Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift.
Jiawei GeShange TangJianqing FanCong MaChi JinPublished in: ICLR (2024)
Keyphrases
- maximum likelihood estimation
- covariate shift
- model selection
- parameter estimation
- domain adaptation
- maximum likelihood
- semi supervised learning
- em algorithm
- data generation
- training and test data
- expectation maximization
- feature selection
- cross validation
- active learning
- density function
- probability distribution
- labeled data
- training data
- similarity search
- learning algorithm
- image segmentation
- cross domain
- probability density function
- test data
- unlabeled data
- machine learning
- training set
- text classification