Intractable Likelihood Regression for Covariate Shift by Kernel Mean Embedding.
Keiichi KisamoriKeisuke YamazakiPublished in: CoRR (2018)
Keyphrases
- covariate shift
- model selection
- kernel matrix
- support vector
- regression model
- density ratio estimation
- graph embedding
- regression method
- cross validation
- kernel function
- semi supervised learning
- hyperparameters
- domain adaptation
- feature space
- kernel methods
- linear regression
- data generation
- unsupervised learning
- maximum likelihood
- least squares
- semi supervised
- nonlinear dimensionality reduction
- decision trees
- active learning
- training and test data
- training data