Compressing and Teaching for Low VC-Dimension.
Shay MoranAmir ShpilkaAvi WigdersonAmir YehudayoffPublished in: FOCS (2015)
Keyphrases
- vc dimension
- upper bound
- sample complexity
- distribution free
- covering numbers
- vapnik chervonenkis dimension
- inductive inference
- concept classes
- sample size
- lower bound
- empirical risk minimization
- statistical learning theory
- compression scheme
- generalization bounds
- data compression
- euclidean space
- uniform convergence
- concept class
- function classes
- pac learnability
- active learning
- learning environment
- learning process
- e learning
- machine learning
- pac learning
- theoretical analysis
- wavelet transform
- special case
- training data