71 citations · 100 across the 3 of their papers we have counts for
3 papers
math.ST2010★ 1 cited
Strong rules for discarding predictors in lasso-type problems
Robert Tibshirani, Jacob Bien, Jerome Friedman +4
We consider rules for discarding predictors in lasso regression and related problems, for computational efficiency. El Ghaoui et al (2010) propose "SAFE" rules that guarantee that…
stat.AP2009★ 71 cited
A bias correction for the minimum error rate in cross-validation
Ryan J. Tibshirani, Robert Tibshirani
Tuning parameters in supervised learning problems are often estimated by cross-validation. The minimum value of the cross-validation error can be biased downward as an estimate of…
stat.CO2008★ 28 cited
Fast computation of the median by successive binning
Ryan J. Tibshirani
This paper describes a new median algorithm and a median approximation algorithm. The former has O(n) average running time and the latter has O(n) worst-case running time. These al…