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Individually Conditional Individual Mutual Information Bound on Generalization Error

机译:单独有条件的各个相互信息,泛化误差

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We propose a new information-theoretic bound on generalization error based on a combination of the error decomposition technique of Bu et al. and the conditional mutual information (CMI) construction of Steinke and Zakynthinou. In a previous work, Haghifam et al. proposed a different bound combining the two aforementioned techniques, which we refer to as the conditional individual mutual information (CIMI) bound. However, in a simple Gaussian setting, both the CMI and the CIMI bounds are order-wise worse than that by Bu et al.. This observation motivated us to propose the new bound, which overcomes this issue by reducing the conditioning terms in the conditional mutual information. In the process of establishing this bound, a conditional decoupling lemma is established, which also leads to a meaningful dichotomy and comparison among these information-theoretic bounds.
机译:我们提出了一种基于Bu等人误差分解技术的组合来提出了一种新的信息理论界限。 和斯坦克和扎金诺的条件互信息(CMI)建设。 在上一个工作中,Haghifam等人。 提出了不同结合的两个上述技术,我们将其称为条件各个互信息(CIMI)绑定。 然而,在一个简单的高斯环境中,CMI和CIMI边界都是比Bu等人的顺序更糟糕。这一观察激励我们提出了新的界限,通过减少条件下的调节术语来克服这个问题 相互信息。 在建立这一结束的过程中,建立了一种有条件的去耦物质,这也导致了这些信息 - 理论界的有意义的二分法和比较。

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