GRAPHLCP improves localized conformal prediction on graphs by using feature-aware densification and Personalized PageRank kernels to incorporate topology for better coverage and efficiency.
A tutorial on conformal prediction.Journal of Machine Learning Research, 9(3)
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A decomposition-based modular conformal prediction method for two-stage models with FWER-controlled stage-wise scaling and adaptive extension for non-stationary data.
A new filtration-based conformal prediction method attributes errors in multi-agent systems by producing contiguous sequence sets with finite-sample coverage guarantees, enabling rollback recovery.
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GRAPHLCP: Structure-Aware Localized Conformal Prediction on Graphs
GRAPHLCP improves localized conformal prediction on graphs by using feature-aware densification and Personalized PageRank kernels to incorporate topology for better coverage and efficiency.
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Decomposition-Based Modular Conformal Prediction for Two-Stage Modeling
A decomposition-based modular conformal prediction method for two-stage models with FWER-controlled stage-wise scaling and adaptive extension for non-stationary data.
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Conformal Agent Error Attribution
A new filtration-based conformal prediction method attributes errors in multi-agent systems by producing contiguous sequence sets with finite-sample coverage guarantees, enabling rollback recovery.