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Estimation Stability with Cross Validation (ESCV)
Lasso model selection parameter estimation prediction
2013/4/27
Cross-validation (CV) is often used to select the regularization parameter in high dimensional problems. However, when applied to the sparse modeling method Lasso, CV leads to models that are unstable...
Concentration inequalities of the cross-validation estimator for Empirical Risk Minimiser
Cross-validation generalization error concentration inequality optimal splitting resampling
2010/11/8
In this article, we derive concentration inequalities for the cross-validation estimate of the
generalization error for empirical risk minimizers. In the general setting, we prove sanity-check bounds...
Importance Re-sampling MCMC for Cross-Validation in Inverse Problems
Cross-validation Inverse Importance Re-sampling Model fit Re-use
2009/9/22
This paper presents a methodology for cross-validation in the context of Bayesian
modelling of situations we loosely refer to as iverse problems It is motivated by
an example from palaeoclimatology ...