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ORCIDGleb Molodtsov
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2020 – today
- 2025
[c1]Gleb Molodtsov, Valery Parfenov, Egor Petrov, Grigoriy Evseev, Daniil Medyakov, Aleksandr Beznosikov:
When Extragradient Meets PAGE: Bridging Two Giants to Boost Variational Inequalities. UAI 2025: 3093-3122- [i7]Daniil Medyakov, Gleb Molodtsov, Saveliy Chezhegov, Alexey Rebrikov, Aleksandr Beznosikov:
Variance Reduction Methods Do Not Need to Compute Full Gradients: Improved Efficiency through Shuffling. CoRR abs/2502.14648 (2025) - [i6]Gleb Molodtsov, Daniil Medyakov, Sergey Skorik, Nikolas Khachaturov, Shahane Tigranyan, Vladimir Aletov, Aram Avetisyan, Martin Takác, Aleksandr Beznosikov:
Trial and Trust: Addressing Byzantine Attacks with Comprehensive Defense Strategy. CoRR abs/2505.07614 (2025) - [i5]Daniil Medyakov, Sergey Stanko, Gleb Molodtsov, Philip Zmushko, Grigoriy Evseev, Egor Petrov, Aleksandr Beznosikov:
Sign-SGD is the Golden Gate between Multi-Node to Single-Node Learning: Significant Boost via Parameter-Free Optimization. CoRR abs/2506.03725 (2025) - [i4]Sergey Skorik, Vladislav Dorofeev, Gleb Molodtsov, Aram Avetisyan, Dmitry Bylinkin, Daniil Medyakov, Aleksandr Beznosikov:
Communication-Efficient Federated Learning with Adaptive Number of Participants. CoRR abs/2508.13803 (2025) - [i3]Daniil Medyakov, Gleb Molodtsov, Grigoriy Evseev, Egor Petrov, Aleksandr Beznosikov:
Shuffling Heuristic in Variational Inequalities: Establishing New Convergence Guarantees. CoRR abs/2509.04133 (2025) - [i2]Andrey Pudovikov, Alexandra Khirianova, Ekaterina Solodneva, Gleb Molodtsov, Aleksandr Katrutsa, Yuriy Dorn, Egor Samosvat:
Robust autobidding for noisy conversion prediction models. CoRR abs/2510.08788 (2025) - 2024
- [i1]Daniil Medyakov, Gleb Molodtsov, Aleksandr Beznosikov, Alexander V. Gasnikov:
Optimal Data Splitting in Distributed Optimization for Machine Learning. CoRR abs/2401.07809 (2024)
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