Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression.
Michalis K. TitsiasMiguel Lázaro-GredillaPublished in: NIPS (2013)
Keyphrases
- distance metric
- gaussian process regression
- gaussian process
- gaussian processes
- metric learning
- euclidean distance
- distance function
- regression model
- distance measure
- model selection
- approximate inference
- bayesian inference
- data points
- latent variables
- bayesian framework
- semi supervised
- probabilistic model
- closed form
- topic models
- hyperparameters
- cross validation
- markov random field
- data mining