Conformalized Quantile Regression and Minimax Limits of Fixed-Score Calibration under Known Covariate Shift
Paper derives nonasymptotic error bounds for split conformalized quantile regression under known covariate shift.
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Paper derives nonasymptotic error bounds for split conformalized quantile regression under known covariate shift.
CCL couples teacher calibration with student updates via token-level branching, provably removing teacher bias in LLM distillation.
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