Ingvar M. Ziemann

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 19

Top Topics

Top Venues

Publications

Bruce D. Lee, Ingvar M. Ziemann, George J. Pappas, Nikolai Matni
Active Learning for Control-Oriented Identification of Nonlinear Systems. CoRR (2024)
Charis J. Stamouli, Ingvar M. Ziemann, George J. Pappas
Rate-Optimal Non-Asymptotics for the Quadratic Prediction Error Method. CoRR (2024)
Jiabao He, Ingvar M. Ziemann, Cristian R. Rojas, Håkan Hjalmarsson
Finite Sample Analysis for a Class of Subspace Identification Methods. CoRR (2024)
Ingvar M. Ziemann, Stephen Tu, George J. Pappas, Nikolai Matni
Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss. CoRR (2024)
Ingvar M. Ziemann, Anastasios Tsiamis, Bruce D. Lee, Yassir Jedra, Nikolai Matni, George J. Pappas
A Tutorial on the Non-Asymptotic Theory of System Identification. CDC (2023)
Ingvar M. Ziemann, Stephen Tu, George J. Pappas, Nikolai Matni
The noise level in linear regression with dependent data. CoRR (2023)
Bruce D. Lee, Ingvar M. Ziemann, Anastasios Tsiamis, Henrik Sandberg, Nikolai Matni
The Fundamental Limitations of Learning Linear-Quadratic Regulators. CDC (2023)
Bruce D. Lee, Ingvar M. Ziemann, Anastasios Tsiamis, Henrik Sandberg, Nikolai Matni
The Fundamental Limitations of Learning Linear-Quadratic Regulators. CoRR (2023)
Ingvar M. Ziemann, Anastasios Tsiamis, Bruce D. Lee, Yassir Jedra, Nikolai Matni, George J. Pappas
A Tutorial on the Non-Asymptotic Theory of System Identification. CoRR (2023)
Ingvar M. Ziemann, Stephen Tu, George J. Pappas, Nikolai Matni
The noise level in linear regression with dependent data. NeurIPS (2023)
Ingvar M. Ziemann
A note on the smallest eigenvalue of the empirical covariance of causal Gaussian processes. CoRR (2022)
Anastasios Tsiamis, Ingvar M. Ziemann, Manfred Morari, Nikolai Matni, George J. Pappas
Learning to Control Linear Systems can be Hard. CoRR (2022)
Ingvar M. Ziemann, Anastasios Tsiamis, Henrik Sandberg, Nikolai Matni
How are policy gradient methods affected by the limits of control? CDC (2022)
Ingvar M. Ziemann, Stephen Tu
Learning with little mixing. CoRR (2022)
Anastasios Tsiamis, Ingvar M. Ziemann, Nikolai Matni, George J. Pappas
Statistical Learning Theory for Control: A Finite Sample Perspective. CoRR (2022)
Anastasios Tsiamis, Ingvar M. Ziemann, Manfred Morari, Nikolai Matni, George J. Pappas
Learning to Control Linear Systems can be Hard. COLT (2022)
Ingvar M. Ziemann, Henrik Sandberg, Nikolai Matni
Single Trajectory Nonparametric Learning of Nonlinear Dynamics. COLT (2022)
Ingvar M. Ziemann, Stephen Tu
Learning with little mixing. NeurIPS (2022)
Ingvar M. Ziemann, Anastasios Tsiamis, Henrik Sandberg, Nikolai Matni
How are policy gradient methods affected by the limits of control? CoRR (2022)