Seuraa
Ran Xin
Ran Xin
Research Scientist, ByteDance
Vahvistettu sähköpostiosoite verkkotunnuksessa bytedance.com - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
A linear algorithm for optimization over directed graphs with geometric convergence
R Xin, UA Khan
IEEE Control Systems Letters 2 (3), 315-320, 2018
2182018
ADD-OPT: Accelerated distributed directed optimization
C Xi, R Xin, UA Khan
IEEE Transactions on Automatic Control 63 (5), 1329-1339, 2017
1762017
Linear convergence in optimization over directed graphs with row-stochastic matrices
C Xi, VS Mai, R Xin, EH Abed, UA Khan
IEEE Transactions on Automatic Control 63 (10), 3558-3565, 2018
1502018
Distributed heavy-ball: A generalization and acceleration of first-order methods with gradient tracking
R Xin, UA Khan
IEEE Transactions on Automatic Control 65 (6), 2627 - 2633, 2019
1202019
Decentralized stochastic optimization and machine learning: A unified variance-reduction framework for robust performance and fast convergence
R Xin, S Kar, UA Khan
IEEE Signal Processing Magazine 37 (3), 102-113, 2020
110*2020
Decentralized optimization over time-varying directed graphs with row and column-stochastic matrices
F Saadatniaki, R Xin, UA Khan
IEEE Transactions on Automatic Control 65 (11), 4769 - 4780, 2020
106*2020
Distributed stochastic optimization with gradient tracking over strongly-connected networks
R Xin, AK Sahu, UA Khan, S Kar
2019 IEEE 58th Conference on Decision and Control (CDC), 8353-8358, 2019
962019
Variance-Reduced Decentralized Stochastic Optimization With Accelerated Convergence
R Xin, UA Khan, S Kar
IEEE Transactions on Signal Processing 68, 6255-6271, 2020
92*2020
FROST—Fast row-stochastic optimization with uncoordinated step-sizes
R Xin, C Xi, UA Khan
EURASIP Journal on Advances in Signal Processing 2019 (1), 1-14, 2019
772019
An improved convergence analysis for decentralized online stochastic non-convex optimization
R Xin, UA Khan, S Kar
IEEE Transactions on Signal Processing 69, 1842-1858, 2021
702021
A general framework for decentralized optimization with first-order methods
R Xin, S Pu, A Nedić, UA Khan
Proceedings of the IEEE 108 (11), 1869-1889, 2020
692020
Distributed Nesterov gradient methods over arbitrary graphs
R Xin, D Jakovetić, UA Khan
IEEE Signal Processing Letters 26 (8), 1247-1251, 2019
512019
Fast decentralized nonconvex finite-sum optimization with recursive variance reduction
R Xin, UA Khan, S Kar
SIAM Journal on Optimization 32 (1), 1-28, 2022
44*2022
A hybrid variance-reduced method for decentralized stochastic non-convex optimization
R Xin, U Khan, S Kar
International Conference on Machine Learning, 11459-11469, 2021
302021
A Fast Randomized Incremental Gradient Method for Decentralized Nonconvex Optimization
R Xin, UA Khan, S Kar
IEEE Transactions on Automatic Control 67 (10), 5150-5165, 2021
242021
S-ADDOPT: Decentralized stochastic first-order optimization over directed graphs
MI Qureshi, R Xin, S Kar, UA Khan
IEEE Control Systems Letters 5 (3), 953-958, 2020
232020
Push-SAGA: A decentralized stochastic algorithm with variance reduction over directed graphs
MI Qureshi, R Xin, S Kar, UA Khan
IEEE Control Systems Letters 6, 1202-1207, 2021
152021
A stochastic proximal gradient framework for decentralized non-convex composite optimization: Topology-independent sample complexity and communication efficiency
R Xin, S Das, UA Khan, S Kar
arXiv preprint arXiv:2110.01594, 2021
102021
Decentralized Non-Convex Optimization and Learning over Heterogeneous Networks
R Xin
Carnegie Mellon University, 2022
2022
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Artikkelit 1–19