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Conformal prediction can now achieve subgroup reliability without explicit group labels or sacrificing efficiency by learning a stochastic grouping map that pools calibration information locally.
GOAL not only optimizes advertising incentives but also adapts seamlessly to varying ROI constraints without the need for retraining, revolutionizing how we approach incentivized user engagement.
