Locally Valid and Discriminative Confidence Intervals for Deep Learning Models.
Zhen LinShubhendu TrivediJimeng SunPublished in: CoRR (2021)
Keyphrases
- learning models
- confidence intervals
- semi supervised learning
- machine learning
- sample size
- markov chain
- loss function
- learning algorithm
- learning tasks
- semi supervised
- conditional random fields
- machine learning algorithms
- test set
- learning problems
- classification models
- unsupervised learning
- monte carlo
- stopping rules
- labeled data
- unlabeled data
- natural language
- feature extraction
- decision trees
- roc curve
- feature selection