AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Multi-Source Randomly Localized Conformal Prediction is proposed, which builds on the local coverage properties of randomly localized conformal prediction and extends it to multiple sources through data-adaptive source selection and establishes finite-sample coverage bounds using an interpretable notion of envelope dis...
The Conformal LOwer bound on Changepoint Count (CLOCC) is shown to be the only feasible way to provide a lower bound on K under the stated assumptions, a property it is referred to as its universality.
In this work, we study the problem of testing conditional independence between random variables $X$ and $Y$ given a confounder $Z$. The local permutation test (LPT) offers a principled approach to this problem by partitioning the $Z$-space into pre-specified bins, and permuting the $X$ and $Y$ data within each bin, to...
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