Generalization Bounds for Causal Regression: Insights, Guarantees and Sensitivity Analysis.
Daniel CsillagCláudio José StruchinerGuilherme Tegoni GoedertPublished in: CoRR (2024)
Keyphrases
- sensitivity analysis
- generalization bounds
- model selection
- data dependent
- learning theory
- generalization ability
- regression model
- managerial insights
- statistical learning theory
- learning machines
- ranking algorithm
- vc dimension
- cross validation
- learning problems
- empirical risk minimization
- reproducing kernel hilbert space
- hyperparameters
- ranking functions
- uniform convergence
- linear classifiers
- bayesian networks
- support vector
- data mining
- statistical learning
- machine learning
- special case
- feature selection
- generalization error
- learning tasks
- sample size
- supervised learning
- active learning
- kernel machines
- learning algorithm