H. Boche, V. Pohl, H.V. Poor
On the Convexification of Non-Linear Optimization Problems under Performance Guarantees
CDC 2025 (Conference on Decision and Control)
IEEE
2025

H. Boche, V. Pohl, H.V. Poor
Fundamental Limits for Iterated Function Optimization on Turing Machines
ISIT 2025 (IEEE International Symposium on Information Theory)
IEEE
2025

H. Boche, V. Pohl, H.V. Poor
The Optimal Causal Linear Predictor is Not Turing Computable
111-135
Information Theory and Related Fields: Festschrift in Memory of Ning Cai
Springer Cham
2025

H. Boche, V. Pohl, H.V. Poor
Computing Orthogonal Projections Can Be Too Computational Expensive
CDC 2024 (Conference on Decision and Control)
IEEE
2024

H. Boche, V. Pohl, H.V. Poor
Characterization of the Complexity of Computing the Minimum Mean Square Error of Causal Prediction
IEEE Transactions on Information Theory
2024
70
9
Sep
6627 - 6638

H. Boche, V. Pohl, H.V. Poor
On the Complexity of Computing the Minimum Mean Square Error of Causal Prediction
ACC 2024 (American Control Conference)
2024

H. Boche, V. Pohl, H.V. Poor
The Wiener Theory of Causal Linear Prediction Is Not Effective
62nd IEEE Conference on Decision and Control
CDC 2023
IEEE
2023

H. Boche, V. Pohl, H.V. Poor
The Wiener Theory of Causal Linear Prediction Is Not Effective
62nd IEEE Conference on Decision and Control
CDC
IEEE
2023

G. Kutyniok, H. Rauhut, R.J. Kunsch (eds)
A. Kaplan, D.G. Lee, G.E. Pfander, V. Pohl
Sparse Deterministic and Stochastic Channels: Identification of Spreading Functions and Covariances
Compressed Sensing in Information Processing
Birkhäuser
2022

H. Boche, V. Pohl, H. V. Poor
Recent Progress in Computability for Prediction and Wiener Filter Theory
Transactions of Razmadze Mathematical Institute
2022
176
3
Dec
323 – 344