Name
Owner
File size
Iain Murray Monte Carlo Inference Methods.pdf
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Jan 17, 2019
1.9 MB
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Arthur Gretton - Kernel Methods Part 1.pdf
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Jan 9, 2019
13 MB
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Arthur Gretton - Kernel Methods Part 2.pdf
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Jan 9, 2019
4.9 MB
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Arthur Gretton Kernel Methods for Hypothesis Testing and Sample Generation Part. 2.pdf
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Jan 17, 2019
4.9 MB
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Benjamin Rosman - Reinforcement Learning.pdf
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Jan 18, 2019
17.2 MB
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Bernhard Schölkopf Causality.pdf
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Jan 17, 2019
15.2 MB
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Bettina Berendt What’s the hype about ethical AI?.pdf
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Jan 21, 2019
2.2 MB
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David M. Blei - Variational Inference_Foundations and Innovations.pdf
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Jan 9, 2019
53 MB
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David M. Blei VARIATIONAL INFERENCE: FOUNDATIONS AND INNOVATIONS .pdf
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Jan 17, 2019
53 MB
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Ferenc Huszar Causal Inference in Everyday Machine Learning Update.pdf
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Jan 17, 2019
4.3 MB
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Ferenc Huszar Causal Inference in Everyday Machine Learning.pdf
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Jan 17, 2019
2.7 MB
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How to write a great research paper (MLSS).pdf
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Jan 16, 2019
2.5 MB
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Iain Murray Probabilistic modeling and inference meets Deep Learning Part 2.pdf
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Jan 17, 2019
1.7 MB
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Johan Reynders SAP in Africa.pdf
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Jan 18, 2019
7.3 MB
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John Skilling BIG SPACES
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Jan 17, 2019
7 MB
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Marco Cuturi - A Primer on Optimal Transport.pdf
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Jan 9, 2019
57.9 MB
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Marco Cuturi A Primer on Optimal Transport.pdf
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Jan 17, 2019
57.9 MB
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Marco Cuturi A Primer on Optimal Transport.pdf
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Jan 17, 2019
57.5 MB
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mlochner_astronomy.pdf
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Jan 21, 2019
10.3 MB
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MLSS Presentation.pdf
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Jan 21, 2019
1.5 MB
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Niko Brümmer Automatic Differentiation for Machine Learning.pdf
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Jan 17, 2019
371 KB
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Shakir Mohamed - Planting the Seeds of Probabilistic Thinking.pdf
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Jan 9, 2019
44.7 MB
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Sharon Goldwater Do we still need NLP, or is machine learning enough? .pdf
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Jan 17, 2019
807 KB
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Sharon Goldwater Towards more universal language technology unsupervised learning from speech.pdf
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Jan 17, 2019
2.7 MB
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