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tutorial
Geometric Methods and Manifold Learning
as author at Machine Learning Summer School (MLSS), Chicago 2009,
together with:
Partha Niyogi,
40696 views
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lecture
Semi-supervised Learning, Manifold Methods
as author at Machine Learning Summer School (MLSS), Chicago 2005,
16393 views
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lecture
Introduction to Kernel Methods
as author at Machine Learning Summer School (MLSS), Chicago 2005,
14733 views
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invited talk
Graph methods and geometry of data
as author at Workshop on Graph Theory and Machine Learning,
9447 views
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lecture
Data Spectroscopy: Learning Mixture Models using Eigenspaces of Convolution Operators
as author at 25th International Conference on Machine Learning (ICML), Helsinki 2008,
5372 views
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opening
Welcome Speech at the MLSS 2009
as author at Machine Learning Summer School (MLSS), Chicago 2009,
together with:
Steve Smale,
4814 views
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debate
Lunch debate 24.5.2005
as coauthor at Machine Learning Summer School (MLSS), Chicago 2005,
together with:
Robert Schapire (coauthor),
John Langford (coauthor),
Yann LeCun (coauthor),
Yoram Singer (coauthor),
5146 views
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debate
Lunch debate 27.5.2005
as coauthor at Machine Learning Summer School (MLSS), Chicago 2005,
together with:
John Langford (coauthor),
Rich Caruana (coauthor),
Adam Kalai (coauthor),
3660 views
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invited talk
The Hidden Convexity of Spectral Clustering
as author at NIPS Workshops, Lake Tahoe 2013,
1900 views
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Springer,
