Robust structure estimation of maximum causal entropy processes

The principle of maximum causal entropy extends random field models to settings with feedback and interaction by providing a framework for estimating a process based on its interactions with another known process. Previous work has assumed a causal structure for the influences of revealed information. In this work, we investigate the task of estimating this structure from data.