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This paper establishes sharp concentration inequalities for simple random tensors. Our theory unveils a phenomenon that arises only for asymmetric tensors of order when the effective ranks of the covariances of the component random variables lie on both sides of a critical threshold, an additional logarithmic factor emerges that is not present in sharp bounds for symmetric tensors. To establish our results, we develop empirical process theory for products of different function classes evaluated at different random variables, extending generic chaining techniques for quadratic and product empirical processes to higher-order settings.

生成讲解博客的中文版本

生成AI智能校验的中文版本