Connectionists: Call for participation: Machine Learning Summer School, 28 June - 10 July 2020, Germany

[Wittawat Jitkrittum]

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 <wittawatj at 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-team at 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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