International Summer/Winter Schools
International Summer School on Deep Learning and Bayesian Methods
In partnership with Samsung AI Center
School participants learn state-of-the-art methods and techniques required for up-to-date research in machine learning. They also have hands-on experience using probabilistic modelling to build neural generative and discriminative models, learn modern stochastic optimization methods and regularization techniques for neural networks, and master the ways to reason about the uncertainty about the weight of the neural networks and their predictions.
Cancelled in 2020 due to the global pandemic. The School will be held for the fourth time in 2021 in Moscow.
Moscow 2017, 2018, 2019
Learn more: https://deepbayes.ru/
International Summer School on Machine Learning in High Energy Physics (online)
In partnership with Yandex School of Data Analysis and EPFL
The School covers the relatively young area of data analysis and computational research that is emerging in High Energy Physics (HEP). School participants receive theoretical and practical introduction to this field. A wide range of topics ranging from decision trees to deep learning and hyperparameter optimisation is covered with concrete examples and hands-on tutorials.
The sixth School will take place in 2020 in Online Fromat.
St. Petersburg 2015 Lund 2016 Reading 2017 Oxford 2018 Hamburg 2019
Learn more: https://indico.cern.ch/event/838377/
International Winter School on Math of Machine Learning
In partnership with Sirius University of Science and Technology
The School covers modern trends in machine learning with a strong emphasis on mathematics behind them. This intense four-day workshop consists of 3 interdisciplinary mini-courses by worldclass scientists, poster sessions by participants and master classes by industrial partners. Key topics of the School are reinforcement learning, deep learning, computation optimal transport, MCMC, and statistical inference.
The first School took place in February 2020 in Sochi, Russia.
Learn more: https://sochy.mml2020.ru/main
International Summer School on Machine Learning in Bioinformatics
In recent years, the importance of big data analysis in biology has become evident. Computational biology is a new and quickly developing field of data science. The demand for tailored knowledge of bioinformatics in medicine, research, and industry is on the rise. Summer School on Machine Learning in Bioinformatics is fit to provide multidisciplinary knowledge in this area. The School will cover such topics as applied bioinformatics, bioinformatics of DNA, RNA and proteins, elementary genomics, modern methods of data analysis, and molecular biology.
The first School will take place in 2020.
Learn more: https://cs.hse.ru/ssml/
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