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Regular version of the site
Phone: 8 (495) 772-95-90*22913; *11020
Moscow, 3 Kochnovsky Proezd (near metro station 'Aeroport').
Offices: 621, 624
Department Head Vladimir Podolskii
Manager Inessa Aleskerova
The school was created in 2014 simultaneously with the Faculty of Computer Science on the basis of the Joint Department with Yandex, which was part of the faculty. The School of Big Data and Information Retrieval, which is headed by Associate Professor Dmitry Vetrov, Ph.D., will be centred around research groups, leading world-class research in the field of machine learning, distributed computing, scalable algorithms for processing large datasets, computer vision, text processing, information retrieval and graphical models. Department staff members are regularly published at prestigious international IT conferences.
Article
Vetrov D., Kohli P., Osokin A. et al.
Lecture Notes in Computer Science. 2015. Vol. 8932. P. 406-420.
Article
Hansen K. A., Podolskii V. V.
Information and Computation. 2015. Vol. 240. P. 56-73.
Article
In print
Theory of Computing Systems. 2015. Vol. 58. No. 3. P. 482-501.
HSE’s team has won four gold, one silver and one bronze medal at the International Mathematical Competition for University Students (IMС 2016), the most representative mathematics contest for university students. The team included students from the Faculty of Computer Science and the Faculty of Mathematics.
This year, the HSE Faculty of Computer Science is opening an international theoretical computer science laboratory, which will be the new research division of the Big Data and Information Retrieval School. One of the lab’s main objectives is to help bring the Russian school of theoretical computer science to the world stage.
Bruno Bauwens, an expert in Kolmogorov complexity, is a new recruit at the HSE Faculty of Computer Science. He started in September 2015. Bruno received his PhD from Ghent University in Belgium, after which he held postdoctoral fellowships at Porto University (Portugal), as well as at the University of Montpellier and University of Lorraine.
The article ‘Tensorizing Neural Networks’, prepared by the Bayesian Methods Research Group under the supervision of Associate Professor of HSE’s Computer Science Faculty Dmitry Vetrov, has been accepted by the NIPS conference – the largest global forum on cognitive research, artificial intelligence, and machine learning, rated A* by the international CORE ranking. This year it is being held December 7-12 in Montreal. Here Dmitry Vetrov talks about the research he presented and about why delivering reports at conferences is better than getting published in the academic press.
An important step in integrating the university into the global educational, scientific and research space is the expansion of international recruiting. Since its very first year, the Faculty of Computer Science at the Higher School of Economics has had a foreign professor working on staff. In 2015, four internationally recruited experts teach and conduct research in the faculty.
The Twenty-ninth Annual Conference on Neural Information Processing Systems (NIPS) is a single-track machine learning and computational neuroscience conference that includes invited talks, demonstrations and oral and poster presentations of refereed papers. All of the key breakthroughs in machine learning over the last 15 years were first presented at this conference. The conference is assigned to the highest category (A*) in the CORE Conference Ranking.
The reports be Ekateina Lobacheva, doctoral student, and Dmitry Vetrov, Associate Professor of the Department Dmitry Vetrov, Associate Professor at the Big Data and Information Retrieval School were accepted the organisers of the International Conference on Computer Vision, which got the highest rank A* according to the international rating of IT conferences.
