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Regular version of the site

6th Winter School on Data Analytics (DA 2021)


  1. Laboratory of Algorithms and Technologies for Network Analysis of National Research University Higher School of Economics (LATNA)
  2. Keldysh Institute of Applied Mathematics of Russian Academy of Science (IPM)
  3. Moscow Center for Fundamental and Applied Mathematics

Dates: October 21-22, 2021

Place: Zoom

Target Groups:

The target groups of the school are students and young researchers interested in modern trends in data analytics, including big data processing and new machine learning and data mining techniques. 

Lecturers at the school are internationally recognized experts in the field. Young researchers will have an opportunity to learn and understand a modern theoretical approaches and practical techniques in data analysis.

The school is a continuation of the successful Winter Schools on Data Analytics:

Registration: The school is organized for last-year bachelor, master and PhD students. To attend the school as a participant you must register before October 18, 2021. Students are also encouraged to present the recent results of their research related to the topics of the school.

Notification of acceptance: ad hoc

School Schedule: Every day 4 lectures from 15:00 to 19:00

Program: Winter_School_2021_Program (PDF, 189 Kb) 

School Lecturers:

Roman Belavkin (Middlesex University, UK)
Lecture 1: Value of Information theory
Lecture 2: Applications of VoI to Machine Learning and Neural Networks

Mario Guarracino (University of Cassino and ICAR-CNR, Italy)
Lectures 1: Statistical Learning and Machine Learning: two different twins
Lectures 2: Assessing statistical learning models accuracy

Evgenii Lobzaev (University of Edinburgh, UK)
Primer on Variational Inference and its application to Deep Learning

Cristina Masoller (Universitat Politecnica de Catalunya, Spain)
Lecture 1: Introduction to nonlinear time series analysis and ordinal analysis
Lectures 2: Multivariate time series analysis and applications to climate and biomedical networks

Panos Pardalos (LATNA, HSE and University of Florida)
AI and the 5th Industrial Revolution
(the lecture is given in the framework of International Conference ‘Cultural transfer: formation of creative human capital’ dedicated to 25-th anniversary of HSE NN)

Co-Chairs of the school:

Panos PardalosUniversity of Florida and HSE
Alexander AptekarevKeldysh Institute of Applied Mathematics of the Russian Academy of Science

Program Committee:

Fuad AleskerovNRU HSE
Mikhail BatsynNRU HSE
Fedor FominBergen University, Norway and St Petersburg department of Steklov Mathematical Institute
Valery KalyaginNRU HSE
Yury Kochetov, Russian Academy of Sciences, Novosibirsk
Alexander KoldanovNRU HSE
Valentina KuskovaNRU HSELaboratory of Applied Network Research

Dmitriy MalyshevNRU HSE
Oleg Prokopyev, University of Pittsburgh, USA
Andrey Raigorodskii, Moscow Institute of Physics and Technology, Moscow State University, Yandex 
Nikolay Zolotykh, Lobachevsky State University, Nizhny Novgorod
Andrey SavchenkoNRU HSE

Local Organizing Committee:

Staff of the lab LATNA
Contact: vkalyagin@hse.ru



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