Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP.
Xudong HanTimothy BaldwinTrevor CohnPublished in: CoRR (2023)
Keyphrases
- model selection
- cross validation
- hyperparameters
- sample size
- natural language processing
- parameter estimation
- motion segmentation
- generalization error
- mixture model
- error estimation
- bayesian learning
- meta learning
- selection criterion
- regression model
- statistical learning
- information criterion
- machine learning
- gaussian process
- variable selection
- statistical inference
- marginal likelihood
- model selection criteria
- parameter determination
- automatic model selection
- leave one out cross validation
- decision trees
- generalization bounds
- upper bound
- bayesian model selection