Aleksandr Beznosikov
- Research Assistant:Faculty of Computer Science / Big Data and Information Retrieval School / Yandex Laboratory
- Aleksandr Beznosikov has been at HSE University since 2021.
Responsibilities
Carrying out the entire cycle of research on promising machine learning methods within the laboratory.
Education and Degrees
- 2023
Candidate of Sciences* (PhD)
Moscow Institute of Physics and Technology (National Research University) - 2022
Master's
Moscow Institute of Physics and Technology (National Research University) - 2020
Bachelor's in Applied Mathematics and Physics
Moscow Institute of Physics and Technology (National Research University)
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.
Publications10
- Article Rogozin A., Beznosikov A., Dvinskikh D., Kovalev D., Dvurechensky P., Gasnikov A. Decentralized saddle point problems via non-Euclidean mirror prox // Optimization Methods and Software. 2023. P. 1-26. doi
- Chapter Beznosikov A., Samsonov S., Sheshukova M., Gasnikov A., Naumov A., Moulines E. First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities, in: Advances in Neural Information Processing Systems 36 (NeurIPS 2023). Curran Associates, Inc., 2023. P. 44820-44835.
- Article Sadiev A., Borodich E., Beznosikov A., Dvinskikh D., Chezhegov S., Tappenden R., Takáč M., Alexander Gasnikov. Decentralized personalized federated learning: Lower bounds and optimal algorithm for all personalization modes // EURO Journal on Computational Optimization. 2022. Vol. 10. Article 100041. doi
- Chapter Beznosikov A., Richtarik P., Diskin M., Ryabinin M., Alexander Gasnikov. Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees, in: Thirty-Sixth Conference on Neural Information Processing Systems : NeurIPS 2022. Curran Associates, Inc., 2022. P. 14013-14029.
- Chapter Gorbunov E., Rogozin A., Beznosikov A., Dvinskikh D., Gasnikov A. Recent Theoretical Advances in Decentralized Distributed Convex Optimization, in: High-Dimensional Optimization and Probability: With a View Towards Data Science. Springer, 2022. Ch. 191. P. 253-325. doi
- Article Beznosikov A., Gorbunov E., Gasnikov A. Derivative-Free Method For Composite Optimization With Applications To Decentralized Distributed Optimization // IFAC-PapersOnLine. 2021. Vol. 53. No. 2. P. 4038-4043. doi
- Chapter Beznosikov A., Novitskii V., Gasnikov A. One-Point Gradient-Free Methods for Smooth and Non-smooth Saddle-Point Problems, in: Mathematical Optimization Theory and Operations Research: 20th International Conference, MOTOR 2021, Irkutsk, Russia, July 5–10, 2021, Proceedings / Ed. by P. M. Pardalos, M. Y. Khachay, A. Kazakov. Cham : Springer, 2021. doi Ch. 261179. P. 144-158. doi
- Article Gladin E., Sadiev A., Gasnikov A., Dvurechensky P., Beznosikov A., Alkousa M. Solving Smooth Min-Min and Min-Max Problems by Mixed Oracle Algorithms // Communications in Computer and Information Science. 2021. Vol. 1476. P. 19-40. doi
- Article Sadiev A., Beznosikov A., Dvurechensky P., Gasnikov A. Zeroth-Order Algorithms for Smooth Saddle-Point Problems // Communications in Computer and Information Science. 2021. Vol. 1476. P. 71-85. doi
- Article Beznosikov A., Sadiev A., Gasnikov A. Gradient-Free Methods with Inexact Oracle for Convex-Concave Stochastic Saddle-Point Problem // Communications in Computer and Information Science. 2020. Vol. 1275. P. 105-119. doi
‘Every Article on NeurIPS Is Considered a Significant Result’
Staff members of the HSE Faculty of Computer Science will present 12 of their works at the 37th Conference and Workshop on Neural Information Processing Systems (NeurIPS), one of the most significant events in the field of artificial intelligence and machine learning. This year it will be held on December 10–16 in New Orleans (USA).
Faculty Submits Ten Papers to NeurIPS 2021
35th Conference on Neural Information Processing Systems (NeurIPS 2021) is one of the world's largest conferences on machine learning and neural networks. It takes place on December 6-14, 2021.