ML Anthology

Aueb, Michalis Titsias RC

6 publications

NeurIPS 2016 One-vs-Each Approximation to SoftMax for Scalable Estimation of Probabilities Michalis Titsias RC Aueb
NeurIPS 2016 The Generalized Reparameterization Gradient Francisco R Ruiz, Michalis Titsias RC Aueb, David Blei
NeurIPS 2015 Inference for Determinantal Point Processes Without Spectral Knowledge Rémi Bardenet, Michalis Titsias RC Aueb
NeurIPS 2015 Local Expectation Gradients for Black Box Variational Inference Michalis Titsias RC Aueb, Miguel Lázaro-Gredilla
NeurIPS 2014 Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models Michalis Titsias RC Aueb, Christopher Yau
NeurIPS 2013 Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression Michalis Titsias RC Aueb, Miguel Lazaro-Gredilla