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The Function in the paper #6

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ahustr opened this issue Mar 11, 2024 · 1 comment
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The Function in the paper #6

ahustr opened this issue Mar 11, 2024 · 1 comment

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@ahustr
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ahustr commented Mar 11, 2024

Thank you for your wonderful paper, but I have a question about a formula:
image
In my understanding. If we ask for maximum likelihood, the parameters of the model have a certain value but are unknown, and we estimate it using a sample from the population, but you have a formula here where the parameters are constantly changing. If we look at the following equation in the paper:
image
You seem to have used only a single point for estimating the parameters.

@udion
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udion commented Oct 28, 2024

I am not sure I follow the question here, how is the above any different than learning \mu, \sigma of typical Gaussian with maximum likelihood?

Maybe refer here (aleatoric uncertainty), here: https://arxiv.org/pdf/1703.04977 which describes the similar process, but standard Gaussian.

@udion udion closed this as completed Oct 28, 2024
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