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Regular version of the site
Contacts

109028, Moscow,
11, Pokrovsky boulevard

Phone: +7 (495) 531-00-00 *27254

Email: computerscience@hse.ru

 

Administrations
First Deputy Dean Tamara Voznesenskaya
Deputy Dean for Research and International Relations Sergei Obiedkov
Deputy Dean for Methodical and Educational Work Ilya Samonenko
Deputy Dean for Development, Finance and Administration Irina Plisetskaya
Events
Article
Convergence rates for empirical barycenters in metric spaces: curvature, convexity and extendable geodesics
In press

Ahidar-Coutrix A., Le Gouic T., Paris Q.

Probability Theory and Related Fields. 2020.

Article
Machine Learning on data with sPlot background subtraction

M. Borisyak, N. Kazeev.

Journal of Instrumentation. 2019. Vol. 14. No. 08. P. 1-8.

Book chapter
Subspace Inference for Bayesian Deep Learning

Vetrov D., Izmailov P., Maddox W. J. et al.

In bk.: Proceedings of the 35th Uncertainty in Artificial Intelligence Conference (UAI-2019). 2019. P. 1-11.

Book chapter
The logic of action lattices is undecidable

Kuznetsov S.

In bk.: 34th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS 2019). IEEE, 2019. Ch. 36. P. 1-9.

Research&Expertise – News

A Glimpse of the Future of Augmented Reality

A Glimpse of the Future of Augmented Reality
What do we really know about augmented reality? What is the difference between augmented and mixed realities? How can augmented reality improve our daily lives? Find the answers in the article below and learn more about the most innovative AR-applications developed by FCS students in the Interaction Design course.

HSE Professor to Head Up Machine Learning Research at Samsung Centre for Artificial Intelligence

Dmitry Vetrov, Professor of the HSE Faculty of Computer Science
On May 29, Samsung opened its new Artificial Intelligence Centre in Moscow. Dmitry Vetrov, Professor of the HSE Faculty of Computer Science, will become one of its leaders and oversee research in machine learning.

The Faculty of Computer Science Invites Applications for Tenure-track Positions of Assistant Professor

The   Faculty of Computer Science  of the Higher School of Economics in Moscow, Russia invites applications for full-time, tenure-track positions of Assistant Professor in all areas of computer science including but not limited to programming language theory, software engineering, system programming, algorithms, distributed and parallel computation, bioinformatics, artificial intelligence, and machine learning. Knowledge of Russian is not required, as teaching and research are both conducted in English.

HSE Lends Its Support to the Very First Conference in ‘New Frontiers in High-Dimensional Probability and Statistics’

On February 23 and 24, the Institute for Information Transmission Problems of the Russian Academy of Sciences hosted the first international mini-conference entitled ‘New frontiers in high-dimensional probability and statistics’. The event was attended by Russian and international researchers in the field of statistical methods of analysis of multidimensional data and modern stochastic algorithms. The conference was hosted by HSE, the Institute for Information Transmission Problems of the RAS and Skoltech. Organisers included HSE Faculty of Computer Science staff, Vladimir Spokoiny, Alexey Naumov, Denis Belomestny and Quentin Paris.

Laboratory of Theoretical Computer Science Researchers Get Grant from RFBR and Royal Society

Laboratory of Theoretical Computer Science Researchers Get Grant from RFBR and Royal Society
Researchers from the HSE Laboratory of Theoretical Computer Science have won a competition organized by the Russian Foundation for Basic Research (RFBR) and the Royal Society of London for Improving Natural Knowledge.

Faculty of Computer Science Invites Applications for Assistant Professor Positions

Faculty of Computer Science of the Higher School of Economics in Moscow, Russia invites applications for full-time, tenure-track positions of Assistant Professor in all areas of computer science including but not limited to programming language theory, software engineering, system programming, algorithms, distributed and parallel computation, bioinformatics, artificial intelligence, and machine learning. Knowledge of Russian is not required, as teaching and research are both conducted in English.

Mini-workshop Stochastic Processes and Probabilistic Models in Machine Learning

Mini-workshop Stochastic Processes and Probabilistic Models in Machine Learning
On September 12 and 13, a mini-workshop "Stochastic processes and probabilistic models in machine learning" was held at the faculty. Four invited foreign specialists gave lectures about the application of parametric and nonparametric probabilistic methods in machine learning, and representatives of Russian scientific groups told about particular projects where these approaches are used.

Faculty of Computer Science Staff Attend International Conference on Machine Learning

Faculty of Computer Science Staff Attend International Conference on Machine Learning
On August 6-11 the 34th International Conference on Machine Learning was held in Sydney, Australia. This conference is ranked A* by CORE, and is one of two leading conferences in the field of machine learning. It has been held annually since 2000, and this year, more than 1,000 participants from different countries took part.

The 6th International Conference on Analysis of Images, Social Networks and Texts Held in Moscow

The 6th International Conference on Analysis of Images, Social Networks and Texts was held on July 27-29 in Moscow with the support of the Higher School of Economics. This year 130 papers from different universities, including many international ones, were submitted for the conference. The best works were selected by renowned experts in data analysis from all over the world; these papers will be included in the conference proceedings and published in the series ‘Lecture Notes in Computer Science’ issued by Springer.

HSE Researchers Receive a Grant to Search for New Physics

HSE Researchers Receive a Grant to Search for New Physics
A team of researchers from the HSE Laboratory of Methods for Big Data Analysis (LAMBDA) has won a contest held by the Presidential Research Funding Programme. Researchers with the laboratory are developing a system of algorithms that will help physicists look for new particles in the Large Hadron Collider.