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01:20:02

HSE SLT lecture 6: The agnostic setting and risk bounds

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BrunosTCSlectures
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Дата загрузки:
21.10.2025 14:46
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01:20:02
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Обучение

Описание

Measure concentration: Markov, Chebeyshev, Hoeffding bounds.
Risk, bias optimal classifier, risk decomposition.
Risk bounds for finite classes and bias complexity trade-off.
Risk bound using VC-dimension (the proof is similar as in previous lecture, it will be for homework)
Fundamental theorem of statistical learning theory.

Course website: http://wiki.cs.hse.ru/Statistical_learning_theory_2025

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