Here are the slides of some of the presentations at the Machine Learning Summer School at the Max Planck Institute for Intelligent Systems, Tübingen, Germany

Shai Ben-David (Waterloo) Learning Theory.Slides part 1 part 2 part 3 | |

Dominik Janzing (MPI for Intelligent Systems) Causality.Slides here. | |

Stefanie Jegelka (MIT) Submodularity.Slides here. | |

Jure Lescovec (Stanford) Network Analysis.Slides 1 2 3 4 | |

Ruslan Salakhutdinov (CMU) Deep Learning.Slides part 1 part 2 | |

Suvrit Sra (MIT) Optimization.Slides 1 2 3A 3B | |

Bharath Sriperumbudur (PennState) Kernel Methods.Slides part 1 part 2 part 3 | |

Max Welling (Amsterdam) Large Scale Bayesian Inference with an Application to Bayesian Deep LearningSlides here. | |

Bernhard Schölkopf (MPI for Intelligent Systems) Introduction to ML and speak on Causality.Slides here. |

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