Speakers
 | Rohit Babbar (MPI for Intelligent Systems) co-taught a practical on Kernel Methods . slides for the kernel practical |
 | Michael Black (MPI for Intelligent Systems) spoke on Learning Human Body Shape. video of Michael's talk |
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Olivier Bousquet (Google)spoke on Machine Learning in Industry. |
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Stephen Boyd
(Stanford)
spoke on Optimization.
Slides and iPython Notebooks for Stephen's course. video of Part I and Part II and Part III |
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Tamara Broderick (MIT) spoke on Bayesian Nonparametrics. website for Tamara's tutorials slides for Part I, for Part II, and for Part III video of Part I, Part II and Part III code for all demos. |
 | Rob Fergus (Facebook / NYU) spoke on Neural Networks. slides for Parts I&II, and slides for Part III. |
 | Zoubin
Ghahramani (Cambridge)spoke on
Bayesian Inference
slides Part I, Part II and Part III video of Part I, Part II and Part III |
 | Arthur
Gretton (Gatsby Unit / UCL)spoke on
Kernels
slides for the introduction, for
Part I, for
Part II, and for
Part III video of Part I, Part II and Part III |
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Ralf Herbrich (Amazon)spoke on Machine Learning in Industry. slides for this tutorial |
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Christoph Lampert (IST Austria)spoke on Lifelong Learning. |
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Neil
Lawrence (Sheffield)spoke on
Gaussian Processes.
slides for this tutorial video of Part I and Part II and Part III |
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David Lopez-Paz (MPI for Intelligent Sytems)co-taught a practical on Kernel Methods. slides for the kernel practical |
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Ulrike von Luxburg (University of Hamburg)spoke on Learning Theory. (slides not released publicly) |
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Krikamol Muandet (MPI for Intelligent Systems)co-taught a practical on Kernel Methods. slides for the kernel practical |
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Andreas Müller (NYU)taught a practical on Open Source Machine Learning. Material for Andreas' practical |
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Brooks Paige (Oxford) co-taught a practical on Probabilistic Programming. bitbucket repo for this practical |
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Jonas Peters (ETH Zürich, MPI for Intelligent Systems)spoke on Causality. slides for this tutorial, and a lecture script containing most that was covered on the blackboard. |
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Stefan Schaal (MPI for Intelligent Systems) spoke on Learning Robots. Slides for Part I, and for Part II. |
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Ilya Tolstikhin (MPI for Intelligent Systems) co-taught a practical on Learning Theory. |
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Ruth Urner (MPI for Intelligent Systems) co-taught a practical on Learning Theory. |
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Chris Watkins (Royal Holloway) spoke on Reinforcement Learning. slides for Part 1, slides for Part 2, slides for Part 3a, and slides for Part 3b. |
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Frank Wood (Oxford) taught a practical on Probabilistic Programming. bitbucket repo for this practical |
 | Bernhard Schölkopf (MPI for Intelligent Systems) gave an Introduction to ML and spoke on Causality slides for the causality tutorial, and a lecture script containing most that was covered on the blackboard. |
 | Philipp Hennig (MPI for Intelligent Systems) spoke on Probabilistic Numerical Methods. video of Part I and Part II, slides for Part I and for Part II (embedded animations require Adobe Reader). see here for a technical report on how to produce the Gaussian animations |
 | Michael Hirsch (MPI for Intelligent Systems) spoke on Computational Imaging. |