Submitted by AlmightySnoo t3_117iqtp in MachineLearning
notdelet t1_j9g627c wrote
Reply to comment by [deleted] in [D] On papers forcing the use of GANs where it is not relevant by AlmightySnoo
> Assuming Gaussianity and then using maximum likelihood gives yields an L2 error minimization problem.
Incorrect, only true if you fix the scale parameter. I normally wouldn't nitpick like this but your unnecessary usage of bold made me.
> (if you interpret training as maximum likelihood estimation)
> a squared loss does not "hide a Gaussian assumption".
It does... if you interpret training as (conditional) MLE. Give me a non-Gaussian distribution with an MLE estimator that yields MSE loss. Also, residuals are explicitly not orthogonal projections whenever the variables are dependent.
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