Lecture

Complexity: Approximation-Estimation Trade-off

In course

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Description

This lecture covers the explicit and implicit control of complexity in hypothesis spaces, including variables, polynomial functions, spline functions, wavelet approximations, and RKHS bandwidth. It also discusses risk decomposition, the approximation-estimation trade-off, overfitting, regularization, prediction error, bias-variance tradeoff, and the complexity of models.

Official source

https://mediaspace.epfl.ch/media/0_o7epdw5a

About this result

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Ontological neighbourhood

Statistics

Data analysis: Cross-validation

Mathematics

Analysis: Numerical analysis

Theoretical computer science

Theory of computation: Computational complexity theory

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