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Alexander Tiurin
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2020 – today
- 2024
- [i11]Alexander Tyurin, Marta Pozzi, Ivan Ilin, Peter Richtárik:
Shadowheart SGD: Distributed Asynchronous SGD with Optimal Time Complexity Under Arbitrary Computation and Communication Heterogeneity. CoRR abs/2402.04785 (2024) - [i10]Kaja Gruntkowska
, Alexander Tyurin, Peter Richtárik:
Improving the Worst-Case Bidirectional Communication Complexity for Nonconvex Distributed Optimization under Function Similarity. CoRR abs/2402.06412 (2024) - [i9]Alexander Tyurin, Kaja Gruntkowska, Peter Richtárik:
Freya PAGE: First Optimal Time Complexity for Large-Scale Nonconvex Finite-Sum Optimization with Heterogeneous Asynchronous Computations. CoRR abs/2405.15545 (2024) - [i8]Alexander Tyurin:
Tight Time Complexities in Parallel Stochastic Optimization with Arbitrary Computation Dynamics. CoRR abs/2408.04929 (2024) - 2023
- [j4]Alexander Tyurin, Lukang Sun, Konstantin Burlachenko, Peter Richtárik:
Sharper Rates and Flexible Framework for Nonconvex SGD with Client and Data Sampling. Trans. Mach. Learn. Res. 2023 (2023) - [c9]Alexander Tyurin, Peter Richtárik:
DASHA: Distributed Nonconvex Optimization with Communication Compression and Optimal Oracle Complexity. ICLR 2023 - [c8]Kaja Gruntkowska, Alexander Tyurin, Peter Richtárik:
EF21-P and Friends: Improved Theoretical Communication Complexity for Distributed Optimization with Bidirectional Compression. ICML 2023: 11761-11807 - [c7]Ilyas Fatkhullin, Alexander Tyurin, Peter Richtárik:
Momentum Provably Improves Error Feedback! NeurIPS 2023 - [c6]Alexander Tyurin, Peter Richtárik:
2Direction: Theoretically Faster Distributed Training with Bidirectional Communication Compression. NeurIPS 2023 - [c5]Alexander Tyurin, Peter Richtárik:
Optimal Time Complexities of Parallel Stochastic Optimization Methods Under a Fixed Computation Model. NeurIPS 2023 - [c4]Alexander Tyurin, Peter Richtárik:
A Computation and Communication Efficient Method for Distributed Nonconvex Problems in the Partial Participation Setting. NeurIPS 2023 - [i7]Ilyas Fatkhullin, Alexander Tyurin, Peter Richtárik:
Momentum Provably Improves Error Feedback! CoRR abs/2305.15155 (2023) - 2022
- [j3]Igor V. Deyneko
Modeling and cleaning RNA-seq data significantly improve detection of differentially expressed genes. BMC Bioinform. 23(1): 488 (2022) - [j2]Anastasiya Ivanova, Pavel E. Dvurechensky, Evgeniya A. Vorontsova
Oracle Complexity Separation in Convex Optimization. J. Optim. Theory Appl. 193(1): 462-490 (2022) - [c3]Rafal Szlendak, Alexander Tyurin, Peter Richtárik:
Permutation Compressors for Provably Faster Distributed Nonconvex Optimization. ICLR 2022 - [i6]Alexander Tyurin
DASHA: Distributed Nonconvex Optimization with Communication Compression, Optimal Oracle Complexity, and No Client Synchronization. CoRR abs/2202.01268 (2022) - [i5]Alexander Tyurin, Peter Richtárik:
A Computation and Communication Efficient Method for Distributed Nonconvex Problems in the Partial Participation Setting. CoRR abs/2205.15580 (2022) - [i4]Alexander Tyurin, Lukang Sun, Konstantin Burlachenko, Peter Richtárik:
Sharper Rates and Flexible Framework for Nonconvex SGD with Client and Data Sampling. CoRR abs/2206.02275 (2022) - [i3]Kaja Gruntkowska
EF21-P and Friends: Improved Theoretical Communication Complexity for Distributed Optimization with Bidirectional Compression. CoRR abs/2209.15218 (2022) - 2021
- [j1]Fedor S. Stonyakin
Inexact model: a framework for optimization and variational inequalities. Optim. Methods Softw. 36(6): 1155-1201 (2021) - [i2]Rafal Szlendak, Alexander Tyurin
Permutation Compressors for Provably Faster Distributed Nonconvex Optimization. CoRR abs/2110.03300 (2021) - 2020
- [c2]Pavel E. Dvurechensky
A Stable Alternative to Sinkhorn's Algorithm for Regularized Optimal Transport. MOTOR 2020: 406-423
2010 – 2019
- 2019
- [c1]Fedor S. Stonyakin
Gradient Methods for Problems with Inexact Model of the Objective. MOTOR 2019: 97-114 - 2017
- [i1]Pavel E. Dvurechensky, Alexander V. Gasnikov, Alexander Tiurin
Randomized Similar Triangles Method: A Unifying Framework for Accelerated Randomized Optimization Methods (Coordinate Descent, Directional Search, Derivative-Free Method). CoRR abs/1707.08486 (2017)
Coauthor Index
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