Playlist: 33 videos

Unifying Theory and Experiment for Large-Scale Networks

Nov. 18 – Nov. 21, 2013

Many of the more interesting massive data problems involve data that are at least partially graphical; these include social networks, hyperlinked text, images, web graphs, protein networks and spatial data. This workshop will...

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0:6:48
Michael Kearns, University of Pennsylvania
Unifying Theory and Experiment for Large-Scale Networks http://simons.berkeley.edu/talks/overview-graph-models
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0:29:40
Patrick Wolfe, University College London
Unifying Theory and Experiment for Large-Scale Networks http://simons.berkeley.edu/talks/patrick-wolfe-2013-11-18
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0:22:53
Sebastiano Vigna, University of Milan
Unifying Theory and Experiment for Large-Scale Networks http://simons.berkeley.edu/talks/sebastiano-vigna-2013-11-18
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0:29:19
Peter Orbanz, Columbia University
Unifying Theory and Experiment for Large-Scale Networks
http://simons.berkeley.edu/talks/peter-orbanz-2013-11-18
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0:30:11
Matt Salganik, Princeton University
Unifying Theory and Experiment for Large-Scale Networks http://simons.berkeley.edu/talks/matt-salganik-2013-11-18
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0:10:3
Jennifer Neville, Purdue University
Unifying Theory and Experiment for Large-Scale Networks http://simons.berkeley.edu/talks/overview-clustering
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0:23:24
Peter Bickel, UC Berkeley
Unifying Theory and Experiment for Large-Scale Networks http://simons.berkeley.edu/talks/peter-bickel-2013-11-18
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0:27:58
Andrea Montanari, Stanford University
Unifying Theory and Experiment for Large-Scale Networks http://simons.berkeley.edu/talks/andrea-montanari-2013-11-18
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0:26:41
Karl Rohe, University of Wisconsin-Madison
Unifying Theory and Experiment for Large-Scale Networks http://simons.berkeley.edu/talks/karl-rohe-2013-11-19
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0:28:14
Vahab Mirrokni, Google
Unifying Theory and Experiment for Large-Scale Networks http://simons.berkeley.edu/talks/vahab-mirrokni-2013-11-18
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