Sara Magliacane

Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions

2017 · arXiv (Cornell University)

An important goal common to domain adaptation and causal inference is to make accurate predictions when the distributions for the source (or training) domain(s) and target (or test) domain(s) differ. In many cases, these different …