3 citations · 3 across the 2 of their papers we have counts for
3 papers
math.OC2022
Tensor methods inside mixed oracle for min-min problems
Petr Ostroukhov
In this article we consider min-min type of problems or minimization by two groups of variables. Min-min problems may occur in case if some groups of variables in convex optimizati…
math.OC2020★ 3 cited
Tensor methods for strongly convex strongly concave saddle point problems and strongly monotone variational inequalities
Petr Ostroukhov, Rinat Kamalov, Pavel Dvurechensky +1
In this paper we propose three -th order tensor methods for -strongly-convex-strongly-concave saddle point problems (SPP). The first method is based on the assumption of -…
math.OC2020
Self-Concordant Analysis of Frank-Wolfe Algorithms
Pavel Dvurechensky, Petr Ostroukhov, Kamil Safin +2
Projection-free optimization via different variants of the Frank-Wolfe (FW), a.k.a. Conditional Gradient method has become one of the cornerstones in optimization for machine learn…