Reviews: Reliable training and estimation of variance networks

Post-Rebuttal Feedback Thank the reviewers for your feedback. I think this is a good paper to appear in NeurIPS. This paper tackles the uncertainty prediction via directly predicting the marginal mean and variances. For assuring the reliability of its uncertainty estimation, the paper presents a series of interesting techniques for training the prediction network, including location-aware mini-batching, mean-variance split training and variance networks. With all these techniques adopted, the paper demonstrates convincing empirical results on its uncertainty estimation. Weakness, I am surprised by the amazing empirical performance and the simplicity of the method.