260 citations · 828 across the 46 of their papers we have counts for
Showing 2013 · stat.MLShow all
2 papers · 2 filters
stat.ML2013★ 5 cited
Confidence Intervals for Random Forests: The Jackknife and the Infinitesimal Jackknife
Stefan Wager, Trevor Hastie, Bradley Efron
We study the variability of predictions made by bagged learners and random forests, and show how to estimate standard errors for these methods. Our work builds on variance estimate…
stat.ML2013★ 260 cited
Dropout Training as Adaptive Regularization
Stefan Wager, Sida Wang, Percy Liang
Dropout and other feature noising schemes control overfitting by artificially corrupting the training data. For generalized linear models, dropout performs a form of adaptive regul…