Limits of Model Selection under Transfer Learning.
Steve HannekeSamory KpotufeYasaman MahdaviyehPublished in: CoRR (2023)
Keyphrases
- model selection
- transfer learning
- machine learning
- cross validation
- hyperparameters
- learning tasks
- knowledge transfer
- reinforcement learning
- labeled data
- parameter estimation
- sample size
- collaborative filtering
- selection criterion
- cross domain
- statistical learning
- text classification
- feature selection
- structure learning
- active learning
- regression model
- machine learning algorithms
- domain adaptation
- multi task
- gaussian process
- text categorization
- semi supervised learning
- multi task learning
- generalization error
- learning algorithm
- gaussian processes
- information criterion
- transfer knowledge
- model selection criteria
- target domain
- unlabeled data
- unsupervised learning
- text mining
- training data
- training set
- data sets
- kernel matrix
- semi supervised
- training and test data