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Rodomanov A., Kropotov D.
SIAM Journal on Optimization. 2020. Vol. 30. No. 3. P. 1878-1904.
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European Journal of Operational Research. 2021. Vol. 290. No. 2. P. 601-621.
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In bk.: Proceedings of Machine Learning Research. Vol. 125: Proceedings of Thirty Third Conference on Learning Theory. 2020. P. 2144-2203.
The Faculty of Computer Science was created with the goal of becoming one of the world’s leading faculties for developers and researchers in data analysis, machine learning, big data, theoretical computer science, bioinformatics, system and software engineering, system programming, and distributed computing. In cooperation with major companies like Yandex, Sberbank, SAS, Samsung, 1C, and many others, the Faculty provides both deep theoretical knowledge and hands-on practical experience in many branches of contemporary computer science.
The Higgs Boson Machine Learning Challenge is held jointly with CERN and is dedicated to the search for the elusive Higgs Boson, using data from the ATLAS collaboration at CERN. The goal is to study potential promising approaches to Machine Learning (ML) to improve the detection significance of the ATLAS experiment.
About 1,800 teams from across the world have taken part in the Higgs Boson Machine Learning Challenge, and the top achievements will be applied in practice at CERN.