Michalis Titsias RC AUEB
6 papers · 2013–2016 · 1 venue · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(19)
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Hot Topic Early Bird
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Trend Setter
Venues
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Research topics
Keywords
variational inference
(4)
latent variable model
(2)
markov chain monte carlo
(2)
gibbs sampling
(2)
kernel learning
(1)
probability estimation
(1)
gaussian process
(1)
gaussian process regression
(1)
mcmc sampling
(1)
distance metric learning
(1)
mahalanobis distance
(1)
likelihood estimation
(1)
auxiliary variable
(1)
gibbs sampler
(1)
scalable inference
(1)
determinantal point process
(1)
stochastic variational inference
(1)
kernel hyperparameters
(1)
mahalanobis distance metric
(1)
latent sequence
(1)
Papers
One-vs-Each Approximation to Softmax for Scalable Estimation of Probabilities
NeurIPS 2016
The Generalized Reparameterization Gradient
NeurIPS 2016
Inference for determinantal point processes without spectral knowledge
NeurIPS 2015
Local Expectation Gradients for Black Box Variational Inference
NeurIPS 2015
Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models
NeurIPS 2014
Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression
NeurIPS 2013