518 citations · 933 across the 11 of their papers we have counts for
Showing 2014Show all
2 papers · 1 filter
cs.LG2014★ 193 cited
Differential Privacy and Machine Learning: a Survey and Review
Zhanglong Ji, Zachary C. Lipton, Charles Elkan
The objective of machine learning is to extract useful information from data, while privacy is preserved by concealing information. Thus it seems hard to reconcile these competing…
stat.ML2014★ 99 cited
Thresholding Classifiers to Maximize F1 Score
Zachary Chase Lipton, Charles Elkan, Balakrishnan Narayanaswamy
This paper provides new insight into maximizing F1 scores in the context of binary classification and also in the context of multilabel classification. The harmonic mean of precisi…