A. Lobanov

发表

Gradient-Free Federated Learning Methods with $l_1$ and $l_2$-Randomization for Non-Smooth Convex Stochastic Optimization Problems

Belal A. M. Alashqar, A. Gasnikov, D. Dvinskikh, 2022, 2211.10783.

Stochastic Adversarial Noise in the"Black Box"Optimization Problem

A. Lobanov, 2023, 2304.07861.

Zero-Order Stochastic Conditional Gradient Sliding Method for Non-smooth Convex Optimization

A. Gasnikov, A. Anikin, S. Chukanov, 2023, 2303.02778.

The Outposts of Lancastrian France in Eastern Champagne

A. Lobanov, 2019, Vestnik of Saint Petersburg University. History.

Non-Smooth Setting of Stochastic Decentralized Convex Optimization Problem Over Time-Varying Graphs

A. Gasnikov, D. Kovalev, A. Lobanov, 2023, 2307.00392.

Gradient-Free Federated Learning Methods with $l_1$ and $l_2$-Randomization for Non-Smooth Convex Stochastic Optimization Problems

Belal A. M. Alashqar, A. Gasnikov, D. Dvinskikh, 2022, 2211.10783.

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

A. Gasnikov, A. Lobanov, 2023, 2307.12725.

Highly Smoothness Zero-Order Methods for Solving Optimization Problems under PL Condition

A. Gasnikov, F. Stonyakin, A. Lobanov, 2023, 2305.15828.

Upper bounds on maximum admissible noise in zeroth-order optimisation

A. Gasnikov, D. Pasechnyuk, A. Lobanov, 2023, 2306.16371.

Non-Smooth Setting of Stochastic Decentralized Convex Optimization Problem Over Time-Varying Graphs

A. Gasnikov, D. Kovalev, A. Lobanov, 2023, 2307.00392.

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

A. Gasnikov, A. Lobanov, Nail Bashirov, 2023, 2310.02371.

Gradient-free algorithm for saddle point problems under overparametrization

D. Dvinskikh, A. Lobanov, Ekaterina Statkevich, 2024, Chaos, Solitons & Fractals.