from a domain e 2E

Neural Information Processing Systems 

In this paper, we assume that the (b) Concept shift. Thus, in the above SCM, X and e are concept shift. We compare structural causal models (SCMs) for covariate shift and concept shift. The language of causal inference provides further intuition for the structure imposed on Problem 3.1 by Assumptions 4.1 and 4.2. In particular, the structural causal model (SCM) for problems in which data is generated according to the mechanism described in Assumptions 4.1 and 4.2 is shown in Figure 7a. Recall that in Assumption 4.1 imposes that X and e are causes of the random variable X X. Further, in Assumption 4.2, we assume that P(Y To offer a point of comparison, in Figure 7b, we show a different SCM that does not fulfill our assumptions.