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