Speakers
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Christopher
Bishop (Microsoft Research) spoke on Graphical Models video for part I, part II, and part III slides for Chris' talks |
 | Michael
Black (MPI for Intelligent Systems) spoke on Optical Flow video of Michael's talk. |
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Karsten Borgwardt (MPI for Intelligent Systems) spoke on Computational Biology video and slides for Karsten's talk |
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Léon Bottou (Microsoft Research) spoke on Multilayer Networks video for part I, part II, and part III slides for Léon's talks |
| Peter Dayan (Gatsby Unit) spoke on Cognitive Learning (on request of the speakers, this talk was not recorded) slides for Peter's talks | |
 | Francesco
Dinuzzo (MPI for Intelligent Systems) taught a practical on learning with kernels. (practicals were not recorded) website for this practical. |
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Peter Gehler (MPI for Intelligent Systems) taught a practical on learning with kernels. (practicals were not recorded) website for this practical. |
 | Zoubin
Ghahramani (University of Cambridge) spoke on Bayesian Inference video for part I, part II, and part III slides for first and second/third of Zoubin's talks |
 | Manuel Gomez
Rodriguez (MPI for Intelligent Systems / Stanford) taught a practical on network modeling and information propagation (practicals were not recorded) slides and handout for Manuel's tutorial |
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Dilan Görür
(Yahoo! Research) was scheduled to speak on Personalization at Scale, but was unfortunately unable to attend for administrative reasons. |
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Ralf Herbrich (Amazon) spoke on Distributed Machine Learning at Scale (on request of the speaker, this talk was not recorded) slides for Ralf's talks |
 | Thomas
Hofmann (Google Research) spoke on Structured-Output Prediction video for part I, and part II slides for Thomas' talks. |
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Dominik
Janzing (MPI for Intelligent Systems) spoke on Causality video for part I and part II, and slides for causality talk |
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Andreas Krause (ETH Zürich) will speak on Submodularity (video in preparation) slides for Andreas' talk |
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Tom
Minka (Microsoft Research) taught a practical introduction to graphical models. (practicals were not recorded) |
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Massimiliano
Pontil (UCL) spoke on Transfer and Multitask Learning. (on request of the speaker, this talk was not recorded) slides for Massimiliano's talk |
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Stefan Schaal (MPI for Intelligent Systems) spoke on Learning Robots videos for part I and part II slides part I and part II. |
 | Matthias
Seeger (École Polytechnique Fédérale de Lausanne) spoke on Sparse Models video and slides for Matthias' talk. |
 | Ingo
Steinwart (University of Stuttgart) spoke on Learning Theory video for part I and part II slides for Ingo's talks. |
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YeeWhye Teh (University of Oxford) spoke on Bayesian Nonparametrics video for part I, part II, and part III slides for YeeWhye's talks. |
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Marc
Toussaint (University of Stuttgart) spoke on Bandits, Active Learning, Bayesian RL and Global Optimization video and slides for Marc's talk |
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Stephen Wright (University of Wisconsin-Madison) spoke on Optimization (video in preparation) video for first, second, and third talk. slides for Steve's talks |
 | Yordan
Zaykov (Microsoft Research) taught a practical introduction to graphical models. (practicals were not recorded) |
 | Bernhard
Schölkopf (MPI for Intelligent Systems) spoke on the history of ML, Kernels and Causality video and slides for Bernhard's What is ML talk video and slides for Bernhard's Kernels talk (with kernel quiz) (video in preparation) video for part I and part II, and slides for causality talk |
 | Stefan
Harmeling (MPI for Intelligent Systems) taught a practical on matrix differential calculus . (practicals were not recorded) Handout for Stefan's practical. |
 | Philipp
Hennig (MPI for Intelligent Systems) spoke on Gaussian Processes video for part I, part II, part III slides for part I, part II and part III talk (animations work only in Adobe Reader), and tech report on how to produce the animations in the slides. |