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

No comments:
Post a Comment