Dear all, Please allow us to send another reminder to apply to the Machine Learning Summer School 2020 (http://mlss.tuebingen.mpg.de/2020/) in Tübingen, Germany. Application deadline is *11 February 2020*. Please see the details below.
Kind regards, The MLSS 2020 Team <http://mlss.tuebingen.mpg.de/2020/organizers.html> On Tue, 7 Jan 2020 at 14:02, Wittawat Jitkrittum <wittaw...@gmail.com> wrote: > 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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