5 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.LG2012★ 1 cited
Sufficient Dimensionality Reduction with Irrelevant Statistics
Amir Globerson, Gal Chechik, Naftali Tishby
The problem of finding a reduced dimensionality representation of categorical variables while preserving their most relevant characteristics is fundamental for the analysis of comp…
cs.LG2012★ 5 cited
The Minimum Information Principle for Discriminative Learning
Amir Globerson, Naftali Tishby
Exponential models of distributions are widely used in machine learning for classiffication and modelling. It is well known that they can be interpreted as maximum entropy models u…
cs.LG2011
Gaussian Robust Classification
Ido Ginodi, Amir Globerson
Supervised learning is all about the ability to generalize knowledge. Specifically, the goal of the learning is to train a classifier using training data, in such a way that it wil…