Cause Effect Pairs in Machine Learning

This book presents ground-breaking advances in the domain of causal structure learning. The problem of distinguishing cause from effect (“Does altitude cause a change in atmospheric pressure, or vice versa?”) is here cast as a binary classification problem, to be tackled by machine learning algorithms. Based on the results of the ChaLearn Cause-Effect Pairs Challenge , this book reveals that the joint distribution of two variables can be scrutinized by machine learning algorithms to reveal the p