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All publications by Edwin V. Bonilla
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Scalable Inference for Gaussian Process Models with Black-Box Likelihoods
Amir Dezfouli and Edwin V. Bonilla
Advances in Neural Information Processing Systems 28, 2015


Extended and Unscented Gaussian Processes
Daniel M. Steinberg and Edwin V. Bonilla
Advances in Neural Information Processing Systems 27, 2014


Automated Variational Inference for Gaussian Process Models
Trung V. Nguyen and Edwin V. Bonilla
Advances in Neural Information Processing Systems 27, 2014


Discriminative Probabilistic Prototype Learning
Antonio Robles-kelly and Edwin V. Bonilla
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Improving Topic Coherence with Regularized Topic Models
David Newman, Edwin V. Bonilla and Wray Buntine
Advances in Neural Information Processing Systems 24, 2011


Gaussian Process Preference Elicitation
Shengbo Guo, Scott Sanner and Edwin V. Bonilla
Advances in Neural Information Processing Systems 23, 2010


Multi-task Gaussian Process Prediction
Edwin V. Bonilla, Kian M. Chai and Christopher Williams
Advances in Neural Information Processing Systems 20, 2007


Kernel Multi-task Learning using Task-specific Features
Edwin V. Bonilla, Felix V. Agakov and Christopher Williams
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-07), 2007


Predictive search distributions
Edwin V. Bonilla, Christopher Williams, Felix V. Agakov, John Cavazos, John Thomson and Michael O'boyle
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006