2013 Graphlab Workshop on Large Scale Machine Learning
Monday, July 1, 2013 from 8:00 AM to 7:00 PM (PDT)
San Francisco, CA
The main goal for this year’s workshop is to bring together top researchers from academia, as well as top data scientists from industry with the special focus of large scale machine learning on sparse graphs.
- 8am - 9am: Registration & Contintental Breakfast
- 9am - Presentations begin (See agenda below)
- 5pm - 7pm Networking with hosted bar / appetizers
|08:00 – 09:00||Registration and reception|
|09:00 – 10:00||Prof. Carlos Guestrin, GraphLab Inc. & University of Washington: GraphLab v2.2 and Beyond|
|10:00 – 10:30||Prof. Joe Hellerstein – Professor, UC Berkeley and Co-Founder/CEO, Trifacta - Productivity for Data Analysts: Visualization, Intelligence and Scale|
|10:30 – 11:00||Prof. Mark Oskin, University of Washington, Grappa graph engine.|
|11:00 – 11:20||Coffee Break|
|11:20 – 11:50||Prof. Christopher Re, University of Wisconsin-Madison – TBA|
|11:50 – 12:10||Prof. S V N Vishwanathan, Purdue - NOMAD: Non-locking stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix factorization|
|12:10 – 12:30||Prof. Michael Mahoney, Stanford - Randomized regression in parallel and distributed environments|
|12:30 – 14:00||Lunch break (on your own)|
|14:00 – 14:20||Dr. Theodore Willke, Intel Labs - Intel GraphBuilder 2.0|
|14:20 – 14:40||Dr. Avery Ching, Facebook – Graph Processing at Facebook Scale|
|14:40 – 15:00||Prof. Vahab Mirrokni, Google - Clustering and Connected Components in Mapreduce and Beyond|
|15:00 – 15:20||Dr. Derek Murray , Microsoft Research- Incremental, iterative and interactive data analysis with Naiad|
|15:20 – 15:35||Coffee Break|
|15:35 – 15:55||Dr. Pankaj Gupta, Twitter – WTF: The Who to Follow Service at Twitter|
|15:55 – 16:15||Aapo Kyrola, CMU - What can you do with GraphChi – what’s new?|
|16:15 – 16:35||Dr. Lei Tang – Walmart Labs - Adaptive User Segmentation for Recommendation|
|16:35 – 16:55||Molham Aref, LogicBlox - Datalog as a foundation for probabilistic programming|
|16:55 – 17:15||Dr. Steven Hillion, Alpine Data Labs – General implementation methods for machine-learning algorithms on billions of rows and millions of features|
|17:15 – 19:00||Poster & Demo session||Posters:|
When & Where
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