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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

10 December 2013
R. Oliveira
ArXivPDFHTML

Papers citing "The lower tail of random quadratic forms, with applications to ordinary least squares and restricted eigenvalue properties"

6 / 6 papers shown
Title
Simple Relative Deviation Bounds for Covariance and Gram Matrices
Simple Relative Deviation Bounds for Covariance and Gram Matrices
Daniel Barzilai
Ohad Shamir
41
0
0
08 Oct 2024
Bayesian Off-Policy Evaluation and Learning for Large Action Spaces
Bayesian Off-Policy Evaluation and Learning for Large Action Spaces
Imad Aouali
Victor-Emmanuel Brunel
David Rohde
Anna Korba
OffRL
106
5
0
22 Feb 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
63
9
0
08 Feb 2024
Covariance estimation for distributions with $2+\varepsilon$ moments
Covariance estimation for distributions with 2+ε2+\varepsilon2+ε moments
N. Srivastava
Roman Vershynin
70
117
0
14 Jun 2011
Robust linear least squares regression
Robust linear least squares regression
Jean-Yves Audibert
O. Catoni
92
99
0
01 Oct 2010
On the conditions used to prove oracle results for the Lasso
On the conditions used to prove oracle results for the Lasso
Sara van de Geer
Peter Buhlmann
226
729
0
05 Oct 2009
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