Review for NeurIPS paper: A Study on Encodings for Neural Architecture Search

Summary and Contributions: Post Rebuttal I thank the authors for taking the time to address my review and conducting more experiments. With the new experiments the paper became certainly stronger. Also apologies that I missed the additional experiments on Nasbench201 in the appendix. I increase my score (6- 7) and recommend acceptance of the paper. The paper studies the impact of various types of adjacency matrix and path encodings for neural network architectures, both theoretically and practically, and their effect on common sub-tasks of neural architecture search methods: random sampling, perturbation and training a predictor model.