Empirical or Invariant Risk Minimization? A Sample Complexity Perspective.
Kartik AhujaJun WangAmit DhurandharKarthikeyan ShanmugamKush R. VarshneyPublished in: ICLR (2021)
Keyphrases
- sample complexity
- risk minimization
- generalization error
- uniform convergence
- theoretical analysis
- empirical risk
- covering numbers
- active learning
- upper bound
- vc dimension
- learning algorithm
- cross validation
- model selection
- training data
- pac learning
- concept classes
- lower bound
- learning problems
- supervised learning
- special case
- training set
- upper and lower bounds
- loss function
- sample size
- machine learning
- training examples
- average case
- decision trees