel GraphBuilder 2.0  
14:30 – 14:50  Dr. Avery Ching, FacebookGraph Processing at Facebook Scale  
14:50 – 15:10  Prof. Vahab Mirrokni, Google  Largescale Graph Clustering in MapReduce and Beyond  
15:10 – 15:30  Dr. Derek Murray , Microsoft Research Incremental, iterative and interactive data analysis with NaiadSlides (pdf)  
15:45 – 16:05  Dr. Pankaj Gupta, Twitter – WTF: The Who to Follow Service at Twitter  
16:05 – 16:25  Aapo Kyrola, CMU  What can you do with GraphChi – what’s new? Slides (pptx)  
16:25 – 16:45  Dr. Lei Tang – Walmart Labs  Adaptive User Segmentation for Recommendation  
16:45 – 17:05  Molham Aref, LogicBlox  Datalog as a foundation for probabilistic programming  
17:05 – 19:00  Poster & Demo session  Poster & demo session social hour beer & snacks is sponsored by Yelp!Posters:
Demos:

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