James Anderson

Orcid: 0000-0001-8210-6527

Affiliations:
  • Columbia University, NY, USA
  • California Institute of Technology, Pasadena, CA, USA (former)
  • University of Oxford, UK (PhD 2012)


According to our database1, James Anderson authored at least 60 papers between 2009 and 2024.

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Bibliography

2024
Federated TD Learning with Linear Function Approximation under Environmental Heterogeneity.
Trans. Mach. Learn. Res., 2024

Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control.
CoRR, 2024

Meta-Adaptive Stock Movement Prediction with Two-Stage Representation Learning.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Meta-learning linear quadratic regulators: A policy gradient MAML approach for model-free LQR.
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Sample-Efficient Linear Representation Learning from Non-IID Non-Isotropic Data.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Data-Efficient and Robust Task Selection for Meta-Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Oracle Complexity Reduction for Model-Free LQR: A Stochastic Variance-Reduced Policy Gradient Approach.
Proceedings of the American Control Conference, 2024

2023
Distributed and Localized Model Predictive Control - Part II: Theoretical Guarantees.
IEEE Trans. Control. Netw. Syst., September, 2023

Distributed and Localized Model-Predictive Control-Part I: Synthesis and Implementation.
IEEE Trans. Control. Netw. Syst., June, 2023

Meta-Learning Operators to Optimality from Multi-Task Non-IID Data.
CoRR, 2023

Protection Against Graph-Based False Data Injection Attacks on Power Systems.
CoRR, 2023

Federated Temporal Difference Learning with Linear Function Approximation under Environmental Heterogeneity.
CoRR, 2023

Invited Paper: Detection of False Data Injection Attacks in Power Systems Using a Secured-Sensors and Graph-Based Method.
Proceedings of the Stabilization, Safety, and Security of Distributed Systems, 2023

Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FedSysID: A Federated Approach to Sample-Efficient System Identification.
Proceedings of the Learning for Dynamics and Control Conference, 2023

Learning Personalized Models with Clustered System Identification.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Mitigation-Aware Bidding Strategies in Electricity Markets.
CoRR, 2022

Identification of Intraday False Data Injection Attack on DER Dispatch Signals.
Proceedings of the IEEE International Conference on Communications, 2022

Learning Linear Models Using Distributed Iterative Hessian Sketching.
Proceedings of the Learning for Dynamics and Control Conference, 2022

FedADMM: A federated primal-dual algorithm allowing partial participation.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Distributionally Robust Decision Making Leveraging Conditional Distributions.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Large-Scale System Identification Using a Randomized SVD.
Proceedings of the American Control Conference, 2022

2021
The Optimal Power Flow Operator: Theory and Computation.
IEEE Trans. Control. Netw. Syst., 2021

Safety-Critical Control Synthesis for Network Systems With Control Barrier Functions and Assume-Guarantee Contracts.
IEEE Trans. Control. Netw. Syst., 2021

Localized and Distributed H<sub>2</sub> State Feedback Control.
Proceedings of the 2021 American Control Conference, 2021

2020
Synthesis to Deployment: Cyber-Physical Control Architectures.
CoRR, 2020

Localized and Distributed H2 State Feedback Control.
CoRR, 2020

Explicit Distributed and Localized Model Predictive Control via System Level Synthesis.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Deployment Architectures for Cyber-Physical Control Systems.
Proceedings of the 2020 American Control Conference, 2020

Worst-Case Sensitivity of DC Optimal Power Flow Problems.
Proceedings of the 2020 American Control Conference, 2020

2019
Sparsity Preserving Discretization With Error Bounds.
CoRR, 2019

System level synthesis.
Annu. Rev. Control., 2019

System Level Synthesis with State and Input Constraints.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Differential Privacy of Aggregated DC Optimal Power Flow Data.
Proceedings of the 2019 American Control Conference, 2019

Compositional Set Invariance in Network Systems with Assume-Guarantee Contracts.
Proceedings of the 2019 American Control Conference, 2019

2017
Structured Projection-Based Model Reduction With Application to Stochastic Biochemical Networks.
IEEE Trans. Autom. Control., 2017

Region of attraction estimation using invariant sets and rational Lyapunov functions.
Autom., 2017

Scalable system level synthesis for virtually localizable systems.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

System level synthesis: A tutorial.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Distance to the nearest stable Metzler matrix.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Structured state space realizations for SLS distributed controllers.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016
On the performance of nonlinear dynamical systems under parameter perturbation.
Autom., 2016

On existence of solutions to structured lyapunov inequalities.
Proceedings of the 2016 American Control Conference, 2016

A new approach for estimating the robustness of parameter estimates to measurement noise.
Proceedings of the 2016 American Control Conference, 2016

2015
Designing Genetic Feedback Controllers.
IEEE Trans. Biomed. Circuits Syst., 2015

Bounds for Input- and State-to-Output Properties of Uncertain Linear Systems.
CoRR, 2015

2014
On projection-based model reduction of biochemical networks part II: The stochastic case.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

On projection-based model reduction of biochemical networks part I: The deterministic case.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Region of attraction analysis via invariant sets.
Proceedings of the American Control Conference, 2014

2013
SOSTOOLS Version 3.00 Sum of Squares Optimization Toolbox for MATLAB.
CoRR, 2013

2012
A Decomposition Technique for Nonlinear Dynamical System Analysis.
IEEE Trans. Autom. Control., 2012

A loop shaping approach for designing biological circuits.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
Model decomposition and reduction tools for large-scale networks in systems biology.
Autom., 2011

Dynamical system decomposition using dissipation inequalities.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Structured model reduction for dynamical networked systems.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Dynamical system decomposition for efficient, sparse analysis.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

A network decomposition approach for efficient sum of squares programming based analysis.
Proceedings of the American Control Conference, 2010

2009
On validation and invalidation of biological models.
BMC Bioinform., 2009


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