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Collaborating Authors

 Zhibing Zhao


Learning Mixtures of Plackett-Luce Models from Structured Partial Orders

Neural Information Processing Systems

Mixtures of ranking models have been widely used for heterogeneous preferences. However, learning a mixture model is highly nontrivial, especially when the dataset consists of partial orders. In such cases, the parameter of the model may not be even identifiable.