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math.OC2024
Optimal Analysis of Method with Batching for Monotone Stochastic Finite-Sum Variational Inequalities
Alexander Pichugin, Maksim Pechin, Aleksandr Beznosikov +1
Variational inequalities are a universal optimization paradigm that is interesting in itself, but also incorporates classical minimization and saddle point problems. Modern realiti…
math.OC2024★ 3 cited
Optimal Data Splitting in Distributed Optimization for Machine Learning
Daniil Medyakov, Gleb Molodtsov, Aleksandr Beznosikov +1
The distributed optimization problem has become increasingly relevant recently. It has a lot of advantages such as processing a large amount of data in less time compared to non-di…