Speakers
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Shai Ben-David (Waterloo) will speak on Learning Theory. Slides part 1 part 2 part 3 |
 | Michael Black (MPI for Intelligent Systems) will speak on Learning digital humans by capturing real ones. |
 | Olivier Bousquet (Google Brain) will speak on Machine Learning in Industry and teach a tutorial on Tensorflow. |
 | Sylvain Gelly (Google Brain) will teach a tutorial on Tensorflow. |
 | Zoubin Ghahramani (Cambridge)will speak on Bayesian Inference Slides part 1 part 2 part 3 |
 | Manuel Gomez Rodriguez (MPI for Software Systems)will teach a tutorial on Social Network Analysis |
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Dominik Janzing (MPI for Intelligent Systems) will speak on Causality. Slides here. |
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Stefanie Jegelka (MIT) will speak on Submodularity. Slides here. |
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Michael Jordan (Berkeley) will speak on Optimization: Distributed, Asynchronous, Accelerated and Non-Convex. |
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Ralf Herbrich (Amazon) will speak on Machine Learning in Industry. Slides here. |
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Jure Lescovec (Stanford) will speak on Network Analysis. Slides 1 2 3 4 |
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David Lopez-Paz (Facebook AI Research)will teach a practical on Causality. |
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Volodymyr Mnih (Deepmind) will speak on Deep Reinforcement Learning. |
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Jan Peters (Darmstadt) will speak on Reinforcement Learning in 90 min: A Modern Perspective. |
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Ruslan Salakhutdinov (CMU) will speak on Deep Learning. Slides part 1 part 2 |
 | Stefan Schaal (MPI for Intelligent Systems) will speak on Robot Learning. |
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Suvrit Sra (MIT) will speak on Optimization. Slides 1 2 3A 3B |
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Bharath Sriperumbudur (PennState) will speak on Kernel Methods. Slides part 1 part 2 part 3 |
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Utkarsh Upadhyay (MPI for Software Systems)will teach a tutorial on Social Network Analysis |
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Isabel Valera (Cambridge)will teach a tutorial on Social Network Analysis |
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Max Welling (Amsterdam)will speak on Large Scale Bayesian Inference with an Application to Bayesian Deep Learning Slides here. |
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Ilya Tolstikhin (MPI for Intelligent Systems) will teach a tutorial on Learning Theory and speak on Implicit generative models: dual vs. primal approaches. Slides here. |
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Ruth Urner (MPI for Intelligent Systems) will teach a tutorial on Learning Theory. |
 | Bernhard Schölkopf (MPI for Intelligent Systems) will give an Introduction to ML and speak on Causality. Slides here. |