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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

 

Administration
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
Article
A randomized coordinate descent method with volume sampling

Rodomanov A., Kropotov D.

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

Article
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.

Article
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.

Faculty Holds ML Bootcamp

Faculty Holds ML Bootcamp

On December 4-5, the Faculty of Computer Science hosted a Machine Learning Bootcamp to prepare the participants for ML competitions, including the IDAO 2022 International Data Analytics Olympiad.

ML Bootcamp lasted for two days, during which participants improved their knowledge in machine learning, gained practical skills and learned about basic deep learning tools. The event was aimed at undergraduate and graduate students starting their journey in machine learning. Participation was free of charge. Students from more than 70 countries participated in the Bootcamp, we received a total of 623 registrations. Most participants were from Russia, Bangladesh, India, Egypt, Indonesia, Nigeria, Pakistan and the USA.

The Bootcamp covered topics from machine learning algorithms and their non-classical applications to deep learning. 

The event also included a machine learning competition on the Kaggle platform. The task was devoted to predicting insomnia based on vitals such as health and lifestyle data. The winners were the following teams and participants:

1. Evgeny Skripichnikov (Belarus) 

2. Salil Gautam (India)

3. MSU&HSE (Russia)

Videos of the ML Bootcamp:

Translated with www.DeepL.com/Translator (free version)

ML Bootcamp Day 1

ML Bootcamp Day 2

Register to participate in IDAO 2022 International Data Analytics Olympiad until February 13, 2022.