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The goal of this workshop is to inform people about open source machine learning systems being developed, aid the coordination of such projects, and discuss future plans.
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8:55am: Introduction slides 1 slides 2 video |
9:00am: Liblinear by CJ Lin slides video (after intro)
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9:25am: Vowpal Wabbit and Learning to Search by John Langford and Hal Daume slides video
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9:50am: Torch by Nicolas Vasilache, Sumit Chopra, and Koray Kavukcuoglu slides video
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10:15am: Break w/ refreshments
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10:45am: Theano and PyLearn by Bart van Merrienboer and Frederic Bastien slides video
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11:10am: Shogun by Heiko Strathmann slides video
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11:35am: Stan by Bob Carpenter slides video
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Noon: Lunch on your own
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1:00pm: Summary: The systems as they exist slides video |
1:20pm: Panel. Moderator Leon Bottou video |
2:00pm: Break w/ refreshments
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2:30pm: Discussion time for individual projects
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4:00pm: Liblinear future plans slides video
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4:10pm: Vowpal Wabbit future plans video
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4:20pm: Torch future plans video
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4:30pm: Theano and PyLearn future plans slides video
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4:40pm: Shogun future plans video
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4:50pm: Stan future plans slides video
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Olivier Grisel visited later and talked about scikit-learn video |
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Alekh Agarwal, Alina Beygelzimer, and John Langford
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