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Non-Asymptotic Pointwise and Worst-Case Bounds for Classical Spectrum Estimators

Non-Asymptotic Pointwise and Worst-Case Bounds for Classical Spectrum Estimators

Andrew G. Lamperski
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Papers citing "Non-Asymptotic Pointwise and Worst-Case Bounds for Classical Spectrum Estimators"

5 / 5 papers shown
Title
Nonasymptotic Analysis of Classical Spectrum Estimators with $L$-mixing Time-series Data
Nonasymptotic Analysis of Classical Spectrum Estimators with LL-mixing Time-series Data
Yuping Zheng
Andrew G. Lamperski
18
0
0
03 Oct 2024
Multi-Source and Test-Time Domain Adaptation on Multivariate Signals using Spatio-Temporal Monge Alignment
Multi-Source and Test-Time Domain Adaptation on Multivariate Signals using Spatio-Temporal Monge Alignment
Théo Gnassounou
Antoine Collas
Rémi Flamary
Karim Lounici
Alexandre Gramfort
27
2
0
19 Jul 2024
Approximation with Random Shallow ReLU Networks with Applications to Model Reference Adaptive Control
Approximation with Random Shallow ReLU Networks with Applications to Model Reference Adaptive Control
Andrew G. Lamperski
Tyler Lekang
22
3
0
25 Mar 2024
Information Theoretically Optimal Sample Complexity of Learning Dynamical Directed Acyclic Graphs
Information Theoretically Optimal Sample Complexity of Learning Dynamical Directed Acyclic Graphs
M. S. Veedu
Deepjyoti Deka
M. Salapaka
15
0
0
31 Aug 2023
Efficient and passive learning of networked dynamical systems driven by non-white exogenous inputs
Efficient and passive learning of networked dynamical systems driven by non-white exogenous inputs
Harish Doddi
Deepjyoti Deka
Saurav Talukdar
M. Salapaka
13
6
0
02 Oct 2021