Hey, I’m the post author — thanks for reading.
Theta represents all the model params — all the weights in the neural network. The convention is to write theta for the “learned” score function and omit theta for the “true” score function.
Theta represents all the model params — all the weights in the neural network. The convention is to write theta for the “learned” score function and omit theta for the “true” score function.
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