Javad Lavaei

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 132

Top Venues

CDC

CoRR

ACC

IEEE Trans. Control. Netw. Syst.

Publications

Vanshaj Khattar, Yuhao Ding, Bilgehan Sel, Javad Lavaei, Ming Jin
A CMDP-within-online framework for Meta-Safe Reinforcement Learning. CoRR (2024)
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 (2024)
Muyan Jiang, Ying Chen, Xin Chen, Javad Lavaei, Anil Aswani
Optimal Contract Design for End-of-Life Care Payments. CoRR (2024)
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) (2024)
Haixiang Zhang, Baturalp Yalcin, Javad Lavaei, Somayeh Sojoudi
A new complexity metric for nonconvex rank-one generalized matrix completion. Math. Program. 207 (1) (2024)
Hyunin Lee, David Abel, Ming Jin, Javad Lavaei, Somayeh Sojoudi
A Black Swan Hypothesis in Markov Decision Process via Irrationality. CoRR (2024)
Hyunin Lee, Ming Jin, Javad Lavaei, Somayeh Sojoudi
Pausing Policy Learning in Non-stationary Reinforcement Learning. CoRR (2024)
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)
Han Feng, Baturalp Yalcin, Javad Lavaei
Learning of Dynamical Systems under Adversarial Attacks - Null Space Property Perspective. ACC (2023)
Donghao Ying, Yuhao Ding, Alec Koppel, Javad Lavaei
Scalable Multi-Agent Reinforcement Learning with General Utilities. CoRR (2023)
Yuhao Ding, Junzi Zhang, Javad Lavaei
Local Analysis of Entropy-Regularized Stochastic Soft-Max Policy Gradient Methods. ECC (2023)
Haixiang Zhang, Ying Chen, Javad Lavaei
Geometric Analysis of Matrix Sensing over Graphs. NeurIPS (2023)
Mengzi Amy Guo, Donghao Ying, Javad Lavaei, Zuo-Jun Max Shen
No-Regret Learning in Dynamic Competition with Reference Effects Under Logit Demand. CoRR (2023)
Baturalp Yalcin, Javad Lavaei, Murat Arcak
Exact Recovery for System Identification with More Corrupt Data than Clean Data. CoRR (2023)
Ziye Ma, Javad Lavaei, Somayeh Sojoudi
Algorithmic Regularization in Tensor Optimization: Towards a Lifted Approach in Matrix Sensing. CoRR (2023)
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) (2023)
Bilgehan Sel, Ahmad 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)
Sangwoo Park, Fernando Gama, Javad Lavaei, Somayeh Sojoudi
Distributed Power System State Estimation Using Graph Convolutional Neural Networks. HICSS (2023)
Eli Brock, Haixiang Zhang, Julie Mulvaney-Kemp, Javad Lavaei, Somayeh Sojoudi
Distributionally Robust Optimization for Nonconvex QCQPs with Stochastic Constraints. CDC (2023)
Ziye Ma, Javad Lavaei, Somayeh Sojoudi
Algorithmic Regularization in Tensor Optimization: Towards a Lifted Approach in Matrix Sensing. NeurIPS (2023)
Vanshaj Khattar, Yuhao Ding, Bilgehan Sel, Javad Lavaei, Ming Jin
A CMDP-within-online framework for Meta-Safe Reinforcement Learning. ICLR (2023)
Baturalp Yalçin, Ziye Ma, Javad Lavaei, Somayeh Sojoudi
Semidefinite Programming versus Burer-Monteiro Factorization for Matrix Sensing. AAAI (2023)
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 (2023)
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) (2023)
Haixiang Zhang, Zeyu Zheng, Javad Lavaei
Gradient-Based Algorithms for Convex Discrete Optimization via Simulation. Oper. Res. 71 (5) (2023)
Yuhao Ding, Javad Lavaei
Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints. AAAI (2023)
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)
Hyunin Lee, Yuhao Ding, Jongmin Lee, Ming Jin, Javad Lavaei, Somayeh Sojoudi
Tempo Adaption in Non-stationary Reinforcement Learning. CoRR (2023)
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)
Hyunin Lee, Yuhao Ding, Jongmin Lee, Ming Jin, Javad Lavaei, Somayeh Sojoudi
Tempo Adaptation in Non-stationary Reinforcement Learning. NeurIPS (2023)
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)
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) (2023)
Yuhao Ding, Javad Lavaei, Murat Arcak
Time-Variation in Online Nonconvex Optimization Enables Escaping From Spurious Local Minima. IEEE Trans. Autom. Control. 68 (1) (2023)
Donghao Ying, Yuhao Ding, Alec Koppel, Javad Lavaei
Scalable Multi-Agent Reinforcement Learning with General Utilities. ACC (2023)
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)
Yuhao Ding, Ming Jin, Javad Lavaei
Non-stationary Risk-Sensitive Reinforcement Learning: Near-Optimal Dynamic Regret, Adaptive Detection, and Separation Design. AAAI (2023)
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 (2023)
Yingjie Bi, Javad Lavaei
On the Connectivity Properties of Feasible Regions of Optimal Decentralized Control Problems. IEEE Trans. Control. Netw. Syst. 9 (2) (2022)
Ziye Ma, Yingjie Bi, Javad Lavaei, Somayeh Sojoudi
Sharp Restricted Isometry Property Bounds for Low-Rank Matrix Recovery Problems with Corrupted Measurements. AAAI (2022)
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)
Baturalp Yalcin, Ziye Ma, Javad Lavaei, Somayeh Sojoudi
Semidefinite Programming versus Burer-Monteiro Factorization for Matrix Sensing. CoRR (2022)
Donghao Ying, Mengzi Guo, Yuhao Ding, Javad Lavaei, Zuo-Jun Shen
Policy-based Primal-Dual Methods for Convex Constrained Markov Decision Processes. CoRR (2022)
Donghao Ying, Yuhao Ding, Javad Lavaei
A Dual Approach to Constrained Markov Decision Processes with Entropy Regularization. AISTATS (2022)
Yuhao Ding, Ming Jin, Javad Lavaei
Non-stationary Risk-sensitive Reinforcement Learning: Near-optimal Dynamic Regret, Adaptive Detection, and Separation Design. CoRR (2022)
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 (2022)
Han Feng, Javad Lavaei
Damping With Varying Regularization in Optimal Decentralized Control. IEEE Trans. Control. Netw. Syst. 9 (1) (2022)
Han Feng, Baturalp Yalcin, Javad Lavaei
Learning of Dynamical Systems under Adversarial Attacks - Null Space Property Perspective. CoRR (2022)
Yuhao Ding, Junzi Zhang, Javad Lavaei
On the Global Optimum Convergence of Momentum-based Policy Gradient. AISTATS (2022)
Haixiang Zhang, Sangwoo Park, Javad Lavaei, Ross Baldick
Uniqueness of Power Flow Solutions Using Graph-Theoretic Notions. IEEE Trans. Control. Netw. Syst. 9 (1) (2022)
Yuhao Ding, Javad Lavaei
Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints. CoRR (2022)
Yingjie Bi, Haixiang Zhang, Javad Lavaei
Local and Global Linear Convergence of General Low-Rank Matrix Recovery Problems. AAAI (2022)
Igor Molybog, Somayeh Sojoudi, Javad Lavaei
Role of sparsity and structure in the optimization landscape of non-convex matrix sensing. Math. Program. 193 (1) (2022)
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) (2021)
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 (2021)
Yuhao Ding, Junzi Zhang, Javad Lavaei
Beyond Exact Gradients: Convergence of Stochastic Soft-Max Policy Gradient Methods with Entropy Regularization. CoRR (2021)
Richard Y. Zhang, Javad Lavaei
Sparse semidefinite programs with guaranteed near-linear time complexity via dualized clique tree conversion. Math. Program. 188 (1) (2021)
Yuhao Ding, Javad Lavaei
Structured Projection-free Online Convex Optimization with Multi-point Bandit Feedback. CDC (2021)
Yuhao Ding, Junzi Zhang, Javad Lavaei
On the Global Convergence of Momentum-based Policy Gradient. CoRR (2021)
Sangwoo Park, Reza Mohammadi-Ghazi, Javad Lavaei
Nonlinear Least Absolute Value Estimator for Topology Error Detection and Robust State Estimation. IEEE Access 9 (2021)
Ming Jin, Javad Lavaei, Somayeh Sojoudi, Ross Baldick
Boundary Defense Against Cyber Threat for Power System State Estimation. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Yuhao Ding, Javad Lavaei, Murat Arcak
Escaping Spurious Local Minimum Trajectories in Online Time-varying Nonconvex Optimization. ACC (2021)
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) (2021)
Yingjie Bi, Javad Lavaei
On the Absence of Spurious Local Minima in Nonlinear Low-Rank Matrix Recovery Problems. AISTATS (2021)
Haixiang Zhang, Zeyu Zheng, Javad Lavaei
Stochastic $L^\natural$-convex Function Minimization. NeurIPS (2021)
Igor Molybog, Somayeh Sojoudi, Javad Lavaei
No Spurious Solutions in Non-convex Matrix Sensing: Structure Compensates for Isometry. ACC (2021)
Yuhao Ding, Yingjie Bi, Javad Lavaei
Analysis of Spurious Local Solutions of Optimal Control Problems: One-Shot Optimization Versus Dynamic Programming. ACC (2021)
Ali Yekkehkhany, Han Feng, Javad Lavaei
Adversarial Attacks on Computation of the Modified Policy Iteration Method. CDC (2021)
Haixiang Zhang, Yingjie Bi, Javad Lavaei
General Low-rank Matrix Optimization: Geometric Analysis and Sharper Bounds. NeurIPS (2021)
Han Feng, Javad Lavaei
Learning of Dynamical Systems under Adversarial Attacks. CDC (2021)
Donghao Ying, Yuhao Ding, Javad Lavaei
A Dual Approach to Constrained Markov Decision Processes with Entropy Regularization. CoRR (2021)
Igor Molybog, Javad Lavaei
When Does MAML Objective Have Benign Landscape? CCTA (2021)
Sangwoo Park, Julie Mulvaney-Kemp, Ming Jin, Javad Lavaei
Diminishing Regret for Online Nonconvex Optimization. ACC (2021)
Ziye Ma, Yingjie Bi, Javad Lavaei, Somayeh Sojoudi
Sharp Restricted Isometry Property Bounds for Low-rank Matrix Recovery Problems with Corrupted Measurements. CoRR (2021)
Igor Molybog, Ramtin Madani, Javad Lavaei
Conic Optimization for Quadratic Regression Under Sparse Noise. J. Mach. Learn. Res. 21 (2020)
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) (2020)
Han Feng, Javad Lavaei
Escaping Locally Optimal Decentralized Control Polices via Damping. ACC (2020)
Han Feng, Javad Lavaei
Connectivity Properties of the Set of Stabilizing Static Decentralized Controllers. SIAM J. Control. Optim. 58 (5) (2020)
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) (2020)
Ming Jin, Javad Lavaei
Stability-Certified Reinforcement Learning: A Control-Theoretic Perspective. IEEE Access 8 (2020)
Igor Molybog, Javad Lavaei
Global Convergence of MAML for LQR. CoRR (2020)
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)
Ramtin Madani, Mohsen Kheirandishfard, Javad Lavaei, Alper Atamtürk
Penalized semidefinite programming for quadratically-constrained quadratic optimization. J. Glob. Optim. 78 (3) (2020)
Yi Ouyang, Richard Y. Zhang, Javad Lavaei, Pravin Varaiya
Large-Scale Traffic Signal Offset Optimization. IEEE Trans. Control. Netw. Syst. 7 (3) (2020)
Yingjie Bi, Javad Lavaei
Identifying the Connectivity of Feasible Regions for Optimal Decentralized Control Problems. CDC (2020)
Sangwoo Park, Elizabeth Glista, Javad Lavaei, Somayeh Sojoudi
Homotopy Method for Finding the Global Solution of Post-contingency Optimal Power Flow. ACC (2020)
Han Feng, Haixiang Zhang, Javad Lavaei
A Dynamical System Perspective for Escaping Sharp Local Minima in Equality Constrained Optimization Problems. CDC (2020)
Sangwoo Park, Elizabeth Glista, Javad Lavaei, Somayeh Sojoudi
Homotopy Method for Finding the Global Solution of Post-contingency Optimal Power Flow. ACC (2020)
Igor Molybog, Javad Lavaei
On Sampling Complexity of the Semidefinite Affine Rank Feasibility Problem. AAAI (2019)
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 (2019)
Yi Ouyang, Richard Y. Zhang, Javad Lavaei, Pravin Varaiya
Large-Scale Traffic Signal Offset Optimization. CoRR (2019)
Ming Jin, Javad Lavaei, Karl Henrik Johansson
Power Grid AC-Based State Estimation: Vulnerability Analysis Against Cyber Attacks. IEEE Trans. Autom. Control. 64 (5) (2019)
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) (2019)
Han Feng, Javad Lavaei
On the Exponential Number of Connected Components for the Feasible Set of Optimal Decentralized Control Problems. ACC (2019)
Ming Jin, Igor Molybog, Reza Mohammadi-Ghazi, Javad Lavaei
Towards Robust and Scalable Power System State Estimation. CDC (2019)
Richard Y. Zhang, Javad Lavaei, Ross Baldick
Spurious Local Minima in Power System State Estimation. IEEE Trans. Control. Netw. Syst. 6 (3) (2019)
Somayeh Sojoudi, Salar Fattahi, Javad Lavaei
Convexification of generalized network flow problem. Math. Program. 173 (1-2) (2019)
Yuhao Ding, Javad Lavaei, Murat Arcak
Escaping spurious local minimum trajectories in online time-varying nonconvex optimization. CoRR (2019)
Richard Y. Zhang, Somayeh Sojoudi, Javad Lavaei
Sharp Restricted Isometry Bounds for the Inexistence of Spurious Local Minima in Nonconvex Matrix Recovery. CoRR (2019)
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)
Ramtin Madani, Javad Lavaei, Ross Baldick
Convexification of Power Flow Equations in the Presence of Noisy Measurements. IEEE Trans. Autom. Control. 64 (8) (2019)

Javad Lavaei.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Javad Lavaei