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Regular version of the site

109028, Moscow,
11, Pokrovsky boulevard

Phone: +7 (495) 531-00-00 *27254

Email: computerscience@hse.ru


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
A randomized coordinate descent method with volume sampling

Rodomanov A., Kropotov D.

SIAM Journal on Optimization. 2020. Vol. 30. No. 3. P. 1878-1904.

ML-assisted versatile approach to Calorimeter R&D

A. Boldyrev, D. Derkach, F. Ratnikov et al.

Journal of Instrumentation. 2020. Vol. 15. P. 1-7.

An accelerated directional derivative method for smooth stochastic convex optimization

Dvurechensky P., Eduard Gorbunov, Gasnikov A.

European Journal of Operational Research. 2021. Vol. 290. No. 2. P. 601-621.

Book chapter
On pattern setups and pattern multistructures

Kuznetsov S., Kaytoue M., Belfodil A.

In bk.: International Journal of General Systems. Iss. 49. 2020. P. 271-285.

Book chapter
Finite Time Analysis of Linear Two-timescale Stochastic Approximation with Markovian Noise

Kaledin M., Moulines E., Naumov A. et al.

In bk.: Proceedings of Machine Learning Research. Vol. 125: Proceedings of Thirty Third Conference on Learning Theory. 2020. P. 2144-2203.

Eight new candidates of computer science in 2020

Eight new candidates of computer science in 2020

We are proud to announce that in 2020 eight candidates of computer science defended their theses at the Faculty. There have been six candidate defences in 2019. Prior to 2018, there were only degrees of candidate and doctor of technical or physical-mathematical sciences in Russia. Degrees in computer science have become possible due to HSE University's ability to grant its own degrees.

Candidates of computer science:

Thesis: Bayesian approach in deep learning: refinement of discriminative and generative models
Academic supervisor: Dmitry Vetrov

Thesis: Development of a method for solving structural optimization problems
Academic supervisor: Alexander Gasnikov

  • Anna Sokolova

Thesis: Neural network model for human recognition by gait indifferent types of video
Academic supervisor: Anton Konushin

Thesis: Machine Learning for particle identification in the LHCb detector
Academic supervisors: Barbara Sciascia, Andrey Ustyuzhanin, Davide Pinci

Thesis: Machine learning methods for data quality monitoring in natural sciences
Academic supervisor: Andrey Ustyuzhanin

Thesis: Methods and tools for enhancing the efficiency of process mining algorithms
Academic supervisor: Irina Lomazova

  • Pavel Sulimov

Thesis: Learning generative probabilistic models for mass spectrometry data identification
Academic supervisor: Attila Kertesz-Farkas

  • Tatyana Malakhova

Thesis: Interestingness measures of closed patterns for data mining and knowledge discovery
Academic supervisor: Sergey Kuznetsov

Congratulations and best wishes to the new candidates!