There is a formal definition for the difficulty of learning something
Research in machine learning and learning theory explicitly proposes theoretical definitions and measures for the difficulty of learning tasks and data.
Judged against reference works: claims of this kind are settled by reference works, not journal abstracts.
ar5iv.labs.arxiv.org: [2205.07427] Exploring the Learning Difficulty of Data: Theory and Measure. ar5iv.labs.arxiv.org. https://ar5iv.labs.arxiv.org/html/2205.07427
States that existing measures lacked a rigorous foundation and proposes a theoretical definition of learning difficulty.
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export.arxiv.org: (untitled). export.arxiv.org. https://export.arxiv.org/pdf/2205.07427v2.pdf
Notes previous lack of a formal definition and proposes a theoretical definition of learning difficulty based on bias-variance trade-off.
export.arxiv.org: Model-agnostic Measure of Generalization Difficulty. export.arxiv.org. https://export.arxiv.org/pdf/2305.01034v2.pdf
Proposes a model-agnostic measure to quantify generalization difficulty in machine learning tasks.
doi.org: Measuring the Difficulty of Specific Learning Problems. doi.org. https://doi.org/10.1080/09540099508915658
Discusses complexity measures and evaluating the degree of generic difficulty for specific learning problems.
ar5iv.labs.arxiv.org: [1904.03292] The Information Complexity of Learning Tasks, their Structure and their Distance. ar5iv.labs.arxiv.org. https://ar5iv.labs.arxiv.org/html/1904.03292
Introduces a framework to compute the complexity of learning tasks, relating to the difficulty of learning.
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