2020
CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods
ICML 2020poster
We study the problem of learning Granger causality between event types from asynchronous, interdependent, multi-type event sequences. Existing work suffers from either limited model flexibility or poor model explainability and thus fails to uncover Granger causality across a wide variety of event se…