Hybrid Discriminative-Generative Approach with Gaussian Processes


Ricardo Andrade Pacheco, James Hensman, Max Zwiessele, Neil D. Lawrence ;
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, PMLR 33:47-56, 2014.


Machine learning practitioners are often faced with a choice between a discriminative and a generative approach to modelling. Here, we present a model based on a hybrid approach that breaks down some of the barriers between the discriminative and generative points of view, allowing continuous dimensionality reduction of hybrid discrete-continuous data, discriminative classification with missing inputs and manifold learning informed by class labels.

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