2016
Launch and Iterate: Reducing Prediction Churn
NeurIPS 2016poster
Practical applications of machine learning often involve successive training iterations with changes to features and training examples. Ideally, changes in the output of any new model should only be improvements (wins) over the previous iteration, but in practice the predictions may change neutrally…