ML-WCP meta-learns a context-dependent likelihood ratio and uses it inside weighted conformal prediction to calibrate wireless AI with zero runtime data.
Recent advances in machine learning for network automation in the O-RAN,
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Calibrating Wireless AI via Meta-Learned Context-Dependent Conformal Prediction
ML-WCP meta-learns a context-dependent likelihood ratio and uses it inside weighted conformal prediction to calibrate wireless AI with zero runtime data.