240 citations · 503 across the 31 of their papers we have counts for
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cs.LG2013★ 3 cited
Speedy Model Selection (SMS) for Copula Models
Yaniv Tenzer, Gal Elidan
We tackle the challenge of efficiently learning the structure of expressive multivariate real-valued densities of copula graphical models. We start by theoretically substantiating…
cs.LG2013★ 4 cited
Learning Max-Margin Tree Predictors
Ofer Meshi, Elad Eban, Gal Elidan +1
Structured prediction is a powerful framework for coping with joint prediction of interacting outputs. A central difficulty in using this framework is that often the correct label…
cs.LG2013★ 54 cited
Learning the Dimensionality of Hidden Variables
Gal Elidan, Nir Friedman
A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. Detec…