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Risk bounds in linear regression through PAC-Bayesian truncation
v1v2 (latest)

Risk bounds in linear regression through PAC-Bayesian truncation

10 February 2009
Jean-Yves Audibert
O. Catoni
ArXiv (abs)PDFHTML

Papers citing "Risk bounds in linear regression through PAC-Bayesian truncation"

7 / 7 papers shown
Dealing with Expert Bias in Collective Decision-Making
Dealing with Expert Bias in Collective Decision-Making
Axel Abels
Tom Lenaerts
V. Trianni
Ann Nowé
422
8
0
25 Jun 2021
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
282
104
0
10 Dec 2013
Robust empirical mean Estimators
Robust empirical mean Estimators
M. Lerasle
R. I. Oliveira
401
85
0
16 Dec 2011
Adaptive Minimax Estimation over Sparse $\ell_q$-Hulls
Adaptive Minimax Estimation over Sparse ℓq\ell_qℓq​-Hulls
Zhan Wang
S. Paterlini
Frank Gao
Yuhong Yang
655
14
0
09 Aug 2011
Sparsity regret bounds for individual sequences in online linear
  regression
Sparsity regret bounds for individual sequences in online linear regression
Sébastien Gerchinovitz
876
111
0
05 Jan 2011
PAC-Bayesian aggregation and multi-armed bandits
PAC-Bayesian aggregation and multi-armed bandits
Jean-Yves Audibert
429
21
0
15 Nov 2010
High confidence estimates of the mean of heavy-tailed real random
  variables
High confidence estimates of the mean of heavy-tailed real random variables
O. Catoni
278
9
0
29 Sep 2009
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