2 citations · 3 across the 3 of their papers we have counts for
3 papers
math.OC2025
Sign Operator for Coping with Heavy-Tailed Noise in Non-Convex Optimization: High Probability Bounds Under -Smoothness
Nikita Kornilov, Philip Zmushko, Andrei Semenov +3
In recent years, non-convex optimization problems are more often described by generalized -smoothness assumption rather than standard one. Meanwhile, severely corrupted…
math.OC2021★ 2 cited
Decentralized Distributed Optimization for Saddle Point Problems
Alexander Rogozin, Aleksandr Beznosikov, Darina Dvinskikh +3
We consider distributed convex-concave saddle point problems over arbitrary connected undirected networks and propose a decentralized distributed algorithm for their solution. The…
math.OC2020★ 1 cited
Parallel and Distributed algorithms for ML problems
Darina Dvinskikh, Alexander Gasnikov, Alexander Rogozin +1
In this paper we make a survey of modern parallel and distributed approaches to solve sum-type convex minimization problems come from ML applications.