Lobanov Aleksandr Vladimirovich

Publications in Math-Net.Ru

1. Survey of modern smooth optimization algorithms with comparison oracle
   
   Dokl. RAN. Math. Inf. Proc. Upr., 526 (2025),  16–23
2. Asymptotic Analysis of the Ruppert – Polyak Averaging for Stochastic Order Oracle
   
   Rus. J. Nonlin. Dyn., 20:5 (2024),  961–978
3. On Quasi-Convex Smooth Optimization Problems by a Comparison Oracle
   
   Rus. J. Nonlin. Dyn., 20:5 (2024),  813–825
4. Accelerated Zero-Order SGD under High-Order Smoothness and Overparameterized Regime
   
   Rus. J. Nonlin. Dyn., 20:5 (2024),  759–788
5. Improved maximum noise level estimation in black-box optimization problems
   
   Zap. Nauchn. Sem. POMI, 540 (2024),  132–147
6. Highly smooth zeroth-order methods for solving optimization problems under the PL condition
   
   Zh. Vychisl. Mat. Mat. Fiz., 64:4 (2024),  739–770
7. On some works of Boris Teodorovich Polyak on the convergence of gradient methods and their development
   
   Zh. Vychisl. Mat. Mat. Fiz., 64:4 (2024),  587–626
8. Distributed min-max optimization using the smoothing technique
   
   Computer Research and Modeling, 15:2 (2023),  469–480
9. Influence of the mantissa finiteness on the accuracy of gradient-free optimization methods
   
   Computer Research and Modeling, 15:2 (2023),  259–280
10. 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
11. Mini-batch adaptive random search method for the parametric identification of dynamic systems
    
    Avtomat. i Telemekh., 2020, no. 11,  112–135