ICML 2017

Graphical Models for Ordinal Data: A Tale of Two Approaches

Arun Sai Suggala, Eunho Yang, and P. Ravikumar

Undirected graphical models or Markov random fields (MRFs) are widely used for modeling multivariate probability distributions. Much of the work on MRFs has focused on continuous variables, and nominal variables (that is, unordered categorical variables). However, data from many real world applications involve ordered categorical variables also known as ordinal variables, e.g., movie ratings on Netflix which can be ordered from 1 to 5 stars.

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