| Primal-Dual Algorithm for Distributed Constrained Optimization J Lei, HF Chen, HT Fang Systems & Control Letters 96, Pages 110–117, 2016 | 90 | 2016 |
| Distributed Resource Allocation Over Random Networks Based on Stochastic Approximation P Yi, J Lei, Y Hong Systems Control Letters 114, pp. 44-51, 2018 | 27 | 2018 |
| On synchronous, asynchronous, and randomized best-response schemes for stochastic Nash games J Lei, UV Shanbhag, JS Pang, S Sen Mathematics of Operations Research 45 (1), 157-190, 2020 | 25 | 2020 |
| Asymptotic properties of primal-dual algorithm for distributed stochastic optimization over random networks with imperfect communications J Lei, HF Chen, HT Fang SIAM Journal on Control and Optimization 56 (3), 2159-2188, 2018 | 25 | 2018 |
| Linearly convergent variable sample-size schemes for stochastic Nash games: Best-response schemes and distributed gradient-response schemes J Lei, UV Shanbhag 2018 IEEE Conference on Decision and Control (CDC), 3547-3552, 2018 | 20 | 2018 |
| Dynamical primal-dual accelerated method with applications to network optimization X Zeng, J Lei, J Chen IEEE Transactions on Automatic Control, 2022 | 18 | 2022 |
| Distributed randomized PageRank algorithm based on stochastic approximation J Lei, HF Chen IEEE Transactions on Automatic Control 60 (6), 1641-1646, 2014 | 16 | 2014 |
| Asynchronous schemes for stochastic and misspecified potential games and nonconvex optimization J Lei, UV Shanbhag Operations Research 68 (6), 1742-1766, 2020 | 12 | 2020 |
| Distributed computation of Nash equilibria for monotone aggregative games via iterative regularization J Lei, UV Shanbhag, J Chen 2020 59th IEEE Conference on Decision and Control (CDC), 2285-2290, 2020 | 9 | 2020 |
| Distributed variable sample-size gradient-response and best-response schemes for stochastic Nash equilibrium problems over graphs J Lei, UV Shanbhag arXiv preprint arXiv:1811.11246, 2018 | 9 | 2018 |
| Distributed stochastic approximation algorithm with expanding truncations: Algorithm and applications J Lei, HF Chen arXiv preprint arXiv:1410.7180, 2014 | 9 | 2014 |
| Asynchronous variance-reduced block schemes for composite non-convex stochastic optimization: block-specific steplengths and adapted batch-sizes J Lei, UV Shanbhag Optimization Methods and Software, 1-31, 2020 | 8 | 2020 |
| Distributed algorithms with finite data rates that solve linear equations J Lei, P Yi, G Shi, BDO Anderson SIAM Journal on Optimization 30 (2), 1191-1222, 2020 | 8 | 2020 |
| Distributed variable sample-size gradient-response and best-response schemes for stochastic Nash games over graphs J Lei, UV Shanbhag arXiv preprint arXiv:1811.11246, 2018 | 7 | 2018 |
| On synchronous, asynchronous, and randomized best-response schemes for computing equilibria in stochastic Nash games J Lei, UV Shanbhag, JS Pang, S Sen arXiv preprint arXiv:1704.04578, 2017 | 7 | 2017 |
| Distributed estimation for parameter in heterogeneous linear time-varying models with observations at network sensors J Lei, HF Chen Communications in Information and Systems 15 (4), 423-451, 2015 | 6 | 2015 |
| Distributed stochastic approximation algorithm with expanding truncations J Lei, HF Chen IEEE Transactions on Automatic Control 65 (2), 664-679, 2019 | 5 | 2019 |
| A randomized inexact proximal best-response scheme for potential stochastic Nash games J Lei, UV Shanbhag 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 1646-1651, 2017 | 5 | 2017 |
| Online convex optimization over Erdos-Rényi random networks J Lei, P Yi, Y Hong, J Chen, G Shi Advances in neural information processing systems 33, 15591-15601, 2020 | 4 | 2020 |
| Network linear equations with finite data rates J Lei, P Yi, G Shi, BDO Anderson 2018 IEEE Conference on Decision and Control (CDC), 3373-3378, 2018 | 4 | 2018 |
Uday V. ShanbhagProfessor, Industrial and Manufacturing Engineering, Pennsylvania State UniversityVerified email at psu.edu
