central limit theorem
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c9e1074f5b3f9fc8ea15d152add07294-AuthorFeedback.pdf
We thank the reviewers for their useful feedback and their time. We have corrected all the minor comments, as suggested. We now provide specific answers to each reviewer below. We thank the reviewer for their positive evaluation of our work and their comments. "All the theoretical contributions seem to me a bit marginal" Since the Sliced-Wasserstein distance is an average of one-6 We will explain these observations more explicitly to clarify our contributions.
Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking
Large Language Models that are evaluated on multiple metrics.
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ADynamical Central Limit Theorem for Shallow Neural Networks
Also, while Assumption 2.4 implies pointof2.5
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