Testing Distributional Assumptions of Learning Algorithms.
Ronitt RubinfeldArsen VasilyanPublished in: STOC (2023)
Keyphrases
- distributional assumptions
- learning algorithm
- machine learning algorithms
- supervised learning
- training data
- active learning
- learning problems
- learning tasks
- test cases
- real world
- deep architectures
- artificial intelligence
- data sets
- real time
- learning paradigms
- test suite
- generalization error
- transfer learning
- test set
- unlabeled data
- database
- reinforcement learning
- case study
- knowledge base
- neural network
- machine learning