posted by user: sdm_publicity || 10424 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 31, 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

Ei/Scopus-CCNML 2025   2025 5th International Conference on Communications, Networking and Machine Learning (CCNML 2025)
Ei/Scopus-SGGEA 2025   2025 2nd Asia Conference on Smart Grid, Green Energy and Applications (SGGEA 2025)
AAIML 2026   IEEE--2026 International Conference on Advances in Artificial Intelligence and Machine Learning
Ei/Scopus-AI2A 2025   2025 5th International Conference on Artificial Intelligence, Automation and Algorithms (AI2A 2025)
Ei/Scopus-IPCML 2025   2025 International Conference on Image Processing, Communications and Machine Learning (IPCML 2025)
MLMI 2025   2025 The 8th International Conference on Machine Learning and Machine Intelligence (MLMI 2025)
S+SSPR 2026   Joint IAPR International Workshops on Statistical Techniques in Pattern Recognition and Structural and Syntactic Pattern Recognition
IEEE- CCRIS 2025   2025 IEEE 6th International Conference on Control, Robotics and Intelligent System (CCRIS 2025)
EPSEE 2025   2025 4th International Conference on Advanced Electric Power System and Energy Engineering (EPSEE 2025)
ICMLSC 2026   2026 The 10th International Conference on Machine Learning and Soft Computing (ICMLSC 2026)