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Regular version of the site
Contacts

125319, Moscow,
3 Kochnovsky Proezd (near metro station 'Aeroport'). 

Phone: +7 (495) 772-95-90 *12332

Email: computerscience@hse.ru

 

Administrations

Dean Ivan Arzhantsev

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
Jun 12 – Jun 14
submission: 1 May 2019  
Aug 26 – Aug 30
Registration and Poster Submission deadline — May 1, 2019 
Article
Branching rules related to spherical actions on flag varieties
In press

Roman Avdeev, Petukhov A.

Algebras and Representation Theory. 2019.

Article
Minimax theorems for American options without time-consistency

Belomestny D., Kraetschmer V., Hübner T. et al.

Finance and Stochastics. 2019. Vol. 23. P. 209-238.

Article
Separable discrete functions: Recognition and sufficient conditions

Boros E., Cepek O., Gurvich V.

Discrete Mathematics. 2019. Vol. 342. No. 5. P. 1275-1292.

Article
Cherenkov detectors fast simulation using neural networks

Kazeev N., Derkach D., Ratnikov F. et al.

Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 2019.

Book chapter
Averaging Weights Leads to Wider Optima and Better Generalization

Izmailov P., Garipov T., Подоприхин Д. А. et al.

In bk.: Proceedings of the international conference on Uncertainty in Artificial Intelligence (UAI 2018). 2018. P. 876-885.

News

Two Teams of Top Programmers to Represent HSE at the International Collegiate Programming Contest

HSE student team: Alexander Zimin (Faculty of Mathematics), Timur Iskhakov and Igor Kraskevich (both from the Faculty of Computer Science)
One of the teams successfully qualified for the world finals at the recent Northern Eurasia heat. The other will be attending the finals by special invitation.

HSE and University of London: Joint BA Programme in Applied Data Analysis

HSE and University of London: Joint BA Programme in Applied Data Analysis
In 2018, the Higher School of Economics will launch an English-taught double degree programme in partnership with the University of London in Applied Data Analysis. Graduates will be awarded an undergraduate degree from HSE in Applied Mathematics and Information Science and a Bachelor of Science in Data Science and Business Analytics from the University of London. International applicants are invited to apply online starting November 15, 2017.

International Council Recognizes HSE as Leader in Project 5-100

International Council Recognizes HSE as Leader in Project 5-100
The Higher School of Economics was recognized as a leader among Project 5-100 universities following a recent session held by the Council on Competitiveness Enhancement of Leading Russian Universities among Global Research and Education Centers. The session took place in Yekaterinburg on October 27-28 and was chaired by Olga Golodets, Deputy Prime Minister of Russia.

HSE Launches Two New Specializations in Computer Science on Coursera

HSE Launches Two New Specializations in Computer Science on Coursera
‘Introduction to Discrete Mathematics for Computer Science’ and ‘Advanced Machine Learning’ are English-language specializations, both created with the support of the top Russian IT firm Yandex, while the specialization ‘Introduction to Discrete Mathematics for Computer Science’ was developed with the involvement of the University of California at San Diego.

Golden HSE 2017: New Way to Choose Winners

Golden HSE 2017: New Way to Choose Winners
On October 23, the first round of the annual Golden HSE competition got underway. This prize will be awarded in December for the seventeenth time. See what’s new on the ‘anti-versary’ award, and nominate your candidates.

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.

Faculty of Computer Science Students Take Gold at BPI Challenge 2017

Faculty of Computer Science Students Take Gold at BPI Challenge 2017
Elizaveta Povalyaeva, Artem Fomenko and Ismail Khamitov, fourth-year students of Software Engineering, took first place in the student category at the BPI Challenge 2017, a business process analysis competition. They presented their solution at the 13th International Workshop on Business Process Intelligence 2017 and are the first students from Russia to participate in the event and win, with the highest-ever number of projects participating in the competition.

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.

Research Paper Competition Winners Can Get a Headstart on Their Academic Careers

The application period for HSE’s Student Research Paper Competition has started. The winners will have an opportunity to take part in workshops on academic skills development, while those in state-financed studies will improve their chances of seeing their academic scholarships increased. Also, in addition in HSE students, learners from other academic institutions are eligible for this competition.

Bayesian Methods in Deep Learning Summer School in Moscow

Bayesian Methods in Deep Learning Summer School in Moscow
Bayesian Methods in Deep Learning Summer School was held in Moscow fron 26 to 30 August. During these five days 96 participants from 8 countries listened to lectures about Bayesian methods in deep learning and trained neural networks.