James Anderson
Orcid: 0000-0001-8210-6527Affiliations:
- 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.
Collaborative distances:
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Online presence:
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on orcid.org
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on columbia.edu
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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
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
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
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
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
Proceedings of the Learning for Dynamics and Control Conference, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
2022
Proceedings of the IEEE International Conference on Communications, 2022
Proceedings of the Learning for Dynamics and Control Conference, 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Proceedings of the American Control Conference, 2022
2021
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
Proceedings of the 2021 American Control Conference, 2021
2020
Explicit Distributed and Localized Model Predictive Control via System Level Synthesis.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
Proceedings of the 2020 American Control Conference, 2020
Proceedings of the 2020 American Control Conference, 2020
2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Proceedings of the 2019 American Control Conference, 2019
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
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
Proceedings of the 55th Annual Allerton Conference on Communication, 2017
2016
Autom., 2016
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
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
Proceedings of the American Control Conference, 2014
2013
2012
IEEE Trans. Autom. Control., 2012
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
2011
Autom., 2011
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
2010
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
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