Learning from revealed preference. - Eyal Beigman; Rakesh Vohra (EC, 2006)

Efficiency bounds for sequential resource allocation auctions. - Junjik Bae; Eyal Beigman; Randall Berry; Michael L. Honig; Rakesh V. Vohra (CDC, 2007)

Efficiency of Sequential Bandwidth and Power Auctions With Rate Utilities. - Junjik Bae; Eyal Beigman; Randall Berry; Michael L. Honig; Rakesh Vohra (CrownCom, 2007)

Extension of Arrow's theorem to symmetric sets of tournaments. - Eyal Beigman (Discret. Math., 2007)

Sequential Bandwidth and Power Auctions for Distributed Spectrum Sharing. - Junjik Bae; Eyal Beigman; Randall A. Berry; Michael L. Honig; Rakesh V. Vohra (IEEE J. Sel. Areas Commun., 2008)

Learning with Annotation Noise. - Eyal Beigman; Beata Beigman Klebanov (ACL/IJCNLP, 2009)

On the efficiency of sequential auctions for spectrum sharing. - Junjik Bae; Eyal Beigman; Randall Berry; Michael L. Honig; Rakesh Vohra (GAMENETS, 2009)

From Annotator Agreement to Noise Models. - Beata Beigman Klebanov; Eyal Beigman (Comput. Linguistics, 2009)

A Game-Theoretic Model of Metaphorical Bargaining. - Beata Beigman Klebanov; Eyal Beigman (ACL, 2010)

Vocabulary Choice as an Indicator of Perspective. - Beata Beigman Klebanov; Eyal Beigman; Daniel Diermeier (ACL (2), 2010)

Some Empirical Evidence for Annotation Noise in a Benchmarked Dataset. - Beata Beigman Klebanov; Eyal Beigman (HLT-NAACL, 2010)

Simple games with many effective voters. - Eyal Beigman (Games Econ. Behav., 2010)

Difficult Cases: From Data to Learning, and Back. - Beata Beigman Klebanov; Eyal Beigman (ACL (2), 2014)