Bruce D. Lee

According to our database, Bruce D. Lee authored at least 14 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples.

Thomas T. Zhang, Bruce D. Lee, Ingvar M. Ziemann, George J. Pappas, Nikolai Matni

CoRR, 2024

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

Bruce D. Lee, Leonardo F. Toso, Thomas T. C. K. Zhang, James Anderson, Nikolai Matni

CoRR, 2024

Active Learning for Control-Oriented Identification of Nonlinear Systems.

Bruce D. Lee, Ingvar M. Ziemann, George J. Pappas, Nikolai Matni

CoRR, 2024

Nonasymptotic regret analysis of adaptive linear quadratic control with model misspecification.

Bruce D. Lee, Anders Rantzer, Nikolai Matni

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Uncertainty-Aware Deployment of Pre-trained Language-Conditioned Imitation Learning Policies.

Bo Wu, Bruce D. Lee, Kostas Daniilidis, Bernadette Bucher, Nikolai Matni

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples.

Thomas T. C. K. Zhang, Bruce D. Lee, Ingvar M. Ziemann, George J. Pappas, Nikolai Matni

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Performance-Robustness Tradeoffs in Adversarially Robust Control and Estimation.

Bruce D. Lee, Thomas T. C. K. Zhang, Hamed Hassani, Nikolai Matni

CoRR, 2023

Multi-Task Imitation Learning for Linear Dynamical Systems.

Thomas T. C. K. Zhang, Katie Kang, Bruce D. Lee, Claire J. Tomlin, Sergey Levine, Stephen Tu, Nikolai Matni

Proceedings of the Learning for Dynamics and Control Conference, 2023

A Tutorial on the Non-Asymptotic Theory of System Identification.

Ingvar M. Ziemann, Anastasios Tsiamis, Bruce D. Lee, Yassir Jedra, Nikolai Matni, George J. Pappas

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

The Fundamental Limitations of Learning Linear-Quadratic Regulators.

Bruce D. Lee, Ingvar M. Ziemann, Anastasios Tsiamis, Henrik Sandberg, Nikolai Matni

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Adversarial Tradeoffs in Robust State Estimation.

Thomas T. C. K. Zhang, Bruce D. Lee, Hamed Hassani, Nikolai Matni

Proceedings of the American Control Conference, 2023

2022

Performance-Robustness Tradeoffs in Adversarially Robust Linear-Quadratic Control.

Bruce D. Lee, Thomas T. C. K. Zhang, Hamed Hassani, Nikolai Matni

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Adversarial Tradeoffs in Linear Inverse Problems and Robust State Estimation.

Bruce D. Lee, Thomas T. C. K. Zhang, Hamed Hassani, Nikolai Matni

CoRR, 2021

How Are Learned Perception-Based Controllers Impacted by the Limits of Robust Control?

Jingxi Xu, Bruce D. Lee, Nikolai Matni, Dinesh Jayaraman

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021