Generalization Error without Independence: Denoising, Linear Regression, and Transfer Learning.
Chinmaya KausikKashvi SrivastavaRishi SonthaliaPublished in: CoRR (2023)
Keyphrases
- linear regression
- generalization error
- transfer learning
- denoising
- active learning
- learning algorithm
- least squares
- labeled data
- learning tasks
- cross validation
- model selection
- sample complexity
- training data
- training set
- image processing
- upper bound
- machine learning
- cross domain
- supervised learning
- regression problems
- machine learning algorithms
- semi supervised learning
- reinforcement learning
- collaborative filtering
- semi supervised
- sample size
- domain adaptation
- multi task learning
- training examples
- text categorization
- multi task
- neural network
- boosting algorithms