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All publications by Michalis Titsias
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Inference for determinantal point processes without spectral knowledge
Rémi Bardenet and Michalis Titsias
Advances in Neural Information Processing Systems 28, 2015


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


Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models
Michalis Titsias and Christopher Yau
Advances in Neural Information Processing Systems 27, 2014


Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression
Michalis Titsias and Miguel Lazaro-gredilla
Advances in Neural Information Processing Systems 26, 2013