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2024 ICML ICML 2024

Position: The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Micah Goldblum, Marc Anton Finzi, Keefer Rowan, Andrew Gordon Wilson

Topics

Artificial Intelligence > Core AI > Foundation Models Machine Learning > Core Methods > Representation Learning Deep Learning > Architectures > Neural Networks

Keywords

kolmogorov complexity pre-trained model large language model neural network inductive biases low-complexity data
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