Recent Theoretical Advances in Non-Convex Optimization. - Marina Danilova; Pavel E. Dvurechensky; Alexander V. Gasnikov; Eduard Gorbunov; Sergey Guminov; Dmitry Kamzolov; Innokentiy Shibaev (CoRR, 2020)

Near-Optimal High Probability Complexity Bounds for Non-Smooth Stochastic Optimization with Heavy-Tailed Noise. - Eduard Gorbunov; Marina Danilova; Innokentiy Shibaev; Pavel E. Dvurechensky; Alexander V. Gasnikov (CoRR, 2021)

Zeroth-order methods for noisy Hölder-gradient functions. - Innokentiy Shibaev; Pavel E. Dvurechensky; Alexander V. Gasnikov (Optim. Lett., 2022)

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 (NeurIPS, 2023)

High-Probability Complexity Bounds for Non-smooth Stochastic Convex Optimization with Heavy-Tailed Noise. - Eduard Gorbunov; Marina Danilova; Innokentiy Shibaev; Pavel E. Dvurechensky; Alexander V. Gasnikov (J. Optim. Theory Appl., 2024)