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Neural Information Processing Systems 

I have read the paper fast classification rates for high-dimensional conditional Gaussian models". The paper studies the problem of binary classification using a Gaussian model and provides some theoretical results on the convergence of the classification error rates (compared to the Bayes classifier). The paper presents some nice theoretical results and is interesting to some extent. I am generally positive about the paper but I have the following concerns. First, it is about the practical relevance.