default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJavad Lavaei
Javad Lavaei Yanesi
Person information
- affiliation (PhD 2011): University of California, Berkeley, Department of Industrial Engineering and Operations Research, CA, USA
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j58]Haixiang Zhang, Baturalp Yalcin, Javad Lavaei
, Somayeh Sojoudi:
A new complexity metric for nonconvex rank-one generalized matrix completion. Math. Program. 207(1): 227-268 (2024)- [j57]Ali Yekkehkhany, Han Feng, Donghao Ying, Javad Lavaei:
A Hitting Time Analysis for Stochastic Time-Varying Functions With Applications to Adversarial Attacks on Computation of Markov Decision Processes. IEEE Trans. Autom. Control. 69(6): 3615-3630 (2024) - [j56]Jihun Kim, Yuhao Ding, Yingjie Bi, Javad Lavaei:
The Landscape of Deterministic and Stochastic Optimal Control Problems: One-Shot Optimization Versus Dynamic Programming. IEEE Trans. Autom. Control. 69(12): 8587-8602 (2024) - [c123]Ziye Ma, Ying Chen, Javad Lavaei, Somayeh Sojoudi:
Absence of spurious solutions far from ground truth: A low-rank analysis with high-order losses. AISTATS 2024: 1603-1611 - [c122]Hyunin Lee, Ming Jin, Javad Lavaei, Somayeh Sojoudi:
Pausing Policy Learning in Non-stationary Reinforcement Learning. ICML 2024 - [i31]Ziye Ma, Ying Chen, Javad Lavaei, Somayeh Sojoudi:
Absence of spurious solutions far from ground truth: A low-rank analysis with high-order losses. CoRR abs/2403.06056 (2024) - [i30]Muyan Jiang, Ying Chen, Xin Chen, Javad Lavaei, Anil Aswani:
Optimal Contract Design for End-of-Life Care Payments. CoRR abs/2403.15099 (2024) - [i29]Hyunin Lee, Ming Jin, Javad Lavaei, Somayeh Sojoudi:
Pausing Policy Learning in Non-stationary Reinforcement Learning. CoRR abs/2405.16053 (2024) - [i28]Vanshaj Khattar, Yuhao Ding, Bilgehan Sel, Javad Lavaei, Ming Jin:
A CMDP-within-online framework for Meta-Safe Reinforcement Learning. CoRR abs/2405.16601 (2024) - [i27]Hyunin Lee, David Abel, Ming Jin, Javad Lavaei, Somayeh Sojoudi:
A Black Swan Hypothesis in Markov Decision Process via Irrationality. CoRR abs/2407.18422 (2024) - [i26]Haixiang Zhang, Baturalp Yalcin, Javad Lavaei, Eduardo D. Sontag:
Exact Recovery Guarantees for Parameterized Non-linear System Identification Problem under Adversarial Attacks. CoRR abs/2409.00276 (2024) - [i25]Jihun Kim, Javad Lavaei:
Online Bandit Nonlinear Control with Dynamic Batch Length and Adaptive Learning Rate. CoRR abs/2410.03230 (2024) - 2023
- [j55]Ziye Ma, Yingjie Bi, Javad Lavaei, Somayeh Sojoudi:
Geometric Analysis of Noisy Low-Rank Matrix Recovery in the Exact Parametrized and the Overparametrized Regimes. INFORMS J. Optim. 5(4): 356-375 (2023) - [j54]Haixiang Zhang, Zeyu Zheng, Javad Lavaei:
Gradient-Based Algorithms for Convex Discrete Optimization via Simulation. Oper. Res. 71(5): 1815-1834 (2023) - [j53]Salar Fattahi, Cédric Josz, Yuhao Ding, Reza Mohammadi-Ghazi, Javad Lavaei, Somayeh Sojoudi:
On the Absence of Spurious Local Trajectories in Time-Varying Nonconvex Optimization. IEEE Trans. Autom. Control. 68(1): 80-95 (2023) - [j52]Yuhao Ding, Javad Lavaei, Murat Arcak:
Time-Variation in Online Nonconvex Optimization Enables Escaping From Spurious Local Minima. IEEE Trans. Autom. Control. 68(1): 156-171 (2023) - [j51]Julie Mulvaney-Kemp, SangWoo Park, Ming Jin, Javad Lavaei:
Dynamic Regret Bounds for Constrained Online Nonconvex Optimization Based on Polyak-Lojasiewicz Regions. IEEE Trans. Control. Netw. Syst. 10(2): 599-611 (2023) - [c121]Yuhao Ding, Javad Lavaei:
Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints. AAAI 2023: 7396-7404 - [c120]Yuhao Ding, Ming Jin, Javad Lavaei:
Non-stationary Risk-Sensitive Reinforcement Learning: Near-Optimal Dynamic Regret, Adaptive Detection, and Separation Design. AAAI 2023: 7405-7413 - [c119]Baturalp Yalçin, Ziye Ma, Javad Lavaei, Somayeh Sojoudi:
Semidefinite Programming versus Burer-Monteiro Factorization for Matrix Sensing. AAAI 2023: 10702-10710 - [c118]Donghao Ying, Mengzi Amy Guo, Yuhao Ding, Javad Lavaei, Zuo-Jun Max Shen:
Policy-Based Primal-Dual Methods for Convex Constrained Markov Decision Processes. AAAI 2023: 10963-10971 - [c117]Donghao Ying, Yuhao Ding, Alec Koppel, Javad Lavaei:
Scalable Multi-Agent Reinforcement Learning with General Utilities. ACC 2023: 3977-3982 - [c116]Han Feng, Baturalp Yalcin, Javad Lavaei:
Learning of Dynamical Systems under Adversarial Attacks - Null Space Property Perspective. ACC 2023: 4179-4184 - [c115]Eli Brock, Haixiang Zhang, Julie Mulvaney-Kemp, Javad Lavaei, Somayeh Sojoudi:
Distributionally Robust Optimization for Nonconvex QCQPs with Stochastic Constraints. CDC 2023: 4320-4326 - [c114]Yuhao Ding, Junzi Zhang, Javad Lavaei:
Local Analysis of Entropy-Regularized Stochastic Soft-Max Policy Gradient Methods. ECC 2023: 1-8 - [c113]Sangwoo Park, Fernando Gama, Javad Lavaei, Somayeh Sojoudi:
Distributed Power System State Estimation Using Graph Convolutional Neural Networks. HICSS 2023: 2756-2765 - [c112]Vanshaj Khattar, Yuhao Ding, Bilgehan Sel, Javad Lavaei, Ming Jin:
A CMDP-within-online framework for Meta-Safe Reinforcement Learning. ICLR 2023 - [c111]Ziye Ma, Igor Molybog, Javad Lavaei, Somayeh Sojoudi:
Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle Points. ICML 2023: 23373-23387 - [c110]Bilgehan Sel, Ahmad Al-Tawaha, Yuhao Ding, Ruoxi Jia, Bo Ji, Javad Lavaei, Ming Jin:
Learning-to-Learn to Guide Random Search: Derivative-Free Meta Blackbox Optimization on Manifold. L4DC 2023: 38-50 - [c109]Mengzi Amy Guo, Donghao Ying, Javad Lavaei, Zuo-Jun Max Shen:
No-Regret Learning in Dynamic Competition with Reference Effects Under Logit Demand. NeurIPS 2023 - [c108]Hyunin Lee, Yuhao Ding, Jongmin Lee, Ming Jin, Javad Lavaei, Somayeh Sojoudi:
Tempo Adaptation in Non-stationary Reinforcement Learning. NeurIPS 2023 - [c107]Ziye Ma, Javad Lavaei, Somayeh Sojoudi:
Algorithmic Regularization in Tensor Optimization: Towards a Lifted Approach in Matrix Sensing. NeurIPS 2023 - [c106]Donghao Ying, Yunkai Zhang, Yuhao Ding, Alec Koppel, Javad Lavaei:
Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities. NeurIPS 2023 - [c105]Haixiang Zhang, Ying Chen, Javad Lavaei:
Geometric Analysis of Matrix Sensing over Graphs. NeurIPS 2023 - [i24]Ziye Ma, Igor Molybog, Javad Lavaei, Somayeh Sojoudi:
Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle Points. CoRR abs/2302.07828 (2023) - [i23]Donghao Ying, Yuhao Ding, Alec Koppel, Javad Lavaei:
Scalable Multi-Agent Reinforcement Learning with General Utilities. CoRR abs/2302.07938 (2023) - [i22]Mengzi Amy Guo, Donghao Ying, Javad Lavaei, Zuo-Jun Max Shen:
No-Regret Learning in Dynamic Competition with Reference Effects Under Logit Demand. CoRR abs/2305.17567 (2023) - [i21]Donghao Ying, Yunkai Zhang, Yuhao Ding, Alec Koppel, Javad Lavaei:
Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities. CoRR abs/2305.17568 (2023) - [i20]Hyunin Lee, Yuhao Ding, Jongmin Lee, Ming Jin, Javad Lavaei, Somayeh Sojoudi:
Tempo Adaption in Non-stationary Reinforcement Learning. CoRR abs/2309.14989 (2023) - [i19]Ziye Ma, Javad Lavaei, Somayeh Sojoudi:
Algorithmic Regularization in Tensor Optimization: Towards a Lifted Approach in Matrix Sensing. CoRR abs/2310.15549 (2023) - 2022
- [j50]Sangwoo Park, Elizabeth Glista, Javad Lavaei, Somayeh Sojoudi:
An Efficient Homotopy Method for Solving the Post-Contingency Optimal Power Flow to Global Optimality. IEEE Access 10: 124960-124978 (2022) - [j49]Igor Molybog, Somayeh Sojoudi, Javad Lavaei:
Role of sparsity and structure in the optimization landscape of non-convex matrix sensing. Math. Program. 193(1): 75-111 (2022) - [j48]Haixiang Zhang, SangWoo Park, Javad Lavaei, Ross Baldick:
Uniqueness of Power Flow Solutions Using Graph-Theoretic Notions. IEEE Trans. Control. Netw. Syst. 9(1): 100-112 (2022) - [j47]Han Feng, Javad Lavaei:
Damping With Varying Regularization in Optimal Decentralized Control. IEEE Trans. Control. Netw. Syst. 9(1): 344-355 (2022) - [j46]Yingjie Bi, Javad Lavaei:
On the Connectivity Properties of Feasible Regions of Optimal Decentralized Control Problems. IEEE Trans. Control. Netw. Syst. 9(2): 537-549 (2022) - [c104]Ziye Ma, Yingjie Bi, Javad Lavaei, Somayeh Sojoudi:
Sharp Restricted Isometry Property Bounds for Low-Rank Matrix Recovery Problems with Corrupted Measurements. AAAI 2022: 7672-7681 - [c103]Yingjie Bi, Haixiang Zhang, Javad Lavaei:
Local and Global Linear Convergence of General Low-Rank Matrix Recovery Problems. AAAI 2022: 10129-10137 - [c102]Baturalp Yalcin, Haixiang Zhang, Javad Lavaei, Somayeh Sojoudi:
Factorization Approach for Low-complexity Matrix Completion Problems: Exponential Number of Spurious Solutions and Failure of Gradient Methods. AISTATS 2022: 319-341 - [c101]Donghao Ying, Yuhao Ding, Javad Lavaei:
A Dual Approach to Constrained Markov Decision Processes with Entropy Regularization. AISTATS 2022: 1887-1909 - [c100]Yuhao Ding, Junzi Zhang, Javad Lavaei:
On the Global Optimum Convergence of Momentum-based Policy Gradient. AISTATS 2022: 1910-1934 - [i18]Yuhao Ding, Javad Lavaei:
Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints. CoRR abs/2201.11965 (2022) - [i17]Donghao Ying, Mengzi Guo, Yuhao Ding, Javad Lavaei, Zuo-Jun Shen:
Policy-based Primal-Dual Methods for Convex Constrained Markov Decision Processes. CoRR abs/2205.10715 (2022) - [i16]Baturalp Yalcin, Ziye Ma, Javad Lavaei, Somayeh Sojoudi:
Semidefinite Programming versus Burer-Monteiro Factorization for Matrix Sensing. CoRR abs/2208.07469 (2022) - [i15]Han Feng, Baturalp Yalcin, Javad Lavaei:
Learning of Dynamical Systems under Adversarial Attacks - Null Space Property Perspective. CoRR abs/2210.01421 (2022) - [i14]Yuhao Ding, Ming Jin, Javad Lavaei:
Non-stationary Risk-sensitive Reinforcement Learning: Near-optimal Dynamic Regret, Adaptive Detection, and Separation Design. CoRR abs/2211.10815 (2022) - 2021
- [j45]Sangwoo Park, Reza Mohammadi-Ghazi, Javad Lavaei:
Nonlinear Least Absolute Value Estimator for Topology Error Detection and Robust State Estimation. IEEE Access 9: 137198-137210 (2021) - [j44]Richard Y. Zhang, Javad Lavaei:
Sparse semidefinite programs with guaranteed near-linear time complexity via dualized clique tree conversion. Math. Program. 188(1): 351-393 (2021) - [j43]SangWoo Park, Richard Y. Zhang, Javad Lavaei, Ross Baldick:
Uniqueness of Power Flow Solutions Using Monotonicity and Network Topology. IEEE Trans. Control. Netw. Syst. 8(1): 319-330 (2021) - [j42]Julie Mulvaney-Kemp, Salar Fattahi, Javad Lavaei:
Smoothing Property of Load Variation Promotes Finding Global Solutions of Time-Varying Optimal Power Flow. IEEE Trans. Control. Netw. Syst. 8(3): 1552-1564 (2021) - [j41]Ming Jin, Javad Lavaei, Somayeh Sojoudi, Ross Baldick:
Boundary Defense Against Cyber Threat for Power System State Estimation. IEEE Trans. Inf. Forensics Secur. 16: 1752-1767 (2021) - [c99]Yingjie Bi, Javad Lavaei:
On the Absence of Spurious Local Minima in Nonlinear Low-Rank Matrix Recovery Problems. AISTATS 2021: 379-387 - [c98]Yuhao Ding, Javad Lavaei, Murat Arcak:
Escaping Spurious Local Minimum Trajectories in Online Time-varying Nonconvex Optimization. ACC 2021: 454-461 - [c97]SangWoo Park, Julie Mulvaney-Kemp, Ming Jin, Javad Lavaei:
Diminishing Regret for Online Nonconvex Optimization. ACC 2021: 978-985 - [c96]Igor Molybog, Somayeh Sojoudi, Javad Lavaei:
No Spurious Solutions in Non-convex Matrix Sensing: Structure Compensates for Isometry. ACC 2021: 2587-2594 - [c95]Yuhao Ding, Yingjie Bi, Javad Lavaei:
Analysis of Spurious Local Solutions of Optimal Control Problems: One-Shot Optimization Versus Dynamic Programming. ACC 2021: 3836-3843 - [c94]Igor Molybog, Javad Lavaei:
When Does MAML Objective Have Benign Landscape? CCTA 2021: 220-227 - [c93]Ali Yekkehkhany, Han Feng, Javad Lavaei:
Adversarial Attacks on Computation of the Modified Policy Iteration Method. CDC 2021: 49-56 - [c92]Yuhao Ding, Javad Lavaei:
Structured Projection-free Online Convex Optimization with Multi-point Bandit Feedback. CDC 2021: 954-961 - [c91]Han Feng, Javad Lavaei:
Learning of Dynamical Systems under Adversarial Attacks. CDC 2021: 3010-3017 - [c90]Haixiang Zhang, Zeyu Zheng, Javad Lavaei:
Stochastic $L^\natural$-convex Function Minimization. NeurIPS 2021: 13004-13018 - [c89]Haixiang Zhang, Yingjie Bi, Javad Lavaei:
General Low-rank Matrix Optimization: Geometric Analysis and Sharper Bounds. NeurIPS 2021: 27369-27380 - [i13]Ziye Ma, Yingjie Bi, Javad Lavaei, Somayeh Sojoudi:
Sharp Restricted Isometry Property Bounds for Low-rank Matrix Recovery Problems with Corrupted Measurements. CoRR abs/2105.08232 (2021) - [i12]Donghao Ying, Yuhao Ding, Javad Lavaei:
A Dual Approach to Constrained Markov Decision Processes with Entropy Regularization. CoRR abs/2110.08923 (2021) - [i11]Yuhao Ding, Junzi Zhang, Javad Lavaei:
On the Global Convergence of Momentum-based Policy Gradient. CoRR abs/2110.10116 (2021) - [i10]Yuhao Ding, Junzi Zhang, Javad Lavaei:
Beyond Exact Gradients: Convergence of Stochastic Soft-Max Policy Gradient Methods with Entropy Regularization. CoRR abs/2110.10117 (2021) - [i9]Baturalp Yalcin, Haixiang Zhang, Javad Lavaei, Somayeh Sojoudi:
Factorization Approach for Low-complexity Matrix Completion Problems: Exponential Number of Spurious Solutions and Failure of Gradient Methods. CoRR abs/2110.10279 (2021) - 2020
- [j40]Ming Jin, Javad Lavaei:
Stability-Certified Reinforcement Learning: A Control-Theoretic Perspective. IEEE Access 8: 229086-229100 (2020) - [j39]Fariba Zohrizadeh, Cédric Josz, Ming Jin, Ramtin Madani, Javad Lavaei, Somayeh Sojoudi:
A survey on conic relaxations of optimal power flow problem. Eur. J. Oper. Res. 287(2): 391-409 (2020) - [j38]Ramtin Madani, Mohsen Kheirandishfard, Javad Lavaei, Alper Atamtürk:
Penalized semidefinite programming for quadratically-constrained quadratic optimization. J. Glob. Optim. 78(3): 423-451 (2020) - [j37]Igor Molybog, Ramtin Madani, Javad Lavaei:
Conic Optimization for Quadratic Regression Under Sparse Noise. J. Mach. Learn. Res. 21: 195:1-195:36 (2020) - [j36]Han Feng, Javad Lavaei:
Connectivity Properties of the Set of Stabilizing Static Decentralized Controllers. SIAM J. Control. Optim. 58(5): 2790-2820 (2020) - [j35]Yi Ouyang, Richard Y. Zhang, Javad Lavaei, Pravin Varaiya:
Large-Scale Traffic Signal Offset Optimization. IEEE Trans. Control. Netw. Syst. 7(3): 1176-1187 (2020) - [j34]Ming Jin, Igor Molybog, Reza Mohammadi-Ghazi, Javad Lavaei:
Scalable and Robust State Estimation From Abundant But Untrusted Data. IEEE Trans. Smart Grid 11(3): 1880-1894 (2020) - [c88]Han Feng, Javad Lavaei:
Escaping Locally Optimal Decentralized Control Polices via Damping. ACC 2020: 50-57 - [c87]SangWoo Park, Elizabeth Glista, Javad Lavaei, Somayeh Sojoudi:
Homotopy Method for Finding the Global Solution of Post-contingency Optimal Power Flow. ACC 2020: 1830-1837 - [c86]Sangwoo Park, Elizabeth Glista, Javad Lavaei, Somayeh Sojoudi:
Homotopy Method for Finding the Global Solution of Post-contingency Optimal Power Flow. ACC 2020: 3126-3133 - [c85]Salar Fattahi, Cédric Josz, Reza Mohammadi-Ghazi, Javad Lavaei, Somayeh Sojoudi:
Absence of Spurious Local Trajectories in Time-Varying Optimization: A Control-Theoretic Perspective. CCTA 2020: 140-147 - [c84]Yingjie Bi, Javad Lavaei:
Identifying the Connectivity of Feasible Regions for Optimal Decentralized Control Problems. CDC 2020: 1810-1817 - [c83]Han Feng, Haixiang Zhang, Javad Lavaei:
A Dynamical System Perspective for Escaping Sharp Local Minima in Equality Constrained Optimization Problems. CDC 2020: 4255-4261 - [i8]Igor Molybog, Javad Lavaei:
Global Convergence of MAML for LQR. CoRR abs/2006.00453 (2020)
2010 – 2019
- 2019
- [j33]Richard Y. Zhang, Somayeh Sojoudi, Javad Lavaei:
Sharp Restricted Isometry Bounds for the Inexistence of Spurious Local Minima in Nonconvex Matrix Recovery. J. Mach. Learn. Res. 20: 114:1-114:34 (2019) - [j32]Somayeh Sojoudi, Salar Fattahi, Javad Lavaei:
Convexification of generalized network flow problem. Math. Program. 173(1-2): 353-391 (2019) - [j31]Salar Fattahi, Ghazal Fazelnia, Javad Lavaei, Murat Arcak:
Transformation of Optimal Centralized Controllers Into Near-Globally Optimal Static Distributed Controllers. IEEE Trans. Autom. Control. 64(1): 66-80 (2019) - [j30]Ming Jin, Javad Lavaei, Karl Henrik Johansson:
Power Grid AC-Based State Estimation: Vulnerability Analysis Against Cyber Attacks. IEEE Trans. Autom. Control. 64(5): 1784-1799 (2019) - [j29]Ramtin Madani, Javad Lavaei, Ross Baldick:
Convexification of Power Flow Equations in the Presence of Noisy Measurements. IEEE Trans. Autom. Control. 64(8): 3101-3116 (2019) - [j28]Richard Y. Zhang, Javad Lavaei, Ross Baldick:
Spurious Local Minima in Power System State Estimation. IEEE Trans. Control. Netw. Syst. 6(3): 1086-1096 (2019) - [c82]Igor Molybog, Javad Lavaei:
On Sampling Complexity of the Semidefinite Affine Rank Feasibility Problem. AAAI 2019: 1568-1575 - [c81]Han Feng, Javad Lavaei:
On the Exponential Number of Connected Components for the Feasible Set of Optimal Decentralized Control Problems. ACC 2019: 1430-1437 - [c80]SangWoo Park, Reza Mohammadi-Ghazi, Javad Lavaei:
Topology Error Detection and Robust State Estimation Using Nonlinear Least Absolute Value. ACC 2019: 5505-5512 - [c79]Ming Jin, Igor Molybog, Reza Mohammadi-Ghazi, Javad Lavaei:
Towards Robust and Scalable Power System State Estimation. CDC 2019: 3245-3252 - [c78]Sangwoo Park, Richard Y. Zhang, Javad Lavaei, Ross Baldick:
Monotonicity Between Phase Angles and Power Flow and Its Implications for the Uniqueness of Solutions. HICSS 2019: 1-10 - [i7]Richard Y. Zhang, Somayeh Sojoudi, Javad Lavaei:
Sharp Restricted Isometry Bounds for the Inexistence of Spurious Local Minima in Nonconvex Matrix Recovery. CoRR abs/1901.01631 (2019) - [i6]Yi Ouyang, Richard Y. Zhang, Javad Lavaei, Pravin Varaiya:
Large-Scale Traffic Signal Offset Optimization. CoRR abs/1911.08368 (2019) - [i5]Yuhao Ding, Javad Lavaei, Murat Arcak:
Escaping spurious local minimum trajectories in online time-varying nonconvex optimization. CoRR abs/1912.00561 (2019) - 2018
- [j27]Yu Zhang, Ramtin Madani, Javad Lavaei:
Conic Relaxations for Power System State Estimation With Line Measurements. IEEE Trans. Control. Netw. Syst. 5(3): 1193-1205 (2018) - [j26]Ramtin Madani, Abdulrahman Kalbat, Javad Lavaei:
A Low-Complexity Parallelizable Numerical Algorithm for Sparse Semidefinite Programming. IEEE Trans. Control. Netw. Syst. 5(4): 1898-1909 (2018) - [c77]Georgios Darivianakis, Salar Fattahi, John Lygeros, Javad Lavaei:
High-Performance Cooperative Distributed Model Predictive Control for Linear Systems. ACC 2018: 2318-2325 - [c76]Yi Ouyang, Richard Y. Zhang, Javad Lavaei, Pravin Varaiya:
Conic Approximation with Provable Guarantee for Traffic Signal Offset Optimization. CDC 2018: 229-236 - [c75]Igor Molybog, Ramtin Madani, Javad Lavaei:
Conic Optimization for Robust Quadratic Regression: Deterministic Bounds and Statistical Analysis. CDC 2018: 841-848 - [c74]Richard Y. Zhang, Javad Lavaei:
Sparse Semidefinite Programs with Near-Linear Time Complexity. CDC 2018: 1624-1631 - [c73]Han Feng, Javad Lavaei:
A Convex Approximation of Optimal Distributed Controller in Frequency Domain. CDC 2018: 3189-3195 - [c72]Hamid Mahboubi, Javad Lavaei:
Analysis of Semidefinite Programming Relaxation of Optimal Power Flow for Cyclic Networks. CDC 2018: 3203-3210 - [c71]Ming Jin, Javad Lavaei:
Control-Theoretic Analysis of Smoothness for Stability-Certified Reinforcement Learning. CDC 2018: 6840-6847 - [c70]Richard Y. Zhang, Javad Lavaei:
Efficient Algorithm for Large-and-Sparse LMI Feasibility Problems. CDC 2018: 6868-6875 - [c69]Richard Y. Zhang, Javad Lavaei, Ross Baldick:
Spurious Critical Points in Power System State Estimation. HICSS 2018: 1-10 - [c68]Cédric Josz, Yi Ouyang, Richard Y. Zhang, Javad Lavaei, Somayeh Sojoudi:
A theory on the absence of spurious solutions for nonconvex and nonsmooth optimization. NeurIPS 2018: 2446-2454 - [c67]Richard Y. Zhang, Cédric Josz, Somayeh Sojoudi, Javad Lavaei:
How Much Restricted Isometry is Needed In Nonconvex Matrix Recovery? NeurIPS 2018: 5591-5602 - [i4]Richard Y. Zhang, Cédric Josz, Somayeh Sojoudi, Javad Lavaei:
How Much Restricted Isometry is Needed In Nonconvex Matrix Recovery? CoRR abs/1805.10251 (2018) - [i3]Ming Jin, Javad Lavaei:
Stability-certified reinforcement learning: A control-theoretic perspective. CoRR abs/1810.11505 (2018) - 2017
- [j25]Ramtin Madani, Somayeh Sojoudi, Ghazal Fazelnia, Javad Lavaei:
Finding Low-rank Solutions of Sparse Linear Matrix Inequalities using Convex Optimization. SIAM J. Optim. 27(2): 725-758 (2017) - [j24]Ghazal Fazelnia, Ramtin Madani, Abdulrahman Kalbat, Javad Lavaei:
Convex Relaxation for Optimal Distributed Control Problems. IEEE Trans. Autom. Control. 62(1): 206-221 (2017) - [j23]Javad Lavaei, Steven H. Low, Ross Baldick, Baosen Zhang, Daniel K. Molzahn, Florian Dörfler, Henrik Sandberg:
Guest Editorial Distributed Control and Efficient Optimization Methods for Smart Grid. IEEE Trans. Smart Grid 8(6): 2939-2940 (2017) - [j22]Daniel K. Molzahn, Florian Dörfler, Henrik Sandberg, Steven H. Low, Sambuddha Chakrabarti, Ross Baldick, Javad Lavaei:
A Survey of Distributed Optimization and Control Algorithms for Electric Power Systems. IEEE Trans. Smart Grid 8(6): 2941-2962 (2017) - [c66]Ming Jin, Javad Lavaei, Karl Henrik Johansson:
A semidefinite programming relaxation under false data injection attacks against power grid AC state estimation. Allerton 2017: 236-243 - [c65]Salar Fattahi, Javad Lavaei:
On the convexity of optimal decentralized control problem and sparsity path. ACC 2017: 3359-3366 - [c64]Salar Fattahi, Javad Lavaei, Alper Atamtürk:
Promises of conic relaxations in optimal transmission switching of power systems. CDC 2017: 3238-3245 - [c63]Salar Fattahi, Javad Lavaei, Murat Arcak:
A scalable method for designing distributed controllers for systems with unknown initial states. CDC 2017: 4739-4749 - [c62]Richard Y. Zhang, Javad Lavaei:
Modified interior-point method for large-and-sparse low-rank semidefinite programs. CDC 2017: 5640-5647 - [c61]Ramtin Madani, Javad Lavaei, Ross Baldick, Alper Atamtürk:
Power System State Estimation and Bad Data Detection by Means of Conic Relaxation. HICSS 2017: 1-10 - 2016
- [j21]Ali Tajer, Ian Dobson, Soummya Kar, Javad Lavaei, Le Xie:
Guest Editorial The Theory of Complex Systems With Applications to Smart Grid Operations. IEEE Trans. Smart Grid 7(4): 1949-1950 (2016) - [c60]Salar Fattahi, Javad Lavaei:
Theoretical guarantees for the design of near globally optimal static distributed controllers. Allerton 2016: 582-589 - [c59]Ramtin Madani, Morteza Ashraphijuo, Javad Lavaei, Ross Baldick:
Power system state estimation with a limited number of measurements. CDC 2016: 672-679 - [c58]Morteza Ashraphijuo, Salar Fattahi, Javad Lavaei, Alper Atamtürk:
A strong semidefinite programming relaxation of the unit commitment problem. CDC 2016: 694-701 - [c57]Yu Zhang, Ramtin Madani, Javad Lavaei:
Power system state estimation with line measurements. CDC 2016: 2403-2410 - [c56]Morteza Ashraphijuo, Ramtin Madani, Javad Lavaei:
Characterization of rank-constrained feasibility problems via a finite number of convex programs. CDC 2016: 6544-6550 - 2015
- [c55]Ramtin Madani, Javad Lavaei, Ross Baldick:
Convexification of power flow problem over arbitrary networks. CDC 2015: 1-8 - [c54]Salar Fattahi, Javad Lavaei:
Convex analysis of generalized flow networks. CDC 2015: 1569-1576 - [c53]Abdulrahman Kalbat, Javad Lavaei:
A fast distributed algorithm for decomposable semidefinite programs. CDC 2015: 1742-1749 - [c52]Salar Fattahi, Ghazal Fazelnia, Javad Lavaei:
Transformation of optimal centralized controllers into near-global static distributed controllers. CDC 2015: 4915-4922 - [c51]Ramtin Madani, Abdulrahman Kalbat, Javad Lavaei:
ADMM for sparse semidefinite programming with applications to optimal power flow problem. CDC 2015: 5932-5939 - [c50]Morteza Ashraphijuo, Ramtin Madani, Javad Lavaei:
Inverse function theorem for polynomial equations using semidefinite programming. CDC 2015: 6589-6596 - 2014
- [j20]Matt Kraning, Eric Chu, Javad Lavaei, Stephen P. Boyd:
Dynamic Network Energy Management via Proximal Message Passing. Found. Trends Optim. 1(2): 73-126 (2014) - [j19]Somayeh Sojoudi, Javad Lavaei:
Exactness of Semidefinite Relaxations for Nonlinear Optimization Problems with Underlying Graph Structure. SIAM J. Optim. 24(4): 1746-1778 (2014) - [c49]Abdulrahman Kalbat, Ramtin Madani, Ghazal Fazelnia, Javad Lavaei:
Efficient convex relaxation for stochastic optimal distributed control problem. Allerton 2014: 589-596 - [c48]Ramtin Madani, Morteza Ashraphijuo, Javad Lavaei:
Promises of conic relaxation for contingency-constrained optimal power flow problem. Allerton 2014: 1064-1071 - [c47]Ghazal Fazelnia, Ramtin Madani, Javad Lavaei:
Convex relaxation for optimal distributed control problem. CDC 2014: 896-903 - [c46]Somayeh Sojoudi, Ramtin Madani, Ghazal Fazelnia, Javad Lavaei:
Graph-theoretic algorithms for polynomial optimization problems. CDC 2014: 2257-2271 - [c45]Ramtin Madani, Ghazal Fazelnia, Somayeh Sojoudi, Javad Lavaei:
Low-rank solutions of matrix inequalities with applications to polynomial optimization and matrix completion problems. CDC 2014: 4328-4335 - 2013
- [c44]Ramtin Madani, Somayeh Sojoudi, Javad Lavaei:
Convex relaxation for optimal power flow problem: Mesh networks. ACSSC 2013: 1375-1382 - [c43]Javad Lavaei:
Optimal decentralized control problem as a rank-constrained optimization. Allerton 2013: 39-45 - [c42]Somayeh Sojoudi, Javad Lavaei:
Study of nonlinear power optimization problems using algebraic graph theory. CAMSAP 2013: 424-427 - [c41]Somayeh Sojoudi, Javad Lavaei:
On the exactness of semidefinite relaxation for nonlinear optimization over graphs: Part I. CDC 2013: 1043-1050 - [c40]Somayeh Sojoudi, Javad Lavaei:
On the exactness of semidefinite relaxation for nonlinear optimization over graphs: Part II. CDC 2013: 1051-1057 - [c39]Somayeh Sojoudi, Javad Lavaei:
Convexification of Generalized Network Flow problem with application to power systems. CDC 2013: 7552-7559 - [c38]Somayeh Sojoudi, Ramtin Madani, Javad Lavaei:
Low-rank solution of convex relaxation for optimal power flow problem. SmartGridComm 2013: 636-641 - [c37]Somayeh Sojoudi, Javad Lavaei:
Convexification of optimal power flow problem by means of phase shifters. SmartGridComm 2013: 756-761 - 2012
- [j18]Javad Lavaei, Richard M. Murray:
Quantized Consensus by Means of Gossip Algorithm. IEEE Trans. Autom. Control. 57(1): 19-32 (2012) - [j17]Javad Lavaei:
Decentralized Implementation of Centralized Controllers for Interconnected Systems. IEEE Trans. Autom. Control. 57(7): 1860-1865 (2012) - [c36]Javad Lavaei, Somayeh Sojoudi:
Competitive equilibria in electricity markets with nonlinearities. ACC 2012: 3081-3088 - [i2]Matt Kraning, Eric Chu, Javad Lavaei, Stephen P. Boyd:
Message Passing for Dynamic Network Energy Management. CoRR abs/1204.1106 (2012) - [i1]Javad Lavaei, David Tse, Baosen Zhang:
Geometry of Power Flows in Tree Networks. CoRR abs/1204.4419 (2012) - 2011
- [j16]Javad Lavaei, Aydin Babakhani, Ali Hajimiri, John C. Doyle:
Solving Large-Scale Hybrid Circuit-Antenna Problems. IEEE Trans. Circuits Syst. I Regul. Pap. 58-I(2): 374-387 (2011) - [c35]Somayeh Sojoudi, Javad Lavaei, Richard M. Murray:
Fault-tolerant controller design with applications in power systems and synthetic biology. ACC 2011: 4135-4142 - [c34]Javad Lavaei:
Zero duality gap for classical opf problem convexifies fundamental nonlinear power problems. ACC 2011: 4566-4573 - 2010
- [j15]Javad Lavaei, Amir G. Aghdam:
Performance improvement of robust controllers for polynomially uncertain systems. Autom. 46(1): 110-115 (2010) - [j14]Javad Lavaei, Somayeh Sojoudi, Amir G. Aghdam:
Pole Assignment With Improved Control Performance by Means of Periodic Feedback. IEEE Trans. Autom. Control. 55(1): 248-252 (2010) - [j13]Javad Lavaei, Somayeh Sojoudi:
Time Complexity of Decentralized Fixed-Mode Verification. IEEE Trans. Autom. Control. 55(4): 971-976 (2010) - [c33]Javad Lavaei, Steven H. Low:
Convexification of optimal power flow problem. Allerton 2010: 223-232 - [c32]Javad Lavaei, Aydin Babakhani, Ali Hajimiri, John C. Doyle:
A study of near-field direct antenna modulation systems using convex optimization. ACC 2010: 1065-1072 - [c31]Javad Lavaei, Somayeh Sojoudi, Richard M. Murray:
Simple delay-based implementation of continuous-time controllers. ACC 2010: 5781-5788 - [c30]Javad Lavaei, Steven H. Low:
Relationship between power loss and network topology in power systems. CDC 2010: 4004-4011 - [c29]Javad Lavaei, Somayeh Sojoudi, Richard M. Murray:
Synthesis of embedded control systems with high sampling frequencies. CDC 2010: 7606-7612 - [c28]Javad Lavaei, Aydin Babakhani, Ali Hajimiri, John C. Doyle:
Passively Controllable Smart Antennas. GLOBECOM 2010: 1-6 - [c27]Javad Lavaei, John C. Doyle, Steven H. Low:
Utility Functionals Associated With Available Congestion Control Algorithms. INFOCOM 2010: 2721-2729
2000 – 2009
- 2009
- [j12]Javad Lavaei, Amir G. Aghdam:
Overlapping control design for multi-channel systems. Autom. 45(5): 1326-1331 (2009) - [j11]Somayeh Sojoudi, Javad Lavaei, Amir G. Aghdam:
Robust controllability and observability degrees of polynomially uncertain systems. Autom. 45(11): 2640-2645 (2009) - [c26]Javad Lavaei, Richard M. Murray:
On quantized consensus by means of gossip algorithm - Part I: Convergence proof. ACC 2009: 394-401 - [c25]Javad Lavaei, Somayeh Sojoudi:
Complexity of checking the existence of a stabilizing decentralized controller. ACC 2009: 1827-1832 - [c24]Javad Lavaei, Richard M. Murray:
On quantized consensus by means of gossip algorithm - Part II: Convergence time. ACC 2009: 2958-2965 - [c23]Javad Lavaei:
A new decentralization technique for interconnected systems. CDC 2009: 958-965 - [c22]Somayeh Sojoudi, Javad Lavaei, Amir G. Aghdam:
Controllability and observability of uncertain systems: A robust measure. CDC 2009: 4180-4186 - [c21]Javad Lavaei, Aydin Babakhani, Ali Hajimiri, John C. Doyle:
Solving large-scale linear circuit problems via convex optimization. CDC 2009: 4977-4984 - [c20]Javad Lavaei, John C. Doyle, Steven H. Low:
Congestion control algorithms from optimal control perspective. CDC 2009: 5402-5408 - [c19]Javad Lavaei, Richard M. Murray:
Quantized consensus via adaptive stochastic gossip algorithm. CDC 2009: 5756-5762 - 2008
- [j10]Javad Lavaei, Amir G. Aghdam:
Control of continuous-time LTI systems by means of structurally constrained controllers. Autom. 44(1): 141-148 (2008) - [j9]Javad Lavaei, Amir G. Aghdam:
Stabilization of decentralized control systems by means of periodic feedback. Autom. 44(4): 1120-1126 (2008) - [j8]Javad Lavaei, Ahmadreza Momeni, Amir G. Aghdam:
LQ suboptimal decentralised controllers with disturbance rejection property for hierarchical systems. Int. J. Control 81(11): 1720-1732 (2008) - [j7]Javad Lavaei, Amir G. Aghdam:
Robust Stability of LTI Systems Over Semialgebraic Sets Using Sum-of-Squares Matrix Polynomials. IEEE Trans. Autom. Control. 53(1): 417-423 (2008) - [j6]Javad Lavaei, Ahmadreza Momeni, Amir G. Aghdam:
A Model Predictive Decentralized Control Scheme With Reduced Communication Requirement for Spacecraft Formation. IEEE Trans. Control. Syst. Technol. 16(2): 268-278 (2008) - [c18]Javad Lavaei, Amir G. Aghdam:
Decentralized pole assignment for interconnected systems. ACC 2008: 3601-3607 - [c17]Javad Lavaei, Amir G. Aghdam:
LQ robust controllers for polynomially uncertain systems. CDC 2008: 2244-2251 - 2007
- [j5]Javad Lavaei, Amir G. Aghdam:
Simultaneous LQ control of a set of LTI systems using constrained generalized sampled-data hold functions. Autom. 43(2): 274-280 (2007) - [j4]Javad Lavaei, Amir G. Aghdam:
A graph-theoretic method to find decentralized fixed modes of LTI systems. Autom. 43(12): 2129-2133 (2007) - [j3]Javad Lavaei, Amir G. Aghdam:
Optimal periodic feedback design for continuous-time LTI systems with constrained control structure. Int. J. Control 80(2): 220-230 (2007) - [j2]Javad Lavaei, Amir G. Aghdam:
High-performance decentralized control design for general interconnected systems with applications in cooperative control. Int. J. Control 80(6): 935-951 (2007) - [j1]Somayeh Sojoudi, Javad Lavaei, Amir G. Aghdam:
Robust Stabilizability Verification of Polynomially Uncertain LTI Systems. IEEE Trans. Autom. Control. 52(9): 1721-1726 (2007) - [c16]Javad Lavaei, Amir G. Aghdam:
Characterization of Decentralized and Quotient Fixed Modes via Graph Theory. ACC 2007: 790-795 - [c15]Javad Lavaei, Ahmadreza Momeni, Amir G. Aghdam:
A Cooperative Model Predictive Control Technique for Spacecraft Formation Flying. ACC 2007: 1493-1500 - [c14]Javad Lavaei, Amir G. Aghdam:
On Structurally Constrained Control Design with a Prespecified Form. ACC 2007: 1501-1507 - [c13]Somayeh Sojoudi, Javad Lavaei, Amir G. Aghdam:
Optimal Information Flow Structure for Control of Interconnected Systems. ACC 2007: 1508-1513 - [c12]Javad Lavaei, Somayeh Sojoudi, Amir G. Aghdam:
Stability Criterion for General Proper Systems with Constrained Control Structure. ACC 2007: 1648-1653 - [c11]Javad Lavaei, Somayeh Sojoudi, Amir G. Aghdam:
Pole assignment with improved control performance by means of periodic feedback. CDC 2007: 1082-1087 - [c10]Javad Lavaei, Somayeh Sojoudi, Amir G. Aghdam:
Rational optimization using sum-of-squares techniques. CDC 2007: 4723-4730 - [c9]Javad Lavaei, Ahmadreza Momeni, Amir G. Aghdam:
A near-optimal decentralized servomechanism controller for hierarchical interconnected systems. CDC 2007: 5023-5030 - 2006
- [c8]Javad Lavaei Yanesi, Amir G. Aghdam:
Optimal generalized sampled-data hold functions with a constrained structure. ACC 2006 - [c7]Javad Lavaei Yanesi, Amir G. Aghdam:
High-performance simultaneous stabilizing periodic feedback control with a constrained structure. ACC 2006 - [c6]Javad Lavaei Yanesi, Amir G. Aghdam:
Robust stability of LTI discrete-time systems using sum-of-squares matrix polynomials. ACC 2006: 1-3 - [c5]Javad Lavaei, Amir G. Aghdam:
Decentralized Control Design for Interconnected Systems Based on A Centralized Reference Controller. CDC 2006: 1189-1195 - [c4]Javad Lavaei, Amir G. Aghdam:
A Necessary and Sufficient Condition for Robust Stability of LTI Discrete-Time Systems using Sum-of-Squares Matrix Polynomials. CDC 2006: 2924-2930 - [c3]Javad Lavaei, Amir G. Aghdam:
Elimination of Fixed Modes by Means of High-Performance Constrained Periodic Control. CDC 2006: 4441-4447 - [c2]Javad Lavaei, Ahmadreza Momeni, Amir G. Aghdam:
High-Performance Decentralized Control for Formation Flying with Leader-Follower Structure. CDC 2006: 5947-5954 - [c1]Javad Lavaei, Amir G. Aghdam:
A Necessary and Sufficient Condition for the Existence of a LTI Stabilizing Decentralized Overlapping Controller. CDC 2006: 6179-6186
Coauthor Index
[j58] [c123] [c122] [i31] [i29] [i27] [j55] [j53] [c119] [c115] [c113] [c111] [c108] [c107] [i24] [i20] [i19] [j50] [j49] [c104] [c102] [i16] [j41] [c96] [i13] [i9] [j39] [c87] [c86] [c85] [j33] [j32] [i7] [c68] [c67] [i4] [j25] [j19] [c46] [c45] [c44] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [j14] [j13] [c31] [c29] [j11] [c25] [c22] [j1] [c13] [c12] [c11] [c10]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-12 21:01 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
