yaringal

If you have a Gaussian likelihood (equivalently, Euclidean loss) then the likelihood can take values larger than 1 (it's a density, not a probability mass). So the loss+penalty terms (i.e....

"Under the formula (2) and (3), the probility output has a gaussian distribution." * no, the random variable y follows a Gaussian distribution under (2) only. It follows a categorical...

Well spotted! The tau inverse (ie variance) should be inside the squared root. I'll have a look at your code when I get back to the UK next week (from...

it's a hyperparameter which depends on the function and the range of the X (incidentally, make sure your data is normalised)

Ideally yes with neural networks On Thu, 12 Oct 2017, 12:46 Shubhanshu Mishra, wrote: > Oh thanks. Yes, I didn't normalize my data, but made sure that the range >...