15 citations · 54 across the 38 of their papers we have counts for
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Adaptive Algorithms for Relatively Lipschitz Continuous Convex Optimization Problems
Fedor Stonyakin, Alexander Titov, Mohammad Alkousa +2
Recently there were proposed some innovative convex optimization concepts, namely, relative smoothness [1] and relative strong convexity [2,3]. These approaches have significantly…
Algorithms for solving variational inequalities and saddle point problems with some generalizations of Lipschitz property for operators
Alexander Titov, Fedor Stonyakin, Mohammad Alkousa +1
The article is devoted to the development of numerical methods for solving saddle point problems and variational inequalities with simplified requirements for the smoothness condit…
Solving smooth min-min and min-max problems by mixed oracle algorithms
Egor Gladin, Abdurakhmon Sadiev, Alexander Gasnikov +3
In this paper, we consider two types of problems that have some similarity in their structure, namely, min-min problems and min-max saddle-point problems. Our approach is based on…
On solving convex min-min problems with smoothness and strong convexity in one variable group and small dimension of the other
Egor Gladin, Mohammad Alkousa, Alexander Gasnikov
This paper is devoted to some approaches for convex min-min problems with smoothness and strong convexity in only one of the two variable groups. It is shown that the proposed appr…