Aleksandr Beznosikov
Aleksandr Beznosikov
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On biased compression for distributed learning
A Beznosikov, S Horváth, P Richtárik, M Safaryan
arXiv preprint arXiv:2002.12410, 2020
Derivative-free method for composite optimization with applications to decentralized distributed optimization
A Beznosikov, E Gorbunov, A Gasnikov
IFAC-PapersOnLine 53 (2), 4038-4043, 2020
Gradient-Free Methods with Inexact Oracle for Convex-Concave Stochastic Saddle-Point Problem
A Beznosikov, A Sadiev, A Gasnikov
International Conference on Mathematical Optimization Theory and Operations …, 2020
Recent theoretical advances in decentralized distributed convex optimization
E Gorbunov, A Rogozin, A Beznosikov, D Dvinskikh, A Gasnikov
arXiv preprint arXiv:2011.13259, 2020
Decentralized distributed optimization for saddle point problems
A Rogozin, A Beznosikov, D Dvinskikh, D Kovalev, P Dvurechensky, ...
arXiv preprint arXiv:2102.07758, 2021
Zeroth-Order Algorithms for Smooth Saddle-Point Problems
A Sadiev, A Beznosikov, P Dvurechensky, A Gasnikov
arXiv preprint arXiv:2009.09908, 2020
Local SGD for Saddle-Point Problems
A Beznosikov, V Samokhin, A Gasnikov
arXiv preprint arXiv:2010.13112, 2020
Solving smooth min-min and min-max problems by mixed oracle algorithms
E Gladin, A Sadiev, A Gasnikov, P Dvurechensky, A Beznosikov, ...
arXiv preprint arXiv:2103.00434, 2021
Linearly Convergent Gradient-Free Methods for Minimization of Symmetric Parabolic Approximation
A Bazarova, A Beznosikov, A Gasnikov
arXiv preprint arXiv:2009.04906, 2020
One-point gradient-free methods for smooth and non-smooth saddle-point problems
A Beznosikov, V Novitskii, A Gasnikov
International Conference on Mathematical Optimization Theory and Operations …, 2021
Decentralized Local Stochastic Extra-Gradient for Variational Inequalities
A Beznosikov, P Dvurechensky, A Koloskova, V Samokhin, SU Stich, ...
arXiv preprint arXiv:2106.08315, 2021
Decentralized Personalized Federated Min-Max Problems
A Beznosikov, V Sushko, A Sadiev, A Gasnikov
arXiv preprint arXiv:2106.07289, 2021
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