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All publications by Miguel Lázaro-gredilla
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Local Expectation Gradients for Black Box Variational Inference
Michalis Titsias and Miguel Lázaro-gredilla
Advances in Neural Information Processing Systems 28, 2015


Doubly Stochastic Variational Bayes for non-Conjugate Inference
Michalis Titsias and Miguel Lázaro-gredilla
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Bayesian Warped Gaussian Processes
Miguel Lázaro-gredilla
Advances in Neural Information Processing Systems 25, 2012


Spike and Slab Variational Inference for Multi-Task and Multiple Kernel Learning
Miguel Lázaro-gredilla and Michalis K. Titsias
Advances in Neural Information Processing Systems 24, 2011


Variational Heteroscedastic Gaussian Process Regression
Michalis K. Titsias and Miguel Lázaro-gredilla
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Inter-domain Gaussian Processes for Sparse Inference using Inducing Features
Anibal Figueiras-vidal and Miguel Lázaro-gredilla
Advances in Neural Information Processing Systems 22, 2009