Ingvar Ziemann
10 papers · 2021–2025 · 4 venues · across top CS/AI venues
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Papers
A Short Information-Theoretic Analysis of Linear Auto-Regressive Learning
L4DC 2025
Logarithmic Regret for Nonlinear Control
L4DC 2025
Nonconvex Linear System Identification with Minimal State Representation
L4DC 2025
Shallow diffusion networks provably learn hidden low-dimensional structure
ICLR 2025
State space models, emergence, and ergodicity: How many parameters are needed for stable predictions?
L4DC 2025
Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples
ICML 2024
Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss
ICML 2024
The noise level in linear regression with dependent data
NeurIPS 2023
Learning with little mixing
NeurIPS 2022
On Uninformative Optimal Policies in Adaptive LQR with Unknown B-Matrix
L4DC 2021