Author

Maxim Mashtaler

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Preprint Sep 2026

Application of Optimal Inexact Second-Order Acceleration to Distributed Stochastic Optimization under Statistical Similarity

We consider distributed stochastic convex optimization with a fixed budget of $N$ independent samples split among $m$ workers. Sample average approximation reduces the problem to a regularized finite-sum problem whose local Hessians are statistically similar. This allows the Hessian of the local objective at the server...

Yury A. Sokolov, Maxim Mashtaler, A. Gasnikov et al. · 0 citations

Preprint Sep 2026

Smooth or Separable? Sparse Block Acceleration for Entropy-Regularized Linear Programs

We study entropy-regularized linear programs with sparse affine constraints and compare two exact dual representations induced by whether a redundant normalization constraint is retained or eliminated. Eliminating it yields a partially separable sum-exp dual with sparse affine factors but unbounded curvature. Our main...

I. Podlipnova, Maxim Mashtaler, A. Agafonov et al. · 0 citations