MACHINE LEARNING SUMMER SCHOOL
MLSS 2019
- URL: http://mlss2019.skoltech.ru
- Event Date: 2019-08-26 ~ 2019-09-06
- Submission Date: 2019-05-06
- Location: Moscow, Russian Federation
Dear Colleagues,
we are happy to announce the upcoming
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MACHINE LEARNING SUMMER SCHOOL
at the Skolkovo Institute of Science and Technology in Moscow, Russia from the 26th of August to the 6th of September 2019 http://mlss2019.skoltech.ru
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Overview
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The machine learning summer school provides PhD students, faculty, industry professionals and selected Master's students with an intense learning experience on the theory and applications of modern machine learning. Over the course of two weeks, a group of internationally renowned experts will offer lectures and tutorials covering the state of the art in the field.
Confirmed Speakers
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* Arthur Gretton (University College London) - Kernels
* Isabel Valera (Max Planck Institute for Intelligent Systems) - Fairness & Interpretability
* Joris Mooij (University of Amsterdam) - Causality
* Justin Solomon (MIT) - 3D Deep Learning
* Marco Cuturi (CREST-ENSAE) - Optimal Transport
* Mark Girolami (Imperial College London) - Bayesian Optimization / Probabilistic Numerics
* Michael Bronstein (Imperial College London) - Graph neural network
* Michel Besserve (Max Planck Institute for Intelligent Systems) - ML in Neuroscience
* Nicolò Cesa-Bianchi (Università degli Studi di Milano) - Online Learning
* Shimon Whiteson (University of Oxford) - Reinforcement Learning
* Ulrich Bauer (TU Munich) - Topological Data Analysis
* Yarin Gal (University of Oxford) - Bayesian Deep Learning
Application process
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Applications from graduate students, faculty and members of industry in quantitative fields are welcome. This includes researchers in applied fields as well as students of machine learning itself. Partial and full scholarships will be offered to strong candidates. Applicants are asked to submit a CV (max 2 pages), a cover letter (max 500 words), up to two letters of recommendations (max 500 words). We are also seeking to give participants a chance to discuss their own work. Hence, each applicant is highly encouraged to provide the title and abstract of a poster they would like to present at the school.
The application system is open now.
For more information visit
http://mlss2019.skoltech.ru
Important Dates
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* Mon, 4 March 2019: Application system opens.
* Fri, 6 May 2019 23:59 Pacific Time: Deadline for applications.
* Fri, 12 May 2019 23:59 Pacific Time: Deadline for submission of reference letters.
* Mon, 6 June 2019: Notification of acceptance.
* Fri, 17 June 2019: Registration fees due.
* Mon, 26 August to Fri, 6 September 2019: MLSS takes place.
Organizers
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Fernando Perez Cruz, Evgeny Burnaev, Rodrigo Rivera Castro
Inquiries should be directed to adase(at)skoltech.ru
we are happy to announce the upcoming
--------------------------------------------------------------------------
MACHINE LEARNING SUMMER SCHOOL
at the Skolkovo Institute of Science and Technology in Moscow, Russia from the 26th of August to the 6th of September 2019 http://mlss2019.skoltech.ru
--------------------------------------------------------------------------
Overview
--------------------------------------------------------------------------
The machine learning summer school provides PhD students, faculty, industry professionals and selected Master's students with an intense learning experience on the theory and applications of modern machine learning. Over the course of two weeks, a group of internationally renowned experts will offer lectures and tutorials covering the state of the art in the field.
Confirmed Speakers
--------------------------------------------------------------------------
* Arthur Gretton (University College London) - Kernels
* Isabel Valera (Max Planck Institute for Intelligent Systems) - Fairness & Interpretability
* Joris Mooij (University of Amsterdam) - Causality
* Justin Solomon (MIT) - 3D Deep Learning
* Marco Cuturi (CREST-ENSAE) - Optimal Transport
* Mark Girolami (Imperial College London) - Bayesian Optimization / Probabilistic Numerics
* Michael Bronstein (Imperial College London) - Graph neural network
* Michel Besserve (Max Planck Institute for Intelligent Systems) - ML in Neuroscience
* Nicolò Cesa-Bianchi (Università degli Studi di Milano) - Online Learning
* Shimon Whiteson (University of Oxford) - Reinforcement Learning
* Ulrich Bauer (TU Munich) - Topological Data Analysis
* Yarin Gal (University of Oxford) - Bayesian Deep Learning
Application process
--------------------------------------------------------------------------
Applications from graduate students, faculty and members of industry in quantitative fields are welcome. This includes researchers in applied fields as well as students of machine learning itself. Partial and full scholarships will be offered to strong candidates. Applicants are asked to submit a CV (max 2 pages), a cover letter (max 500 words), up to two letters of recommendations (max 500 words). We are also seeking to give participants a chance to discuss their own work. Hence, each applicant is highly encouraged to provide the title and abstract of a poster they would like to present at the school.
The application system is open now.
For more information visit
http://mlss2019.skoltech.ru
Important Dates
--------------------------------------------------------------------------
* Mon, 4 March 2019: Application system opens.
* Fri, 6 May 2019 23:59 Pacific Time: Deadline for applications.
* Fri, 12 May 2019 23:59 Pacific Time: Deadline for submission of reference letters.
* Mon, 6 June 2019: Notification of acceptance.
* Fri, 17 June 2019: Registration fees due.
* Mon, 26 August to Fri, 6 September 2019: MLSS takes place.
Organizers
--------------------------------------------------------------------------
Fernando Perez Cruz, Evgeny Burnaev, Rodrigo Rivera Castro
Inquiries should be directed to adase(at)skoltech.ru
Journal Promotion
|
| Acta Koreana (Acta Koreana) |
|
| Acta Via Serica (AVS) |
|
| Computers and Concrete (CAC) |
|
| Journal of Information Processing Systems (JIPS) |
|
| Journal of Internet Computing and Services (KSII - JICS) |
|
| Journal of Smart Tourism (Smart Tourism) |
|
| Membrane and Water Treatment (MWT) |
|
| Wind and Structures, An International Journal (Wind and Structures) |
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