Error Exponent in Agnostic PAC Learning

Keyphrases

• Agnostic 100%
• Agnostic Learning 40%
• Binary Classification 20%
• Convergence Rate 20%
• Dependent Errors 20%
• Distribution Dependence 20%
• Error Exponent 100%
• Error Probability 20%
• Error-correcting 20%
• Exponential Behavior 40%
• Information Theory 20%
• Knowledge Distillation 20%
• Learning Algorithm 20%
• Learning Problems 20%
• Mathematical Learning Model 20%
• Statistical Learning Theory 20%
• Typical Scenario 20%
• VC Theory 20%
• Worst-case Bounds 20%

Mathematics

• Binary Classification 50%
• Convergence Rate 50%
• Information Theory 50%
• Mathematical Learning 50%
• Probability Theory 100%
• Stability Assumption 50%
• Wide Range 50%
• Worst Case 50%