Shai Ben-David

Analysis of Representations for Domain Adaptation

Discriminative learning methods for classification perform well when training and test data are drawn from the same distribution. In many situations, though, we have labeled tra...

Scale-sensitive dimensions, uniform convergence, and learnability

Learnability in Valiant's PAC learning model has been shown to be strongly related to the existence of uniform laws of large numbers. These laws define a distribution-free conve...

Measures of Clustering Quality: A Working Set of Axioms for Clustering

Aiming towards the development of a general clustering theory, we discuss abstract axiomatization for clustering. In this respect, we follow up on the work of Kleinberg, ([1]) t...

Detecting Change in Data Streams