Slides: Machine Learning Summer School @ Max Planck Institute for Intelligent Systems, Tübingen, Germany

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.

h/t Russ



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