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A note on the smallest eigenvalue of the empirical covariance of causal
  Gaussian processes

A note on the smallest eigenvalue of the empirical covariance of causal Gaussian processes

19 December 2022
Ingvar M. Ziemann
ArXivPDFHTML

Papers citing "A note on the smallest eigenvalue of the empirical covariance of causal Gaussian processes"

7 / 7 papers shown
Title
Statistical Learning Theory for Control: A Finite Sample Perspective
Statistical Learning Theory for Control: A Finite Sample Perspective
Anastasios Tsiamis
Ingvar M. Ziemann
Nikolai Matni
George J. Pappas
124
74
0
12 Sep 2022
Learning with little mixing
Learning with little mixing
Ingvar M. Ziemann
Stephen Tu
55
30
0
16 Jun 2022
Finite Sample Analysis of Stochastic System Identification
Finite Sample Analysis of Stochastic System Identification
Anastasios Tsiamis
George J. Pappas
32
147
0
21 Mar 2019
Learning Without Mixing: Towards A Sharp Analysis of Linear System
  Identification
Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification
Max Simchowitz
Horia Mania
Stephen Tu
Michael I. Jordan
Benjamin Recht
44
338
0
22 Feb 2018
Finite Time Identification in Unstable Linear Systems
Finite Time Identification in Unstable Linear Systems
Mohamad Kazem Shirani Faradonbeh
Ambuj Tewari
George Michailidis
51
146
0
05 Oct 2017
Learning without Concentration
Learning without Concentration
S. Mendelson
159
333
0
01 Jan 2014
The lower tail of random quadratic forms, with applications to ordinary
  least squares and restricted eigenvalue properties
The lower tail of random quadratic forms, with applications to ordinary least squares and restricted eigenvalue properties
R. Oliveira
64
101
0
10 Dec 2013
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