Velikanov, Maksim

7 publications

ICLR 2025 SGD with Memory: Fundamental Properties and Stochastic Acceleration Dmitry Yarotsky, Maksim Velikanov

AISTATS 2024 Efficient Conformal Prediction Under Data Heterogeneity Vincent Plassier, Nikita Kotelevskii, Aleksandr Rubashevskii, Fedor Noskov, Maksim Velikanov, Alexander Fishkov, Samuel Horvath, Martin Takac, Eric Moulines, Maxim Panov

ICLR 2024 Generalization Error of Spectral Algorithms Maksim Velikanov, Maxim Panov, Dmitry Yarotsky

JMLR 2024 Tight Convergence Rate Bounds for Optimization Under Power Law Spectral Conditions Maksim Velikanov, Dmitry Yarotsky

ICLR 2023 A View of Mini-Batch SGD via Generating Functions: Conditions of Convergence, Phase Transitions, Benefit from Negative Momenta. Maksim Velikanov, Denis Kuznedelev, Dmitry Yarotsky

AISTATS 2022 Embedded Ensembles: Infinite Width Limit and Operating Regimes Maksim Velikanov, Roman V. Kail, Ivan Anokhin, Roman Vashurin, Maxim Panov, Alexey Zaytsev, Dmitry Yarotsky

NeurIPS 2021 Explicit Loss Asymptotics in the Gradient Descent Training of Neural Networks Maksim Velikanov, Dmitry Yarotsky