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)

Gradient-free methods for non-smooth convex stochastic optimization with heavy-tailed noise on convex compact. - Nikita Kornilov; Alexander V. Gasnikov; Pavel E. Dvurechensky; Darina Dvinskikh (Comput. Manag. Sci., 2023)

Optimal Flow Matching: Learning Straight Trajectories in Just One Step. - Nikita Kornilov; Petr Mokrov; Alexander V. Gasnikov; Alexander Korotin (NeurIPS, 2024)

Optimal Flow Matching: Learning Straight Trajectories in Just One Step. - Nikita Kornilov; Alexander V. Gasnikov; Alexander Korotin (CoRR, 2024)

Diffusion & Adversarial Schrödinger Bridges via Iterative Proportional Markovian Fitting. - Sergei Kholkin; Grigoriy Ksenofontov; David Li 004; Nikita Kornilov; Nikita Gushchin; Evgeny Burnaev; Alexander Korotin (CoRR, 2024)

Implicitly normalized forecaster with clipping for linear and non-linear heavy-tailed multi-armed bandits. - Yuriy Dorn; Nikita Kornilov; Nikolay Kutuzov; Alexander Nazin; Eduard Gorbunov; Alexander V. Gasnikov (Comput. Manag. Sci., 2024)

Sign Operator for Coping with Heavy-Tailed Noise: High Probability Convergence Bounds with Extensions to Distributed Optimization and Comparison Oracle. - Nikita Kornilov; Philip Zmushko; Andrei Semenov; Alexander V. Gasnikov; Aleksandr Beznosikov (CoRR, 2025)