Wager, Stefan

8 publications

UAI 2022 Partial Likelihood Thompson Sampling Han Wu, Stefan Wager

NeurIPS 2019 Covariate-Powered Empirical Bayes Estimation Nikolaos Ignatiadis, Stefan Wager

JMLR 2016 Bootstrap-Based Regularization for Low-Rank Matrix Estimation Julie Josse, Stefan Wager

COLT 2016 Memory, Communication, and Statistical Queries Jacob Steinhardt, Gregory Valiant, Stefan Wager

NeurIPS 2014 Altitude Training: Strong Bounds for Single-Layer Dropout Stefan Wager, William Fithian, Sida Wang, Percy Liang

JMLR 2014 Confidence Intervals for Random Forests: The Jackknife and the Infinitesimal Jackknife Stefan Wager, Trevor Hastie, Bradley Efron

NeurIPS 2014 Feedback Detection for Live Predictors Stefan Wager, Nick Chamandy, Omkar Muralidharan, Amir Najmi

NeurIPS 2013 Dropout Training as Adaptive Regularization Stefan Wager, Sida Wang, Percy Liang