AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Software in production encounters inputs shaped by how it is used in practice. We study distribution-aware reliability estimation: given a program, its operational input distribution, and a condition of interest, determine how often that condition holds and certify the result with a guaranteed error bound. Symbolic and...
These results do not resolve the existence problem, but they reduce the exact search space and improve the best verified partial construction found in the authors' experiments.
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