Empirical or Invariant Risk Minimization? A Sample Complexity Perspective.
Kartik AhujaJun WangAmit DhurandharKarthikeyan ShanmugamKush R. VarshneyPublished in: CoRR (2020)
Keyphrases
- sample complexity
- risk minimization
- generalization error
- uniform convergence
- theoretical analysis
- vc dimension
- empirical risk
- upper bound
- active learning
- covering numbers
- pac learning
- learning algorithm
- supervised learning
- cross validation
- model selection
- sample size
- upper and lower bounds
- lower bound
- concept classes
- learning problems
- training data
- special case
- loss function
- training examples
- training set
- machine learning
- statistical learning theory
- data sets
- feature extraction