Low-Dimensional Density Ratio Estimation for Covariate Shift Correction.
Petar StojanovMingming GongJaime G. CarbonellKun ZhangPublished in: AISTATS (2019)
Keyphrases
- covariate shift
- density ratio estimation
- low dimensional
- model selection
- domain adaptation
- high dimensional
- semi supervised learning
- high dimensional data
- data generation
- density ratio
- dimensionality reduction
- data points
- principal component analysis
- input space
- manifold learning
- training and test data
- feature representation
- feature space
- cross validation
- active learning
- semi supervised
- unlabeled data
- missing values
- labeled data
- supervised learning
- machine learning
- databases
- data sets