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PAC learning

Probably Approximately Correct (PAC) learning analyzes machine learning mathematically using probability bounds.

Papers

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Showing 111–120 of 289 papers

TitleStatusHype
Credit Attribution and Stable Compression—0
Is Efficient PAC Learning Possible with an Oracle That Responds 'Yes' or 'No'?—0
Is Out-of-Distribution Detection Learnable?—0
Is Transductive Learning Equivalent to PAC Learning?—0
Active Learning for Contextual Search with Binary Feedbacks—0
Learnability can be undecidable—0
Transductive Learning Is Compact—0
Learnability with PAC Semantics for Multi-agent Beliefs—0
Learnable: Theory vs Applications—0
A Closer Look at the Learnability of Out-of-Distribution (OOD) Detection—0
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