Margin Analysis of the LVQ Algorithm. - Koby Crammer; Ran Gilad-Bachrach; Amir Navot; Naftali Tishby (NIPS, 2002)

An Information Theoretic Tradeoff between Complexity and Accuracy. - Ran Gilad-Bachrach; Amir Navot; Naftali Tishby (COLT, 2003)

Bayes and Tukey Meet at the Center Point. - Ran Gilad-Bachrach; Amir Navot; Naftali Tishby (COLT, 2004)

Margin based feature selection - theory and algorithms. - Ran Gilad-Bachrach; Amir Navot; Naftali Tishby (ICML, 2004)

Query by Committee Made Real. - Ran Gilad-Bachrach; Amir Navot; Naftali Tishby (NIPS, 2005)

Nearest Neighbor Based Feature Selection for Regression and its Application to Neural Activity. - Amir Navot; Lavi Shpigelman; Naftali Tishby; Eilon Vaadia (NIPS, 2005)

Is Feature Selection Still Necessary? - Amir Navot; Ran Gilad-Bachrach; Yiftah Navot; Naftali Tishby (SLSFS, 2005)

Margin Based Feature Selection and Infogain with Standard Classifiers. - Ran Gilad-Bachrach; Amir Navot (Feature Extraction, 2006)

Large Margin Principles for Feature Selection. - Ran Gilad-Bachrach; Amir Navot; Naftali Tishby (Feature Extraction, 2006)

On the role of feature selection in machine learning (על בחירת תכוניות בלמידה חישובית.). - Amir Navot (2006)