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stat.ML2026
Co-optimization for Adaptive Conformal Prediction
Xiaoyi Su, Zhixin Zhou, Rui Luo
Conformal prediction (CP) provides finite-sample, distribution-free marginal coverage, but standard conformal regression intervals can be inefficient under heteroscedasticity and s…
stat.ML2026
Fast Conformal Prediction using Conditional Interquantile Intervals
Naixin Guo, Rui Luo, Zhixin Zhou
We introduce Conformal Interquantile Regression (CIR), a conformal regression method that efficiently constructs near-minimal prediction intervals with guaranteed coverage. CIR lev…
stat.ML2024
Weighted Aggregation of Conformity Scores for Classification
Rui Luo, Zhixin Zhou
Conformal prediction is a powerful framework for constructing prediction sets with valid coverage guarantees in multi-class classification. However, existing methods often rely on…