Michalis Titsias RC AUEB
6 papers · 2013–2016 · 1 conference · across top CS/AI conferences
Achievements
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🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(14)
🗺️
Taxonomy Completionist
(16)
🐣
Hot Topic Early Bird
Conferences
NIPS (6)
Top co-authors
Keywords
variational inference
(4)
markov chain monte carlo
(2)
metric learning
(1)
bayesian inference
(1)
kernel learning
(1)
probability estimation
(1)
gaussian process
(1)
gaussian process regression
(1)
gibbs sampling
(1)
mcmc sampling
(1)
distance metric learning
(1)
mahalanobis distance
(1)
likelihood estimation
(1)
auxiliary variable
(1)
scalable inference
(1)
determinantal point process
(1)
kernel hyperparameters
(1)
mahalanobis distance metric
(1)
latent sequence
(1)
probabilistic model
(1)
Papers
One-vs-Each Approximation to Softmax for Scalable Estimation of Probabilities
NIPS 2016
The Generalized Reparameterization Gradient
NIPS 2016
Local Expectation Gradients for Black Box Variational Inference
NIPS 2015
Inference for determinantal point processes without spectral knowledge
NIPS 2015
Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models
NIPS 2014
Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression
NIPS 2013