Playlist: 25 videos

Spectral Algorithms: From Theory to Practice

Oct. 27 – Oct. 31, 2014

Spectral clustering and graph partitioning algorithms are widely used in a diverse set of areas ranging from load balancing through image processing to computational genomics. This goal of this workshop is to bring together...

0:48:45

Topic Modeling: A Provable Spectral Method

Ravi Kannan, Microsoft Research India
Spectral Algorithms: From Theory to Practice
http://simons.berkeley.edu/talks/ravi-kannan-2014-10-27
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0:50:47

Exact Recovery via Convex Relaxations

Moses Charikar, Princeton University
Spectral Algorithms: From Theory to Practice
http://simons.berkeley.edu/talks/moses-charikar-2014-10-27
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0:38:14

The Impact of Regularization in Spectral Clustering

Bin Yu, UC Berkeley
Spectral Algorithms: From Theory to Practice
http://simons.berkeley.edu/talks/bin-yu-2014-10-27
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0:47:5

Multiscale Analysis on and of Graphs

Mauro Maggioni, Duke University
Spectral Algorithms: From Theory to Practice
http://simons.berkeley.edu/talks/mauro-maggioni-2014-10-27
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0:52:58

Multiresolution Graph Models

Risi Kondor, University of Chicago
Spectral Algorithms: From Theory to Practice
http://simons.berkeley.edu/talks/risi-kondor-2014-10-27
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0:52:22

Independent Component Analysis: From Theory to Practice and Back

Santosh Vempala, Georgia Institute of Technology
Spectral Algorithms: From Theory to Practice
http://simons.berkeley.edu/talks/santosh-vempala-2014-10-28
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0:51:45

Tensor Methods for Learning Latent Variable Models: Theory and Practice

Animashree Anandkumar, UC Irvine
Spectral Algorithms: From Theory to Practice
http://simons.berkeley.edu/talks/animashree-anandkumar-2014-10-28
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0:45:4

Random Walks on Directed Graphs

Fan Chung, UC San Diego
Spectral Algorithms: From Theory to Practice
http://simons.berkeley.edu/talks/fan-chung-2014-10-28
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0:55:46

Random Embeddings, Matrix-valued Kernels and Deep Learning

Vikas Sindhwani, IBM T.J. Watson Research Center
Spectral Algorithms: From Theory to Practice
http://simons.berkeley.edu/talks/vikas-sindhwani-2014-10-28
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0:46:46

A Statistical Model for Tensor Principal Component Analysis

Andrea Montanari, Stanford University
Spectral Algorithms: From Theory to Practice
http://simons.berkeley.edu/talks/andrea-montanari-2014-10-29
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