Bayesian Nonparametric Kernel-Learning.
Junier B. OlivaAvinava DubeyAndrew Gordon WilsonBarnabás PóczosJeff G. SchneiderEric P. XingPublished in: AISTATS (2016)
Keyphrases
- kernel learning
- bayesian nonparametric
- gaussian process
- inverse reinforcement learning
- mixture model
- semi supervised
- kernel matrix
- support vector regression
- multiple kernel learning
- kernel function
- kernel methods
- learning tasks
- semi supervised learning
- regression model
- gaussian processes
- dimensionality reduction
- reinforcement learning
- labeled data
- expectation maximization
- distance metric
- bayesian framework
- model selection
- em algorithm
- probabilistic model
- hidden markov models