Winter School-Conference “Approximations, graphs, networks and data mining” (DAA 2024). Sirius Mathematical Center
Organizers:
- Laboratory of Algorithms and Technologies for Network Analysis of National Research University Higher School of Economics (LATNA)
- Keldysh Institute of Applied Mathematics of Russian Academy of Science (IPM)
- Moscow Center for Fundamental and Applied Mathematics
Dates: October 07-11, 2024
Place: Sirius Mathematical Center
Target Groups: The target groups of the school are students and young researchers interested in modern trends in data analytics and in approximation, including big data processing, new machine learning, data mining techniques and rational approximation with orthogonal polynomials. The proposed workshop is devoted to the development of mathematical aspects of data mining methods related with approximation and network (graph based) models. Graph and network models are our days ubiquitous in different fields of science and became more and more popular in approximations, data mining and machine learning. However, it is recognized that there is a lack of mathematical foundations for many approaches and methods of data analytics. Different aspects of network models in approximations, data mining and machine learning will be discussed. The topics of the workshop are rational approximations defined by multi-indices on an integer lattice, multi-level interpolations, reproducing kernels and operator theory on graphs. In addition, it is planned to discuss optimization of computational graph for deep learning, robustness of network models algorithms in machine learning and data mining, network models under uncertainty, multi-level network models and others.
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 and approximation.
The school is a continuation of the successful Winter Schools and Conferences on Data Analytics and Approximation
DA 2016, DA 2017, DA 2018, ADA 2019 School-conference “Approximation and data analysis”, DA 2020, DA 2021, CAOPA 2021, DA 2022, CAOPA 2022 , DAA 2023.
Registration: The school-conference is organized for last-year bachelor, master and PhD students. To attend the school as a participant you must register at the Sirius center web site (registration will be open in May - June 2024). Sirius Mathematical Center provides a support for travel and stay in Sochi for selected registered students. Students are also encouraged to present the recent results of their research related to the topics of the school.
Notification of acceptance : September, 2024.
Program: program.pdf
School co-chairs:
Alexander Aptekarev, Keldysh Institute of Applied Mathematics
Panos Pardalos, University of Florida and Higher School of Economics, Nizhny Novgorod
Organizing Committee:
Alexander V. Dyachenko, Keldysh Institute of Applied Mathematics
Valery Kalyagin, Higher School of Economics, Nizhny Novgorod
Ilya Kostylev, Higher School of Economics, Nizhny Novgorod
Nikita Kuzmin, Higher School of Economics, Nizhny Novgorod
Vladimir Lysov, Keldysh Institute of Applied Mathematics
Timur Medvedev, Higher School of Economics, Nizhny Novgorod
Gleb Neschetkin, Higher School of Economics, Nizhny Novgorod
Contact: vkalyagin@hse.ru
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