Publications in Math-Net.Ru
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Comparsion of stochastic approximation and sample average approximation for saddle point problem with bilinear coupling term
Computer Research and Modeling, 15:2 (2023), 381–391
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Gradient-free federated learning methods with $l_1$ and $l_2$-randomization for non-smooth convex stochastic optimization problems
Zh. Vychisl. Mat. Mat. Fiz., 63:9 (2023), 1458–1512
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On the relations of stochastic convex optimization problems with empirical risk minimization problems on p-norm balls
Computer Research and Modeling, 14:2 (2022), 309–319
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Accelerated meta-algorithm for convex optimization problems
Zh. Vychisl. Mat. Mat. Fiz., 61:1 (2021), 20–31
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Accelerated gradient sliding for minimizing a sum of functions
Dokl. RAN. Math. Inf. Proc. Upr., 492 (2020), 85–88
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Accelerated and Unaccelerated Stochastic Gradient Descent in Model Generality
Mat. Zametki, 108:4 (2020), 515–528
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Accelerated methods for saddle-point problem
Zh. Vychisl. Mat. Mat. Fiz., 60:11 (2020), 1843–1866
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