Dear all, The Machine Learning Summer School (MLSS) 2020 will be held at the Max Planck Institute for Intelligent Systems, Tübingen, Germany between 28 June - 10 July 2020. The MLSS presents topics which are at the core of modern machine learning, from fundamentals to state-of-the-art practice. The speakers are leading experts in their field.
# INVITED SPEAKERS & TOPICS 1. Francis Bach <https://www.di.ens.fr/~fbach/>, INRIA. Optimization 2. Stefan Bauer <https://www.is.mpg.de/~sbauer>, Max Planck Institute for Intelligent Systems. Causal Inference 3. Yoshua Bengio <https://mila.quebec/en/yoshua-bengio/>, University of Montreal (Computer Sc. & Op. Res.), Mila, CIFAR, CRM, IVADO, REPARTI, GRSNC. Deep learning 4. Michael Bronstein <https://www.imperial.ac.uk/people/m.bronstein>, Imperial College London and Twitter. Geometric Deep Learning 5. Nicoló Cesa-Bianchi <http://cesa-bianchi.di.unimi.it/>, University of Milan. Learning Theory 6. Marco Cuturi <https://marcocuturi.net/>, Google Brain and Institut Polytechnique de Paris. Optimal Transport 7. Constantinos Daskalakis <http://people.csail.mit.edu/costis/>, Massachusetts Institute of Technology (MIT). Game Theory in Machine Learning 8. Peter Dayan <https://www.kyb.tuebingen.mpg.de/person/95844/60427>, Max Planck Institute for Biological Cybernetics. Machine learning for Computational Neuroscience 9. Arthur Gretton <http://www.gatsby.ucl.ac.uk/~gretton/>, Gatsby Computational Neuroscience Unit, UCL. Kernel Methods 10. Moritz Hardt <https://www.mrtz.org/>, University of California, Berkeley. Fairness 11. Stefanie Jegelka <https://people.csail.mit.edu/stefje/>, Massachusetts Institute of Technology (MIT). Submodularity 12. Shakir Mohamed <https://shakirm.com/>, DeepMind. Bayesian Inference 13. Doina Precup <https://www.cs.mcgill.ca/~dprecup/>, McGill University and DeepMind. (Deep) Reinforcement Learning 14. Bernhard Schölkopf <https://www.is.mpg.de/~bs>, Max Planck Institute for Intelligent Systems. Causal Inference 15. Yee Whye Teh <https://www.stats.ox.ac.uk/~teh/>, University of Oxford and DeepMind. Meta-Learning 16. Mihaela van der Schaar <http://www.vanderschaar-lab.com/NewWebsite/Professor.html>, University of Cambridge and Alan Turing Institute. Machine Learning for Healthcare The list of invited speakers is still growing, which will be updated on our website <http://mlss.tuebingen.mpg.de/2020/speakers.html>. # APPLICATION & PROGRAM We are inviting applications to participate in the MLSS 2020. The application deadline is 11 February 2020. Details regarding the application process can be found at <https://www.mlrs.ai/participate> http://mlss.tuebingen.mpg.de/2020/participate.html . Everyone is welcome to apply to MLSS 2020 regardless of their origin, nationality, and country of residence. We aim to select 150 strongly motivated participants. Our primary target audience is early-mid stage PhD students with good technical background whose research topics are related to machine learning. All applicants are subject to a selection process. Note that the application portal may close earlier than the deadline if the number of applications exceeds our capacity to review There is no application fee. However, for applicants selected to participate, there is a registration fee (details here <http://mlss.tuebingen.mpg.de/2020/participate.html>). The registration fee will allow us to offer access to all lectures by the invited speakers, lunch, dinner and two coffee breaks everyday, social events (banquet, outdoor activities). A small number of travel awards are available for students who are accepted to attend. # CONTACT: Please do not hesitate to contact us at mlss2020-t...@tuebingen.mpg.de for any questions or suggestions. Kind regards, The MLSS 2020 Team <http://mlss.tuebingen.mpg.de/2020/organizers.html>
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