Optimal PAC Bounds without Uniform Convergence.
Ishaq Aden-AliYeshwanth CherapanamjeriAbhishek ShettyNikita ZhivotovskiyPublished in: FOCS (2023)
Keyphrases
- uniform convergence
- vc dimension
- covering numbers
- sample complexity
- empirical risk minimization
- upper bound
- generalization bounds
- worst case
- sufficient conditions
- learning rate
- pac learning
- upper and lower bounds
- lower bound
- statistical learning theory
- large deviations
- risk minimization
- gaussian kernels
- reproducing kernel hilbert space
- theoretical analysis
- generalization error
- learning algorithm
- mistake bound
- asymptotically optimal
- concept classes
- distribution free
- inductive inference
- real valued
- learning problems
- special case
- optimal solution
- function classes
- reinforcement learning
- generalization ability
- ranking functions
- sample size
- data points