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Equation of miminizer for loss with upweighted point z is wrong in section 10.5.2 #402

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nicolasguillard opened this issue Sep 13, 2024 · 0 comments

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@nicolasguillard
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Hi,

This equation
$\hat{\theta} _{\epsilon,z} = \text{argmin} _{\theta \in \Theta} (1 - \epsilon) \frac{1}{n} \sum _{i=1}^n{}L(z_i,\theta)+\epsilon{}L(z,\theta)$
is wrong and was updated in the version v2 of the paper by Koh and Liang (2017) : The $(1 - \epsilon)$ factor was removed.
The correct equation is : $\hat{\theta} _{\epsilon,z} \text{argmin} _{\theta \in \Theta} \frac{1}{n} \sum _{i=1}^n{}L(z_i,\theta)+\epsilon{}L(z,\theta)$

nicolasguillard added a commit to nicolasguillard/interpretable-ml-book that referenced this issue Sep 13, 2024
Update 06.5-example-based-influence-fct.Rmd updating the latex code of the equation of miminizer for loss with upweighted point z is wrong in section 10.5.2
nicolasguillard added a commit to nicolasguillard/interpretable-ml-book that referenced this issue Sep 13, 2024
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