A Value Theory of Meta-Learning Algorithms

Abraham Bagherjeiran

We use game theory to analyze meta-learning algorithms. The objective of meta-learning is to determine which algorithm to apply on a given task. This is an instance of a more general problem that consists of allocating knowledge consumers to learning producers. Solving this general problem in the field of meta-learning yields solutions for related fields such as information retrieval and recommender systems.

Subjects: 12. Machine Learning and Discovery; 1.10 Information Retrieval


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