Generalization Bounds for Transfer Learning with Pretrained Classifiers.
Tomer GalantiAndrás GyörgyMarcus HutterPublished in: CoRR (2022)
Keyphrases
- transfer learning
- generalization bounds
- linear classifiers
- generalization ability
- learning tasks
- data dependent
- learning problems
- learning theory
- model selection
- machine learning algorithms
- multi task
- ranking algorithm
- labeled data
- statistical learning theory
- learning algorithm
- active learning
- vc dimension
- machine learning
- cross domain
- reinforcement learning
- semi supervised learning
- learning machines
- multi task learning
- domain adaptation
- ensemble learning
- collaborative filtering
- multi class
- ranking functions
- support vector
- kernel machines
- target domain
- text categorization
- decision trees
- hyperplane
- generalization error
- semi supervised
- neural network
- kernel methods
- sample size
- training examples
- training samples
- text classification
- text mining
- information extraction
- recommender systems
- training data