240 citations · 503 across the 31 of their papers we have counts for
4 papers · 2 filters
The Information Bottleneck EM Algorithm
Gal Elidan, Nir Friedman
Learning with hidden variables is a central challenge in probabilistic graphical models that has important implications for many real-life problems. The classical approach is using…
"Ideal Parent" Structure Learning for Continuous Variable Networks
Iftach Nachman, Gal Elidan, Nir Friedman
In recent years, there is a growing interest in learning Bayesian networks with continuous variables. Learning the structure of such networks is a computationally expensive procedu…
Convex Point Estimation using Undirected Bayesian Transfer Hierarchies
Gal Elidan, Ben Packer, Geremy Heitz +1
When related learning tasks are naturally arranged in a hierarchy, an appealing approach for coping with scarcity of instances is that of transfer learning using a hierarchical Bay…
Inference-less Density Estimation using Copula Bayesian Networks
Gal Elidan
We consider learning continuous probabilistic graphical models in the face of missing data. For non-Gaussian models, learning the parameters and structure of such models depends on…