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An Almost Optimal PAC Algorithm

Published on Aug 20, 20152216 Views

The best currently known general lower and upper bounds on the number of labeled examples needed for learning a concept class in the PAC framework (the realizable case) do not perfectly match: they le

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Chapter list

An Almost Optimal PAC Algorithm00:00
Outline - 100:53
Outline - 201:03
PAC Learning and Sample Complexity01:08
Warmuth’s Open Problem from COLT 200402:15
Our Contribution03:03
Our Contribution (continued)04:00
Outline - 304:56
The Old and the New Policy05:26
Learner Transformation: from L to LK06:24
Outline - 407:01
A Central Feature of the Proof07:19
Step 1: Decomposition of the Total Error Set09:15
Step 2: Decomposition of P(EJ)10:46
Step 3: Setting Up a Recursion on εk13:08
Step 4: Solving the Recursion13:38
Step 5: Putting Everything Together14:20
Outline - 515:16
Final Remarks15:21