Gaussian Process Preference Elicitation
Bayesian approaches to preference elicitation (PE) are particularly attractive due to their ability to explicitly model uncertainty in users� latent utility functions. However, previous approaches to Bayesian PE have ignored the important problem of generalizing from previous users to an unseen user in order to reduce the elicitation burden on new users. In this paper, we address this deficiency by introducing a Gaussian Process (GP) prior over users� latent utility functions on the joint space...[Show more]
|Collections||ANU Research Publications|
|Source:||Advances in Neural Information Processing Systems 24|
|01_Bonilla_Gaussian_Process_Preference_2010.pdf||247.98 kB||Adobe PDF||Request a copy|
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