Ostroukhov Petr Alexeyevich
Postgraduate MIPT
Education
Moscow Institute of Physics and Technology
Work Experience
2019 — intern in Antiplagiat
2020 — junior research scientist in Antiplagiat
2021-2022 — intern in Sector 7, Institute for Information Transmission Problems of the Russian Academy of Sciences (Kharkevich Institute)
2021-2022 — engineer in Laboratory of Mathematical Methods of Optimization MIPT, Moscow, Russia
2022-2023 — junior research scientist in Laboratory of Mathematical Methods of Optimization MIPT, Moscow, Russia
2022-2023гг. — research assistant in Mohamed bin Zayed University of Artificial Intelligence
Teaching
2020 — teaching assistant for Applied Statistics course
Research Interests
Convex optimization, high-order optimization
Публикации
2024
Dvurechensky, P., Ostroukhov, P., Gasnikov, A., Uribe, C.A., Ivanova, A. Near-optimal tensor methods for minimizing the gradient norm of convex functions and accelerated primal–dual tensor methods (2024) Optimization Methods and Software, 39 (5), pp. 1068-1103. Scopus DOI Q1
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Artem Agafonov, Petr Ostroukhov, Roman Mozhaev, Konstantin Yakovlev, Eduard Gorbunov, Martin Takác, Alexander Gasnikov, Dmitry Kamzolov. Exploring jacobian inexactness in second-order methods for variational inequalities: lower bounds, optimal algorithms and quasi-newton approximations (2024) Advances in Neural Information Processing Systems
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Petr Ostroukhov, Aigerim Zhumabayeva, Chulu Xiang, Alexander Gasnikov, Martin Takáč, Dmitry Kamzolov. AdaBatchGrad: Combining Adaptive Batch Size and Adaptive Step Size (2024)
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2020
Ostroukhov P.A., Kamalov R.A., Dvurechensky P.E., Gasnikov A.V. Tensor methods for strongly convex strongly concave saddle point problems and strongly monotone variational inequalities // Computer Research and Modeling, Vol. 14, No. 2, P. 357 - 376 Scopus WOS DOI Q4
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