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Learning Community-Based Preferences via Dirichlet Process Mixtures of Gaussian Processes

Abbasnejad, Ehsan; Sanner, Scott; Bonilla, Edwin; Poupart, Pascal

Description

Bayesian approaches to preference learning using Gaussian Processes (GPs) are attractive due to their ability to explicitly model uncertainty in users' latent utility functions; unfortunately existing techniques have cubic time complexity in the number of

CollectionsANU Research Publications
Date published: 2013
Type: Conference paper
URI: http://hdl.handle.net/1885/66132
Source: IJCAI International Joint Conference on Artificial Intelligence

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