2.6k citations · 8.6k across the 77 of their papers we have counts for
3 papers · 1 filter
Efficient Online Bootstrapping for Large Scale Learning
Zhen Qin, Vaclav Petricek, Nikos Karampatziakis +2
Bootstrapping is a useful technique for estimating the uncertainty of a predictor, for example, confidence intervals for prediction. It is typically used on small to moderate sized…
Para-active learning
Alekh Agarwal, Leon Bottou, Miroslav Dudik +1
Training examples are not all equally informative. Active learning strategies leverage this observation in order to massively reduce the number of examples that need to be labeled.…
Normalized Online Learning
Stephane Ross, Paul Mineiro, John Langford
We introduce online learning algorithms which are independent of feature scales, proving regret bounds dependent on the ratio of scales existent in the data rather than the absolut…