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Yury Demidovich
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2020 – today
- 2024
- [i6]Andrei Panferov, Yury Demidovich, Ahmad Rammal, Peter Richtárik:
Correlated Quantization for Faster Nonconvex Distributed Optimization. CoRR abs/2401.05518 (2024) - [i5]Yury Demidovich, Grigory Malinovsky, Peter Richtárik:
Streamlining in the Riemannian Realm: Efficient Riemannian Optimization with Loopless Variance Reduction. CoRR abs/2403.06677 (2024) - [i4]Peter Richtárik, Abdurakhmon Sadiev, Yury Demidovich:
A Unified Theory of Stochastic Proximal Point Methods without Smoothness. CoRR abs/2405.15941 (2024) - 2023
- [j2]Yury Demidovich, Maksim Zhukovskii:
Tight asymptotics of clique-chromatic numbers of dense random graphs. J. Graph Theory 103(3): 451-461 (2023) - [j1]Yury Demidovich, Arkadiy Skorkin, Maksim Zhukovskii:
Cycle Saturation in Random Graphs. SIAM J. Discret. Math. 37(3): 1359-1385 (2023) - [c2]Yury Demidovich, Grigory Malinovsky, Igor Sokolov, Peter Richtárik:
A Guide Through the Zoo of Biased SGD. NeurIPS 2023 - [i3]Yury Demidovich, Grigory Malinovsky, Igor Sokolov
, Peter Richtárik:
A Guide Through the Zoo of Biased SGD. CoRR abs/2305.16296 (2023) - [i2]Yury Demidovich, Yaroslav Panichkin, Maksim Zhukovskii:
Reconstruction of colours. CoRR abs/2308.01671 (2023) - [i1]Yury Demidovich, Grigory Malinovsky, Egor Shulgin, Peter Richtárik:
MAST: Model-Agnostic Sparsified Training. CoRR abs/2311.16086 (2023) - 2022
- [c1]Liudmila Prokhorenkova, Dmitry Baranchuk, Nikolay Bogachev, Yury Demidovich, Alexander Kolpakov:
Graph-based Nearest Neighbor Search in Hyperbolic Spaces. ICLR 2022
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