Yarotsky, Dmitry

12 publications

ICLR 2025 SGD with Memory: Fundamental Properties and Stochastic Acceleration Dmitry Yarotsky, Maksim Velikanov
ICLR 2024 Generalization Error of Spectral Algorithms Maksim Velikanov, Maxim Panov, Dmitry Yarotsky
NeurIPS 2024 Learnability of High-Dimensional Targets by Two-Parameter Models and Gradient Flow 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
NeurIPS 2023 Structure of Universal Formulas 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
ICML 2021 Elementary Superexpressive Activations Dmitry Yarotsky
NeurIPS 2021 Explicit Loss Asymptotics in the Gradient Descent Training of Neural Networks Maksim Velikanov, Dmitry Yarotsky
ICML 2020 Low-Loss Connection of Weight Vectors: Distribution-Based Approaches Ivan Anokhin, Dmitry Yarotsky
NeurIPS 2020 The Phase Diagram of Approximation Rates for Deep Neural Networks Dmitry Yarotsky, Anton Zhevnerchuk
COLT 2018 Optimal Approximation of Continuous Functions by Very Deep ReLU Networks Dmitry Yarotsky