Gleb Molodtsov

According to our database, Gleb Molodtsov authored at least 10 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Bridging KANs and Tabular Deep Learning: Feature Embeddings and Efficient Ensembling.

Georgii Bulgakov, Danil Rudenko, Gleb Molodtsov, Aleksandr Beznosikov

IEEE Access, 2026

Bant: Byzantine Antidote via Trial Function and Trust Scores.

Gleb Molodtsov, Daniil Medyakov, Sergey Skorik, Nikolas Khachaturov, Shahane Tigranyan, Vladimir Aletov, Aram Avetisyan, Martin Takác, Aleksandr Beznosikov

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Robust autobidding for noisy conversion prediction models.

Andrey Pudovikov, Alexandra Khirianova, Ekaterina Solodneva, Gleb Molodtsov, Aleksandr Katrutsa, Yuriy Dorn, Egor Samosvat

CoRR, October, 2025

Shuffling Heuristic in Variational Inequalities: Establishing New Convergence Guarantees.

Daniil Medyakov, Gleb Molodtsov, Grigoriy Evseev, Egor Petrov, Aleksandr Beznosikov

CoRR, September, 2025

Communication-Efficient Federated Learning with Adaptive Number of Participants.

Sergey Skorik, Vladislav Dorofeev, Gleb Molodtsov, Aram Avetisyan, Dmitry Bylinkin, Daniil Medyakov, Aleksandr Beznosikov

CoRR, August, 2025

Sign-SGD is the Golden Gate between Multi-Node to Single-Node Learning: Significant Boost via Parameter-Free Optimization.

Daniil Medyakov, Sergey Stanko, Gleb Molodtsov, Philip Zmushko, Grigoriy Evseev, Egor Petrov, Aleksandr Beznosikov

CoRR, June, 2025

Trial and Trust: Addressing Byzantine Attacks with Comprehensive Defense Strategy.

Gleb Molodtsov, Daniil Medyakov, Sergey Skorik, Nikolas Khachaturov, Shahane Tigranyan, Vladimir Aletov, Aram Avetisyan, Martin Takác, Aleksandr Beznosikov

CoRR, May, 2025

Variance Reduction Methods Do Not Need to Compute Full Gradients: Improved Efficiency through Shuffling.

Daniil Medyakov, Gleb Molodtsov, Saveliy Chezhegov, Alexey Rebrikov, Aleksandr Beznosikov

CoRR, February, 2025

When Extragradient Meets PAGE: Bridging Two Giants to Boost Variational Inequalities.

Gleb Molodtsov, Valery Parfenov, Egor Petrov, Grigoriy Evseev, Daniil Medyakov, Aleksandr Beznosikov

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

2024

Optimal Data Splitting in Distributed Optimization for Machine Learning.

Daniil Medyakov, Gleb Molodtsov, Aleksandr Beznosikov, Alexander V. Gasnikov

CoRR, 2024