Review for NeurIPS paper: Counterfactual Data Augmentation using Locally Factored Dynamics

Neural Information Processing Systems 

Weaknesses: Theoretical: The authors provide little formal justification for their approach. One of the main contributions seems to be the increase of effective sample size by performing data augmentation. What is unclear is why the increase actually happens. In remark 3.1, the authors attempt to answer the question "How much data can we generate using model-free CoDA?", claiming an exponential increase in data. This fact is not immediately clear.