引用次数
引用: 8,135
H-指数: 38
I10-指数 : 107
出版物: 229
Diminishing regret for online nonconvex optimization
SangWoo Park , Julie Mulvaney-Kemp , Ming Jin , Javad Lavaei
Smpte Journal 978 -985
5
2021
Beyond exact gradients: Convergence of stochastic soft-max policy gradient methods with entropy regularization
Yuhao Ding , Junzi Zhang , Hyunin Lee , Javad Lavaei
arXiv preprint arXiv:2110.10117
5
2021
INFORMS OS Today
Jean-Bernard Lasserre , Robert Weismantel , Fatma Kılınç-Karzan , Somayeh Sojoudi
The Newsletter of the INFORMS Optimization Society 6 ( 1)
2016
Power grid AC-based state estimation: Vulnerability analysis against cyber attacks
Ming Jin , Javad Lavaei , Karl Henrik Johansson
IEEE Transactions on Automatic Control 64 ( 5) 1784 -1799
111
2018
Tempo Adaptation in Non-stationary Reinforcement Learning
Hyunin Lee , Yuhao Ding , Jongmin Lee , Ming Jin
37th Conference on Neural Information Processing Systems (NeurIPS)
2
2023
Pausing Policy Learning in Non-stationary Reinforcement Learning
Hyunin Lee , Ming Jin , Javad Lavaei , Somayeh Sojoudi
arXiv preprint arXiv:2405.16053
2024
Utility functionals associated with available congestion control algorithms
Javad Lavaei , John C Doyle , Steven H Low
2010 Proceedings IEEE INFOCOM 1 -9
18
2010
Policy-based primal-dual methods for convex constrained markov decision processes
Donghao Ying , Mengzi Amy Guo , Yuhao Ding , Javad Lavaei
Proceedings of the AAAI Conference on Artificial Intelligence 37 ( 9) 10963 -10971
8
2023
No-regret learning in dynamic competition with reference effects under logit demand
Mengzi Amy Guo , Donghao Ying , Javad Lavaei , Zuo-Jun Shen
Advances in Neural Information Processing Systems 36
2
2024
Last-iterate Convergence in No-regret Learning: Games with Reference Effects Under Logit Demand
Mengzi Amy Guo , Donghao Ying , Javad Lavaei , Zuo-Jun Max Shen
Available at SSRN 4597658
2
2023
Policy-based Primal-Dual Methods for Concave CMDP with Variance Reduction
Donghao Ying , Mengzi Amy Guo , Hyunin Lee , Yuhao Ding
Solving large-scale hybrid circuit-antenna problems
Javad Lavaei , Aydin Babakhani , Ali Hajimiri , John C Doyle
IEEE Transactions on Circuits and Systems I: Regular Papers 58 ( 2) 374 -387
15
2010
Programmable antenna design using convex optimization
Javad Lavaei , Aydin Babakhani , Ali Hajimiri , John C Doyle
19th International Symposium on Mathematical Theory of Networks and Systems
4
2010
High-performance cooperative distributed model predictive control for linear systems
Georgios Darivianakis , Salar Fattahi , John Lygeros , Javad Lavaei
2018 Annual American Control Conference (ACC) 2318 -2325
7
2018
Escaping spurious local minimum trajectories in online time-varying nonconvex optimization
Yuhao Ding , Javad Lavaei , Murat Arcak
2021 American Control Conference (ACC) 454 -461
14
2021
Time-variation in online nonconvex optimization enables escaping from spurious local minima
Yuhao Ding , Javad Lavaei , Murat Arcak
IEEE Transactions on Automatic Control 68 ( 1) 156 -171
9
2021
Exact Recovery for System Identification with More Corrupt Data than Clean Data
Baturalp Yalcin , Haixiang Zhang , Javad Lavaei , Murat Arcak
arXiv preprint arXiv:2305.10506
1
2023
Learning-to-Learn to Guide Random Search: Derivative-Free Meta Blackbox Optimization on Manifold
Bilgehan Sel , Ahmad Tawaha , Yuhao Ding , Ruoxi Jia
Learning for Dynamics and Control Conference 38 -50
2
2023
Adversarial attacks on computation of the modified policy iteration method
Ali Yekkehkhany , Han Feng , Javad Lavaei
2021 60th IEEE Conference on Decision and Control (CDC) 49 -56
5
2021
A hitting time analysis for stochastic time-varying functions with applications to adversarial attacks on computation of Markov decision processes
Ali Yekkehkhany , Han Feng , Donghao Ying , Javad Lavaei
IEEE Transactions on Automatic Control
1
2023