High-dimensional union support recovery in multivariate

High-dimensional union support recovery in multivariate

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by Guillaume Obozinski , Martin J. Wainwright , Michael I. Jordan

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20 - 0 self

BibTeX

@MISC{Obozinski_high-dimensionalunion,
    author = {Guillaume Obozinski and Martin J. Wainwright and Michael I. Jordan},
    title = {High-dimensional union support recovery in multivariate},
    year = {}
}

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Abstract

regression

Citations

998	Regression shrinkage and selection via the lasso - Tibshirani - 1996
239	Model selection and estimation in regression with grouped variables - Yuan, Lin
194	Stable recovery of sparse overcomplete representations in the presence of noise - Donoho, Elad, et al.
185	Just relax: Convex programming methods for identifying sparse signals in noise - Tropp
168	Multiple kernel learning, conic duality - Bach, Lanckriet, et al. - 2004
82	Sharp thresholds for high-dimensional and noisy sparsity recovery using ℓ1-constrained quadratic programs - Wainwright
81	Consistency of the group lasso and multiple kernel learning - Bach
75	The group lasso for logistic regression - Meier, Geer, et al.
61	Grouped and hierarchical model selection through composite absolute penalties - Zhao, Rocha, et al.
57	Learning the kernel function via regularization - Micchelli, Pontil
38	Sparse additive models - Ravikumar, Lafferty, et al. - 2009
14	Joint covariate selection for grouped classification - Obozinski, Taskar, et al. - 2007
10	Model selection with the lasso - Zhao, Yu - 2006