Fetching the paper…
Reading the bibliography…
This paper studies the sensitivity to the observations of the block/group Lasso solution to an overdetermined linear regression model.
Information theory and an extension of the maximum likelihood principle
Akaike, H · 1973
Earlier work this paper cites.
Some comments on cp
Mallows, C. L · 1973
Earlier work this paper cites.
Generalized cross-validation as a method for choosing a good ridge parameter
Golub, G.H., Heath, M., and Wahba, G · 1979
Earlier work this paper cites.
Estimation of the mean of a multivariate normal distribution
Stein, C.M · 1981
Earlier work this paper cites.
How biased is the apparent error rate of a prediction rule?
Efron, B · 1986
Earlier work this paper cites.
Regression shrinkage and selection via the Lasso
Tibshirani, R · 1996
Cited alongside, same era.
Hausdorff measures
Rogers, C.A · 1998
Cited alongside, same era.
Adaptive regression and model selection in data mining problems, 1999
Bakin, S · 1999
Cited alongside, same era.
Model selection and estimation in regression with grouped variables
Yuan, M. and Lin, Y · 2006
Cited alongside, same era.
On the “degrees of freedom” of the lasso
Zou, H., Hastie, T., and Tibshirani, R · 2007
Cited alongside, same era.
The degrees of freedom of the Lasso for general design matrix
Dossal, C., Kachour, M., Fadili, J., Peyré, G., and Chesneau, C
Cited in the paper.
Consistency of the group lasso and multiple kernel learning
Bach, F.R · 2008
Later among the works it cites.
On the degrees of freedom in shrinkage estimation
Kato, K · 2009
Later among the works it cites.
Threshold selection for group sparsity
Solo, V. and Ulfarsson, M · 2010
Later among the works it cites.
Degrees of freedom in lasso problems
Tibshirani, R. J. and Taylor, J · 2012
Closest in time.
Local behavior of sparse analysis regularization: Applications to risk estimation
Vaiter, S., Deledalle, C., Peyré, G., Fadili, J., and Dossal, C · 2012
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…