Statistical Modeling

In course

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Description

This lecture covers exercises related to statistical modeling, focusing on topics such as input data from Gibbs Ising, pruning in GCM, fairness in multiclass classification, backward compatibility measure, and simplification in teacher-student models. The slides also discuss various notes, meetings, seminars, and corrections from previous weeks.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_ixlmrl3h

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Ontological neighbourhood

Mathematics

Number theory: Number theory

Theoretical computer science

Programming language theory: High-level programming languages

Information engineering

Machine learning: Topics in machine learning

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