Yury Demidovich

17 papers A* 4A 1Journal 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Bernoulli-LoRA: A Theoretical Framework for Randomized Low-Rank Adaptation. CoRR Igor Sokolov, Abdurakhmon Sadiev, Yury Demidovich, Fawaz S. Al-Qahtani, Peter Richtárik
2025	J	`jnl`	Better LMO-based Momentum Methods with Second-Order Information. CoRR Sarit Khirirat, Abdurakhmon Sadiev, Yury Demidovich, Peter Richtárik
2025	A	`conf`	Correlated Quantization for Faster Nonconvex Distributed Optimization. UAI Andrei Panferov, Yury Demidovich, Ahmad Rammal, Peter Richtárik
2025	J	`jnl`	Improved Convergence in Parameter-Agnostic Error Feedback through Momentum. CoRR Abdurakhmon Sadiev, Yury Demidovich, Igor Sokolov, Grigory Malinovsky, Sarit Khirirat, Peter Richtárik
2025	A*	`conf`	MAST: model-agnostic sparsified training. ICLR Yury Demidovich, Grigory Malinovsky, Egor Shulgin, Peter Richtárik
2025	A*	`conf`	Methods with Local Steps and Random Reshuffling for Generally Smooth Non-Convex Federated Optimization. ICLR Yury Demidovich, Petr Ostroukhov, Grigory Malinovsky, Samuel Horváth, Martin Takác, Peter Richtárik, Eduard Gorbunov
2024	J	`jnl`	A Unified Theory of Stochastic Proximal Point Methods without Smoothness. CoRR Peter Richtárik, Abdurakhmon Sadiev, Yury Demidovich
2024	J	`jnl`	Correlated Quantization for Faster Nonconvex Distributed Optimization. CoRR Andrei Panferov, Yury Demidovich, Ahmad Rammal, Peter Richtárik
2024	J	`jnl`	Methods with Local Steps and Random Reshuffling for Generally Smooth Non-Convex Federated Optimization. CoRR Yury Demidovich, Petr Ostroukhov, Grigory Malinovsky, Samuel Horváth, Martin Takác, Peter Richtárik, Eduard Gorbunov
2024	J	`jnl`	Streamlining in the Riemannian Realm: Efficient Riemannian Optimization with Loopless Variance Reduction. CoRR Yury Demidovich, Grigory Malinovsky, Peter Richtárik
2023	A*	`conf`	A Guide Through the Zoo of Biased SGD. NeurIPS Yury Demidovich, Grigory Malinovsky, Igor Sokolov, Peter Richtárik
2023	J	`jnl`	A Guide Through the Zoo of Biased SGD. CoRR Yury Demidovich, Grigory Malinovsky, Igor Sokolov, Peter Richtárik
2023	J	`jnl`	Cycle Saturation in Random Graphs. SIAM J. Discret. Math. Yury Demidovich, Arkadiy Skorkin, Maksim Zhukovskii
2023	J	`jnl`	MAST: Model-Agnostic Sparsified Training. CoRR Yury Demidovich, Grigory Malinovsky, Egor Shulgin, Peter Richtárik
2023	J	`jnl`	Reconstruction of colours. CoRR Yury Demidovich, Yaroslav Panichkin, Maksim Zhukovskii
2023	J	`jnl`	Tight asymptotics of clique-chromatic numbers of dense random graphs. J. Graph Theory Yury Demidovich, Maksim Zhukovskii
2022	A*	`conf`	Graph-based Nearest Neighbor Search in Hyperbolic Spaces. ICLR Liudmila Prokhorenkova, Dmitry Baranchuk, Nikolay Bogachev, Yury Demidovich, Alexander Kolpakov