A flexible gradient tracking algorithmic framework for decentralized optimization.
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- Computational Optimization & Applications, 2025, v. 91, n. 3, p. 1073, doi. 10.1007/s10589-025-00685-w
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- Article
Works matching AU Bollapragada, Raghu
Results: 6
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An investigation of Newton-Sketch and subsampled Newton methods.
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- Optimization Methods & Software, 2020, v. 35, n. 4, p. 661, doi. 10.1080/10556788.2020.1725751
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- Article
3
Balancing Communication and Computation in Gradient Tracking Algorithms for Decentralized Optimization.
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- Journal of Optimization Theory & Applications, 2024, v. 203, n. 3, p. 2954, doi. 10.1007/s10957-024-02554-8
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- Article
4
Constrained and composite optimization via adaptive sampling methods.
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- IMA Journal of Numerical Analysis, 2024, v. 44, n. 2, p. 680, doi. 10.1093/imanum/drad020
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- Article
5
Exact and inexact subsampled Newton methods for optimization.
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- IMA Journal of Numerical Analysis, 2019, v. 39, n. 2, p. 545, doi. 10.1093/imanum/dry009
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- Article
6
Nonlinear acceleration of momentum and primal-dual algorithms.
- Published in:
- Mathematical Programming, 2023, v. 198, n. 1, p. 325, doi. 10.1007/s10107-022-01775-x
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- Article