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Semisupervised Learning on Heterogeneous Graphs and its Applications to Facebook News Feed
We show that the HELP algorithm improves the predictive performance across multiple tasks, together with semantically meaningful embedding that are discriminative for downstream classification or regression tasks.
Sparse Bayesian Multi-Task Learning
We propose a new sparse Bayesian model for multi-task regression and classification.
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.
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