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Email: computerscience@hse.ru

 

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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.

IDAO Online Round Results. Next Up, the Final

IDAO Online Round Results. Next Up, the Final

On February 20, the first online stage of the International Data Analysis Olympiad (IDAO) was completed. IDAO was organised by the Faculty of Computer Science of the Higher School of Economics in partnership with Harbour.Space University (Barcelona), Yandex and with the Gold sponsor, Sberbank.

A total of 902 teams registered for the Olympiad that took place earlier this year from January 15 to February 11, with 1533 participants from 55 different countries. Thirty-one of the best teams made it through to compete in the IDAO finals in April, including data analysts from Russia, Belarus, Israel, Peru, India, Brazil, Ukraine and Azerbaijan.

'Three weeks of late nights, early mornings, sleeping with collaborative filtering and waking up with gradient boosting...' — shares Samir Mammadov, a finalist from ADA University, Azerbaijan.

The final of the international Olympiad will be held in Moscow, from April 2-4, at the Yandex office site. For thirty-six hours, the participants will not only train the model but create a full-fledged prototype, which will be tested for both accuracy and performance.

This will be the first International Data Analysis Olympiad in Russia, and the organizers are pleased to see the interest in machine learning from students, company employees and others at the event.

IDAO was created by leading data analysis specialists for their future colleagues. This Olympiad aims to unite analysts, scientists, professionals and junior researchers from all over the world together on one platform.

Within the framework of the Olympiad, there will also be lectures and master-classes from international specialists in Machine Learning and Data Science.

IDAO winners will receive valuable prizes. In addition, the HSE Faculty of Computer Science and Harbor.Space University will provide the best teams with scholarships that fully cover the cost of education on their educational programmes.