Yury Demidovich

According to our database1, Yury Demidovich authored at least 14 papers between 2022 and 2026.

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Bibliography

2026
Distance-Aware Muon: Adaptive Step Scaling for Normalized Optimization.
CoRR, May, 2026

2025
Better LMO-based Momentum Methods with Second-Order Information.
CoRR, December, 2025

Improved Convergence in Parameter-Agnostic Error Feedback through Momentum.
CoRR, November, 2025

Bernoulli-LoRA: A Theoretical Framework for Randomized Low-Rank Adaptation.
CoRR, August, 2025

Correlated Quantization for Faster Nonconvex Distributed Optimization.
Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

Methods with Local Steps and Random Reshuffling for Generally Smooth Non-Convex Federated Optimization.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MAST: model-agnostic sparsified training.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
A Unified Theory of Stochastic Proximal Point Methods without Smoothness.
CoRR, 2024

Streamlining in the Riemannian Realm: Efficient Riemannian Optimization with Loopless Variance Reduction.
CoRR, 2024

2023
Cycle Saturation in Random Graphs.
SIAM J. Discret. Math., September, 2023

Tight asymptotics of clique-chromatic numbers of dense random graphs.
J. Graph Theory, July, 2023

Reconstruction of colours.
CoRR, 2023

A Guide Through the Zoo of Biased SGD.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Graph-based Nearest Neighbor Search in Hyperbolic Spaces.
Proceedings of the Tenth International Conference on Learning Representations, 2022


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