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Journal Articles
- 2024
[j1]Maksim Velikanov, Dmitry Yarotsky:
Tight Convergence Rate Bounds for Optimization Under Power Law Spectral Conditions. J. Mach. Learn. Res. 25: 81:1-81:78 (2024)
Conference and Workshop Papers
- 2024
- [c5]Vincent Plassier, Nikita Kotelevskii, Aleksandr Rubashevskii, Fedor Noskov, Maksim Velikanov, Alexander Fishkov, Samuel Horváth, Martin Takác, Eric Moulines, Maxim Panov:
Efficient Conformal Prediction under Data Heterogeneity. AISTATS 2024: 4879-4887 - [c4]Maksim Velikanov, Maxim Panov, Dmitry Yarotsky:
Generalization error of spectral algorithms. ICLR 2024 - 2023
- [c3]Maksim Velikanov, Denis Kuznedelev, Dmitry Yarotsky:
A view of mini-batch SGD via generating functions: conditions of convergence, phase transitions, benefit from negative momenta. ICLR 2023 - 2022
- [c2]Maksim Velikanov, Roman V. Kail, Ivan Anokhin, Roman Vashurin, Maxim Panov, Alexey Zaytsev, Dmitry Yarotsky:
Embedded Ensembles: infinite width limit and operating regimes. AISTATS 2022: 3138-3163 - 2021
- [c1]Maksim Velikanov, Dmitry Yarotsky:
Explicit loss asymptotics in the gradient descent training of neural networks. NeurIPS 2021: 2570-2582
Informal and Other Publications
- 2024
- [i8]Maksim Velikanov, Maxim Panov, Dmitry Yarotsky:
Generalization error of spectral algorithms. CoRR abs/2403.11696 (2024) - [i7]Quentin Malartic, Nilabhra Roy Chowdhury, Ruxandra Cojocaru, Mugariya Farooq, Giulia Campesan, Yasser Abdelaziz Dahou Djilali, Sanath Narayan, Ankit Singh, Maksim Velikanov, Basma El Amel Boussaha, Mohammed Al-Yafeai, Hamza Alobeidli, Leen Al Qadi, Mohamed El Amine Seddik, Kirill Fedyanin, Réda Alami, Hakim Hacid:
Falcon2-11B Technical Report. CoRR abs/2407.14885 (2024) - 2023
- [i6]Anastasia Antsiferova, Khaled Abud, Aleksandr Gushchin, Sergey Lavrushkin
, Ekaterina Shumitskaya, Maksim Velikanov, Dmitriy S. Vatolin:
Comparing the robustness of modern no-reference image- and video-quality metrics to adversarial attacks. CoRR abs/2310.06958 (2023) - [i5]Vincent Plassier, Nikita Kotelevskii, Aleksandr Rubashevskii, Fedor Noskov, Maksim Velikanov, Alexander Fishkov, Samuel Horváth, Martin Takác, Eric Moulines, Maxim Panov:
Efficient Conformal Prediction under Data Heterogeneity. CoRR abs/2312.15799 (2023) - 2022
- [i4]Maksim Velikanov, Dmitry Yarotsky:
Tight Convergence Rate Bounds for Optimization Under Power Law Spectral Conditions. CoRR abs/2202.00992 (2022) - [i3]Maksim Velikanov, Roman Kail, Ivan Anokhin, Roman Vashurin, Maxim Panov, Alexey Zaytsev, Dmitry Yarotsky:
Embedded Ensembles: Infinite Width Limit and Operating Regimes. CoRR abs/2202.12297 (2022) - [i2]Maksim Velikanov, Denis Kuznedelev, Dmitry Yarotsky:
A view of mini-batch SGD via generating functions: conditions of convergence, phase transitions, benefit from negative momenta. CoRR abs/2206.11124 (2022) - 2021
- [i1]Maksim Velikanov, Dmitry Yarotsky:
Universal scaling laws in the gradient descent training of neural networks. CoRR abs/2105.00507 (2021)
Coauthor Index
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