Statistical learning theory

The mathematical study of what can be learned from finite data and how performance depends on data, model classes, objectives, and algorithms.

The mathematical study of what can be learned from finite data and how performance depends on data, model classes, objectives, and algorithms.

is aResearch area All entries Open in graph

It includes questions of generalization, sample complexity, robustness, dependence, and fundamental limits.

Connections

related to
Implicit bias Statistical modeling
studies
Generalization Pretraining
uses
Empirical risk minimization

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