James Anderson

113 papers A* 5A 1C 12Journal 70Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning Invariant Visual Representations for Planning with Joint-Embedding Predictive World Models. CoRR Leonardo F. Toso, Davit Shadunts, Yunyang Lu, Nihal Sharma, Donglin Zhan, Nam H. Nguyen, James Anderson
2026	J	`jnl`	Model-Free Learning with Heterogeneous Dynamical Systems: A Federated LQR Approach. Trans. Mach. Learn. Res. Han Wang, Leonardo Felipe Toso, Aritra Mitra, James Anderson
2025	J	`jnl`	A Decision-Focused Predict-then-Bid Framework for Strategic Energy Storage. CoRR Ming Yi, Yiqian Wu, Saud Alghumayjan, James Anderson, Bolun Xu
2025	J	`jnl`	Adversarially Robust Multitask Adaptive Control. CoRR Kasra Fallah, Leonardo F. Toso, James Anderson
2025	J	`jnl`	Clustering Then Estimation of Spatio-Temporal Self-Exciting Processes. INFORMS J. Comput. Haoting Zhang, Donglin Zhan, James Anderson, Rhonda Righter, Zeyu Zheng
2025	—	`conf`	Collaborative Bayesian Optimization via Wasserstein Barycenters. CDC Donglin Zhan, Haoting Zhang, Rhonda Righter, Zeyu Zheng, James Anderson
2025	J	`jnl`	Collaborative Bayesian Optimization via Wasserstein Barycenters. CoRR Donglin Zhan, Haoting Zhang, Rhonda Righter, Zeyu Zheng, James Anderson
2025	—	`conf`	Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning. CDC Donglin Zhan, Leonardo F. Toso, James Anderson
2025	J	`jnl`	Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning. CoRR Donglin Zhan, Leonardo F. Toso, James Anderson
2025	J	`jnl`	Distributed, Sustainable, and Secure Energy Future Through IT Modernization. Computer Diman Zad Tootaghaj, Yiqian Wu, Ting He, Nilanjan Ray Chaudhuri, Dejan S. Milojicic, Luka V. Strezoski, James Anderson, Puneet Sharma
2025	J	`jnl`	Energy Storage Arbitrage Under Price Uncertainty: Market Risks and Opportunities. CoRR Yiqian Wu, Bolun Xu, James Anderson
2025	—	`conf`	Learning Stabilizing Policies via an Unstable Subspace Representation. CDC Leonardo F. Toso, Lintao Ye, James Anderson
2025	J	`jnl`	Learning Stabilizing Policies via an Unstable Subspace Representation. CoRR Leonardo F. Toso, Lintao Ye, James Anderson
2025	J	`jnl`	Learning-Based Detection of Intraday False Data Injection Attacks on DER Dispatch Signals. IEEE Trans. Smart Grid Yiqian Wu, Jip Kim, Siddharth Bhela, Gil Zussman, James Anderson
2025	J	`jnl`	On the Gradient Domination of the LQG Problem. CoRR Kasra Fallah, Leonardo F. Toso, James Anderson
2025	J	`jnl`	Online Energy Storage Arbitrage under Imperfect Predictions: A Conformal Risk-Aware Approach. CoRR Yiqian Wu, Ming Yi, Bolun Xu, James Anderson
2025	J	`jnl`	Physics-informed learning under mixing: How physical knowledge speeds up learning. CoRR Anna Scampicchio, Leonardo F. Toso, Rahel Rickenbach, James Anderson, Melanie N. Zeilinger
2025	J	`jnl`	Policy Gradient Bounds in Multitask LQR. CoRR Charis J. Stamouli, Leonardo F. Toso, Anastasios Tsiamis, George J. Pappas, James Anderson
2025	J	`jnl`	Policy Gradient Bounds in Multitask LQR. IEEE Control. Syst. Lett. Charis J. Stamouli, Leonardo F. Toso, Anastasios Tsiamis, George J. Pappas, James Anderson
2025	A*	`conf`	Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control. AAAI Bruce D. Lee, Leonardo F. Toso, Thomas T. Zhang, James Anderson, Nikolai Matni
2024	—	`conf`	Asynchronous Heterogeneous Linear Quadratic Regulator Design. CDC Leonardo F. Toso, Han Wang, James Anderson
2024	—	`conf`	Data-Efficient and Robust Task Selection for Meta-Learning. CVPR Workshops Donglin Zhan, James Anderson
2024	J	`jnl`	Data-Efficient and Robust Task Selection for Meta-Learning. CoRR Donglin Zhan, James Anderson
2024	J	`jnl`	Federated TD Learning with Linear Function Approximation under Environmental Heterogeneity. Trans. Mach. Learn. Res. Han Wang, Aritra Mitra, Hamed Hassani, George J. Pappas, James Anderson
2024	A*	`conf`	Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning. ICLR Chenyu Zhang, Han Wang, Aritra Mitra, James Anderson
2024	J	`jnl`	Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning. CoRR Chenyu Zhang, Han Wang, Aritra Mitra, James Anderson
2024	—	`conf`	Market Power and Withholding Behavior of Energy Storage Units. CDC Yiqian Wu, Bolun Xu, James Anderson
2024	J	`jnl`	Market Power and Withholding Behavior of Energy Storage Units. CoRR Yiqian Wu, Bolun Xu, James Anderson
2024	A	`conf`	Meta-Adaptive Stock Movement Prediction with Two-Stage Representation Learning. SDM Donglin Zhan, Yusheng Dai, Yiwei Dong, Jinghai He, Zhenyi Wang, James Anderson
2024	J	`jnl`	Meta-Learning Linear Quadratic Regulators: A Policy Gradient MAML Approach for the Model-free LQR. CoRR Leonardo F. Toso, Donglin Zhan, James Anderson, Han Wang
2024	—	`conf`	Meta-learning linear quadratic regulators: A policy gradient MAML approach for model-free LQR. L4DC Leonardo Felipe Toso, Donglin Zhan, James Anderson, Han Wang
2024	A*	`conf`	Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments. ICML Han Wang, Sihong He, Zhili Zhang, Fei Miao, James Anderson
2024	J	`jnl`	Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments. CoRR Han Wang, Sihong He, Zhili Zhang, Fei Miao, James Anderson
2024	C	`conf`	Oracle Complexity Reduction for Model-Free LQR: A Stochastic Variance-Reduced Policy Gradient Approach. ACC Leonardo F. Toso, Han Wang, James Anderson
2024	J	`jnl`	Protection Against Graph-Based False Data Injection Attacks on Power Systems. IEEE Trans. Control. Netw. Syst. Gal Morgenstern, Jip Kim, James Anderson, Gil Zussman, Tirza Routtenberg
2024	J	`jnl`	Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control. CoRR Bruce D. Lee, Leonardo F. Toso, Thomas T. C. K. Zhang, James Anderson, Nikolai Matni
2024	A*	`conf`	Sample-Efficient Linear Representation Learning from Non-IID Non-Isotropic Data. ICLR Thomas T. C. K. Zhang, Leonardo Felipe Toso, James Anderson, Nikolai Matni
2023	J	`jnl`	Distributed and Localized Model Predictive Control - Part II: Theoretical Guarantees. IEEE Trans. Control. Netw. Syst. Carmen Amo Alonso, Jing Shuang Li, Nikolai Matni, James Anderson
2023	J	`jnl`	Distributed and Localized Model-Predictive Control-Part I: Synthesis and Implementation. IEEE Trans. Control. Netw. Syst. Carmen Amo Alonso, Jing Shuang Li, James Anderson, Nikolai Matni
2023	—	`conf`	FedSysID: A Federated Approach to Sample-Efficient System Identification. L4DC Han Wang, Leonardo Felipe Toso, James Anderson
2023	J	`jnl`	Federated Temporal Difference Learning with Linear Function Approximation under Environmental Heterogeneity. CoRR Han Wang, Aritra Mitra, Hamed Hassani, George J. Pappas, James Anderson
2023	A*	`conf`	Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates. NeurIPS Guangchen Lan, Han Wang, James Anderson, Christopher G. Brinton, Vaneet Aggarwal
2023	J	`jnl`	Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates. CoRR Guangchen Lan, Han Wang, James Anderson, Christopher G. Brinton, Vaneet Aggarwal
2023	C	`conf`	Invited Paper: Detection of False Data Injection Attacks in Power Systems Using a Secured-Sensors and Graph-Based Method. SSS Gal Morgenstern, Lital Dabush, Jip Kim, James Anderson, Gil Zussman, Tirza Routtenberg
2023	—	`conf`	Learning Personalized Models with Clustered System Identification. CDC Leonardo F. Toso, Han Wang, James Anderson
2023	J	`jnl`	Learning Personalized Models with Clustered System Identification. CoRR Leonardo Felipe Toso, Han Wang, James Anderson
2023	J	`jnl`	Meta-Learning Operators to Optimality from Multi-Task Non-IID Data. CoRR Thomas T. C. K. Zhang, Leonardo Felipe Toso, James Anderson, Nikolai Matni
2023	J	`jnl`	Oracle Complexity Reduction for Model-free LQR: A Stochastic Variance-Reduced Policy Gradient Approach. CoRR Leonardo Felipe Toso, Han Wang, James Anderson
2023	J	`jnl`	Protection Against Graph-Based False Data Injection Attacks on Power Systems. CoRR Gal Morgenstern, Jip Kim, James Anderson, Gil Zussman, Tirza Routtenberg
2022	J	`jnl`	Distributed and Localized Model Predictive Control. Part II: Theoretical Guarantees. CoRR Carmen Amo Alonso, Jing Shuang Li, Nikolai Matni, James Anderson
2022	—	`conf`	Distributionally Robust Decision Making Leveraging Conditional Distributions. CDC Yuxiao Chen, Jip Kim, James Anderson
2022	J	`jnl`	Distributionally Robust Decision Making Leveraging Conditional Distributions. CoRR Yuxiao Chen, Jip Kim, James Anderson
2022	J	`jnl`	FedADMM: A Federated Primal-Dual Algorithm Allowing Partial Participation. CoRR Han Wang, Siddartha Marella, James Anderson
2022	—	`conf`	FedADMM: A federated primal-dual algorithm allowing partial participation. CDC Han Wang, Siddartha Marella, James Anderson
2022	J	`jnl`	FedSysID: A Federated Approach to Sample-Efficient System Identification. CoRR Han Wang, Leonardo Felipe Toso, James Anderson
2022	—	`conf`	Identification of Intraday False Data Injection Attack on DER Dispatch Signals. SmartGridComm Jip Kim, Siddharth Bhela, James Anderson, Gil Zussman
2022	J	`jnl`	Identification of Intraday False Data Injection Attack on DER Dispatch Signals. CoRR Jip Kim, Siddharth Bhela, James Anderson, Gil Zussman
2022	C	`conf`	Large-Scale System Identification Using a Randomized SVD. ACC Han Wang, James Anderson
2022	—	`conf`	Learning Linear Models Using Distributed Iterative Hessian Sketching. L4DC Han Wang, James Anderson
2022	J	`jnl`	Mitigation-Aware Bidding Strategies in Electricity Markets. CoRR Yiqian Wu, Jip Kim, James Anderson
2021	J	`jnl`	Large-Scale System Identification Using a Randomized SVD. CoRR Han Wang, James Anderson
2021	J	`jnl`	Learning Linear Models Using Distributed Iterative Hessian Sketching. CoRR Han Wang, James Anderson
2021	C	`conf`	Localized and Distributed H ACC Jing Yu, Yuh-Shyang Wang, James Anderson
2021	J	`jnl`	Safety-Critical Control Synthesis for Network Systems With Control Barrier Functions and Assume-Guarantee Contracts. IEEE Trans. Control. Netw. Syst. Yuxiao Chen, James Anderson, Karanjit Kalsi, Aaron D. Ames, Steven H. Low
2021	J	`jnl`	The Optimal Power Flow Operator: Theory and Computation. IEEE Trans. Control. Netw. Syst. Fengyu Zhou, James Anderson, Steven H. Low
2020	C	`conf`	Deployment Architectures for Cyber-Physical Control Systems. ACC Shih-Hao Tseng, James Anderson
2020	—	`conf`	Explicit Distributed and Localized Model Predictive Control via System Level Synthesis. CDC Carmen Amo Alonso, Nikolai Matni, James Anderson
2020	J	`jnl`	Explicit Distributed and Localized Model Predictive Control via System Level Synthesis. CoRR Carmen Amo Alonso, Nikolai Matni, James Anderson
2020	J	`jnl`	Localized and Distributed H2 State Feedback Control. CoRR Jing Yu, Yuh-Shyang Wang, James Anderson
2020	J	`jnl`	Synthesis to Deployment: Cyber-Physical Control Architectures. CoRR Shih-Hao Tseng, James Anderson
2020	C	`conf`	Worst-Case Sensitivity of DC Optimal Power Flow Problems. ACC James Anderson, Fengyu Zhou, Steven H. Low
2020	J	`jnl`	Worst-Case Sensitivity of DC Optimal Power Flow Problems. CoRR James Anderson, Fengyu Zhou, Steven H. Low
2019	C	`conf`	Compositional Set Invariance in Network Systems with Assume-Guarantee Contracts. ACC Yuxiao Chen, James Anderson, Karan Kalsi, Steven H. Low, Aaron D. Ames
2019	J	`jnl`	Deployment Architectures for Cyber-Physical Control Systems. CoRR Shih-Hao Tseng, James Anderson
2019	C	`conf`	Differential Privacy of Aggregated DC Optimal Power Flow Data. ACC Fengyu Zhou, James Anderson, Steven H. Low
2019	J	`jnl`	Differential Privacy of Aggregated DC Optimal Power Flow Data. CoRR Fengyu Zhou, James Anderson, Steven H. Low
2019	J	`jnl`	Safety-Critical Control Synthesis for network systems with Control Barrier Functions and Assume-Guarantee Contracts. CoRR Yuxiao Chen, James Anderson, Karan Kalsi, Aaron D. Ames, Steven H. Low
2019	J	`jnl`	Sparsity Preserving Discretization With Error Bounds. CoRR James Anderson, Nikolai Matni, Yuxiao Chen
2019	—	`conf`	System Level Synthesis with State and Input Constraints. CDC Yuxiao Chen, James Anderson
2019	J	`jnl`	System Level Synthesis with State and Input Constraints. CoRR Yuxiao Chen, James Anderson
2019	J	`jnl`	System Level Synthesis. CoRR James Anderson, John C. Doyle, Steven H. Low, Nikolai Matni
2019	J	`jnl`	System level synthesis. Annu. Rev. Control. James Anderson, John C. Doyle, Steven H. Low, Nikolai Matni
2019	J	`jnl`	The Optimal Power Flow Operator: Theory and Computation. CoRR Fengyu Zhou, James Anderson, Steven H. Low
2018	J	`jnl`	Compositional Set Invariance in Network Systems with Assume-Guarantee Contracts. CoRR Yuxiao Chen, James Anderson, Karan Kalsi, Steven H. Low, Aaron D. Ames
2017	J	`jnl`	Distance to the Nearest Stable Metzler Matrix. CoRR James Anderson
2017	—	`conf`	Distance to the nearest stable Metzler matrix. CDC James Anderson
2017	J	`jnl`	Region of attraction estimation using invariant sets and rational Lyapunov functions. Autom. Giorgio Valmorbida, James Anderson
2017	—	`conf`	Scalable system level synthesis for virtually localizable systems. CDC Nikolai Matni, Yuh-Shyang Wang, James Anderson
2017	J	`jnl`	Structured Projection-Based Model Reduction With Application to Stochastic Biochemical Networks. IEEE Trans. Autom. Control. Aivar Sootla, James Anderson
2017	—	`conf`	Structured state space realizations for SLS distributed controllers. Allerton James Anderson, Nikolai Matni
2017	—	`conf`	System level synthesis: A tutorial. CDC John C. Doyle, Nikolai Matni, Yuh Shyang Wang, James Anderson, Steven H. Low
2016	C	`conf`	A new approach for estimating the robustness of parameter estimates to measurement noise. ACC Dhruva V. Raman, James Anderson, Antonis Papachristodoulou
2016	J	`jnl`	On Existence of Solutions to Structured Lyapunov Inequalities. CoRR Aivar Sootla, James Anderson
2016	C	`conf`	On existence of solutions to structured lyapunov inequalities. ACC Aivar Sootla, James Anderson
2016	J	`jnl`	On the performance of nonlinear dynamical systems under parameter perturbation. Autom. Dhruva V. Raman, James Anderson, Antonis Papachristodoulou
2016	J	`jnl`	Region of Attraction Estimation Using Invariant Sets and Rational Lyapunov Functions. CoRR Giorgio Valmorbida, James Anderson
2015	J	`jnl`	Bounds for Input- and State-to-Output Properties of Uncertain Linear Systems. CoRR Giorgio Valmorbida, Dhruva V. Raman, James Anderson
2015	J	`jnl`	Designing Genetic Feedback Controllers. IEEE Trans. Biomed. Circuits Syst. Andreas W. K. Harris, James Dolan, Ciaran L. Kelly, James Anderson, Antonis Papachristodoulou
2015	J	`jnl`	Structured Projection-Based Model Reduction with Application to Stochastic Biochemical Networks. CoRR Aivar Sootla, James Anderson
2014	J	`jnl`	On Projection-Based Model Reduction of Biochemical Networks- Part I: The Deterministic Case. CoRR Aivar Sootla, James Anderson
2014	J	`jnl`	On Projection-Based Model Reduction of Biochemical Networks- Part II: The Stochastic Case. CoRR Aivar Sootla, James Anderson
2014	—	`conf`	On projection-based model reduction of biochemical networks part I: The deterministic case. CDC Aivar Sootla, James Anderson
2014	—	`conf`	On projection-based model reduction of biochemical networks part II: The stochastic case. CDC Aivar Sootla, James Anderson
2014	C	`conf`	Region of attraction analysis via invariant sets. ACC Giorgio Valmorbida, James Anderson
2013	J	`jnl`	SOSTOOLS Version 3.00 Sum of Squares Optimization Toolbox for MATLAB. CoRR Antonis Papachristodoulou, James Anderson, Giorgio Valmorbida, Stephen Prajna, Pete Seiler, Pablo A. Parrilo
2012	J	`jnl`	A Decomposition Technique for Nonlinear Dynamical System Analysis. IEEE Trans. Autom. Control. James Anderson, Antonis Papachristodoulou
2012	—	`conf`	A loop shaping approach for designing biological circuits. CDC James Dolan, James Anderson, Antonis Papachristodoulou
2011	—	`conf`	Dynamical system decomposition using dissipation inequalities. CDC/ECC James Anderson, André Teixeira, Henrik Sandberg, Antonis Papachristodoulou
2011	J	`jnl`	Model decomposition and reduction tools for large-scale networks in systems biology. Autom. James Anderson, Yo-Cheng Chang, Antonis Papachristodoulou
2010	C	`conf`	A network decomposition approach for efficient sum of squares programming based analysis. ACC James Anderson, Antonis Papachristodoulou
2010	—	`conf`	Dynamical system decomposition for efficient, sparse analysis. CDC James Anderson, Antonis Papachristodoulou
2010	—	`conf`	Structured model reduction for dynamical networked systems. CDC Antonis Papachristodoulou, Yo-Cheng Chang, Elias August, James Anderson
2009	J	`jnl`	On validation and invalidation of biological models. BMC Bioinform. James Anderson, Antonis Papachristodoulou