| A linear algorithm for optimization over directed graphs with geometric convergence R Xin, UA Khan IEEE Control Systems Letters 2 (3), 315-320, 2018 | 273 | 2018 |
| ADD-OPT: Accelerated distributed directed optimization C Xi, R Xin, UA Khan IEEE Transactions on Automatic Control 63 (5), 1329-1339, 2017 | 226 | 2017 |
| 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 | 196 | 2018 |
| 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 | 162 | 2019 |
| 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 | 136* | 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 | 134* | 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 | 124 | 2019 |
| Variance-Reduced Decentralized Stochastic Optimization With Accelerated Convergence R Xin, UA Khan, S Kar IEEE Transactions on Signal Processing 68, 6255-6271, 2020 | 117* | 2020 |
| 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 | 108 | 2020 |
| 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 | 106 | 2021 |
| FROST—Fast row-stochastic optimization with uncoordinated step-sizes R Xin, C Xi, UA Khan EURASIP Journal on Advances in Signal Processing 2019, 1-14, 2019 | 102 | 2019 |
| Distributed Nesterov gradient methods over arbitrary graphs R Xin, D Jakovetić, UA Khan IEEE Signal Processing Letters 26 (8), 1247-1251, 2019 | 67 | 2019 |
| 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 | 59* | 2022 |
| 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 | 40 | 2021 |
| 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 | 39 | 2021 |
| 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 | 38 | 2020 |
| 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 | 27* | 2021 |
| 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 | 16 | 2021 |
| Towards Better Understanding the Influence of Directed Networks on Decentralized Stochastic Optimization L Liang, X Huang, R Xin, K Yuan arXiv preprint arXiv:2312.04928, 2023 | | 2023 |
| Decentralized Non-Convex Optimization and Learning over Heterogeneous Networks R Xin Carnegie Mellon University, 2022 | | 2022 |
Usman A. KhanProfessor, ECE and CS, Tufts University, Amazon Scholar at Amazon RoboticsVerified email at ece.tufts.edu
