Aleksandr V. Lobanov

According to our database, Aleksandr V. Lobanov authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

The "Black-Box" Optimization Problem: Zero-Order Accelerated Stochastic Method via Kernel Approximation.

Aleksandr V. Lobanov, Nail Bashirov, Alexander V. Gasnikov

J. Optim. Theory Appl., December, 2024

Accelerated zero-order SGD under high-order smoothness and overparameterized regime.

Georgii Bychkov, Darina Dvinskikh, Anastasia Antsiferova, Alexander V. Gasnikov, Aleksandr V. Lobanov

CoRR, 2024

Nesterov's Method of Dichotomy via Order Oracle: The Problem of Optimizing a Two-Variable Function on a Square.

Boris Chervonenkis, Andrei Krasnov, Alexander V. Gasnikov, Aleksandr V. Lobanov

Proceedings of the Optimization and Applications - 15th International Conference, 2024

Acceleration Exists! Optimization Problems When Oracle Can Only Compare Objective Function Values.

Aleksandr V. Lobanov, Alexander V. Gasnikov, Andrey Krasnov

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Gradient-Free Algorithms for Solving Stochastic Saddle Optimization Problems with the Polyak-Łojasiewicz Condition.

S. I. Sadykov, Aleksandr V. Lobanov, Andrei M. Raigorodskii

Program. Comput. Softw., December, 2023

Non-smooth setting of stochastic decentralized convex optimization problem over time-varying Graphs.

Aleksandr V. Lobanov, Andrew Veprikov, Georgiy Konin, Aleksandr Beznosikov, Alexander V. Gasnikov, Dmitry Kovalev

Comput. Manag. Sci., December, 2023

Accelerated Zero-Order SGD Method for Solving the Black Box Optimization Problem Under "Overparametrization" Condition.

Aleksandr V. Lobanov, Alexander V. Gasnikov

Proceedings of the Optimization and Applications - 14th International Conference, 2023

Stochastic Adversarial Noise in the "Black Box" Optimization Problem.

Aleksandr V. Lobanov

Proceedings of the Optimization and Applications - 14th International Conference, 2023

Accelerated Zeroth-order Method for Non-Smooth Stochastic Convex Optimization Problem with Infinite Variance.

Nikita Kornilov, Ohad Shamir, Aleksandr V. Lobanov, Darina Dvinskikh, Alexander V. Gasnikov, Innokentiy Shibaev, Eduard Gorbunov, Samuel Horváth

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

Application of Mini-Batch Metaheuristic Algorithms in Problems of Optimization of Deterministic Systems with Incomplete Information about the State Vector.

Andrei V. Panteleev, Aleksandr V. Lobanov

Algorithms, 2021

2020

Mini-Batch Adaptive Random Search Method for the Parametric Identification of Dynamic Systems.

Andrei V. Panteleev, Aleksandr V. Lobanov

Autom. Remote. Control., 2020