posted by user: sdm_publicity || 9192 views || tracked by 10 users: [display]

MLSS 2019 : MACHINE LEARNING SUMMER SCHOOL

FacebookTwitterLinkedInGoogle

Link: http://mlss2019.skoltech.ru
 
When Aug 26, 2019 - Sep 6, 2019
Where Moscow
Submission Deadline May 6, 2019
Notification Due Jun 6, 2019
Categories    machine learning   deep learning   artificial intelligence   reinforcement learning
 

Call For Papers

Dear Colleagues,

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

Related Resources

ICMLA 2024   23rd International Conference on Machine Learning and Applications
IEEE COINS 2024   IEEE COINS 2024 - London, UK - July 29-31 - Hybrid (In-Person & Virtual)
ICDM 2024   IEEE International Conference on Data Mining
ECAI 2024   27th European Conference on Artificial Intelligence
DSIT 2024   2024 7th International Conference on Data Science and Information Technology (DSIT 2024)
ACM-Ei/Scopus-CCISS 2024   2024 International Conference on Computing, Information Science and System (CCISS 2024)
CCBDIOT 2024   2024 3rd International Conference on Computing, Big Data and Internet of Things (CCBDIOT 2024)
JCICE 2024   2024 International Joint Conference on Information and Communication Engineering(JCICE 2024)
EAIH 2024   Explainable AI for Health
CVIV 2024   2024 6th International Conference on Advances in Computer Vision, Image and Virtualization (CVIV 2024) -EI Compendex