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Found 4 papers, 2 papers with code
Efficient Data-Dependent Learnability
This approach has yields a learnability measure that can also be interpreted as a stability measure.
A New Look at an Old Problem: A Universal Learning Approach to Linear Regression
Linear regression is a classical paradigm in statistics.
Deep pNML: Predictive Normalized Maximum Likelihood for Deep Neural Networks
Finally, we extend the pNML to a ``twice universal'' solution, that provides universality for model class selection and generates a learner competing with the best one from all model classes.
Universal Supervised Learning for Individual Data
Universal supervised learning is considered from an information theoretic point of view following the universal prediction approach, see Merhav and Feder (1998).
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