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The noise level in linear regression with dependent data

The noise level in linear regression with dependent data

18 May 2023
Ingvar M. Ziemann
Stephen Tu
George J. Pappas
Nikolai Matni
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Papers citing "The noise level in linear regression with dependent data"

5 / 5 papers shown
Title
High-dimensional analysis of ridge regression for non-identically distributed data with a variance profile
High-dimensional analysis of ridge regression for non-identically distributed data with a variance profile
Jérémie Bigot
Issa-Mbenard Dabo
Camille Male
29
4
0
29 Mar 2024
Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss
Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss
Ingvar M. Ziemann
Stephen Tu
George J. Pappas
Nikolai Matni
38
8
0
08 Feb 2024
A Tutorial on the Non-Asymptotic Theory of System Identification
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
19
25
0
07 Sep 2023
Learning without Concentration for General Loss Functions
Learning without Concentration for General Loss Functions
S. Mendelson
55
65
0
13 Oct 2014
Learning without Concentration
Learning without Concentration
S. Mendelson
80
334
0
01 Jan 2014
1