Jinlong Lei
Jinlong Lei
Department of Control Science and Engineering, Tongji University
Verified email at psu.edu
Title
Cited by
Cited by
Year
Primal-Dual Algorithm for Distributed Constrained Optimization
J Lei, HF Chen, HT Fang
Systems & Control Letters 96, Pages 110–117, 2016
442016
Distributed randomized PageRank algorithm based on stochastic approximation
J Lei, HF Chen
IEEE Transactions on Automatic Control 60 (6), 1641-1646, 2014
142014
Distributed Resource Allocation Over Random Networks Based on Stochastic Approximation
P Yi, J Lei, Y Hong
Systems Control Letters 114, pp. 44-51, 2018
102018
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
72018
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
72018
Distributed stochastic approximation algorithm with expanding truncations: Algorithm and applications
J Lei, HF Chen
arXiv preprint arXiv:1410.7180, 2014
72014
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
62017
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
62017
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
42018
A randomized block proximal variable sample-size stochastic gradient method for composite nonconvex stochastic optimization
J Lei, UV Shanbhag
arXiv preprint arXiv:1808.02543, 2018
42018
Asynchronous schemes for stochastic and misspecified potential games and nonconvex optimization
J Lei, UV Shanbhag
arXiv preprint arXiv:1711.03963, 2017
42017
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
22020
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
22018
Data rates for network linear equations
J Lei, P Yi, G Shi, B Anderson
arXiv preprint arXiv:1808.03203, 2018
22018
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
12020
Open Problem—Iterative Schemes for Stochastic Optimization: Convergence Statements and Limit Theorems
A Jalilzadeh, J Lei, UV Shanbhag
Stochastic Systems 9 (3), 299-302, 2019
12019
Distributed parameter estimation in sensor networks based on stochastic approximation
J Lei, HF Chen
2015 34th Chinese Control Conference (CCC), 7487-7492, 2015
12015
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
12015
Variance-Reduced Accelerated First-order Methods: Central Limit Theorems and Confidence Statements
J Lei, UV Shanbhag
arXiv preprint arXiv:2006.07769, 2020
2020
Linearly Convergent Algorithm with Variance Reduction for Distributed Stochastic Optimization
J Lei, P Yi, J Chen, Y Hong
arXiv preprint arXiv:2002.03269, 2020
2020
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