# Terminology for the weight of likelihood ratio/score function?

If we estimate the gradient of $$f(x)$$ using the likelihood ratio/score function, i.e. $$\nabla f = f^*\dfrac{\partial \log p(x)}{\partial \theta}$$ is there any agreed upon terminology to call "$$f^*$$"? Specifically I'm thinking of the case where you may use some sort of baseline/control variate or a critic, so $$f^*$$ is not $$f$$.

I've seen $$f^*$$ called the learning signal or the cost. In reinforcement learning, you would call $$f^*$$ the advantage, but I think that terminology is only specific for RL. What is a general way to call $$f^*$$ that is not specific to RL?