Conformal Seasonal Pools is a training-free method that outperforms DeepNPTS on CRPS, quantile loss, and especially 95% coverage (0.89 vs 0.66) across six time-series datasets while being over 500x faster on CPU.
and Wasserman, Larry , title =
2 Pith papers cite this work. Polarity classification is still indexing.
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A conformal risk control fusion of k-mer Jaccard, five-LLM panel scores, and embedding centroid similarities certifies E[FNR] ≤ α for DNA hazard screening under taxonomic shift, achieving 0% miss rate across leave-one-family-out folds at α=0.05.
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Training-Free Probabilistic Time-Series Forecasting with Conformal Seasonal Pools
Conformal Seasonal Pools is a training-free method that outperforms DeepNPTS on CRPS, quantile loss, and especially 95% coverage (0.89 vs 0.66) across six time-series datasets while being over 500x faster on CPU.
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CRC-Screen: Certified DNA-Synthesis Hazard Screening Under Taxonomic Shift
A conformal risk control fusion of k-mer Jaccard, five-LLM panel scores, and embedding centroid similarities certifies E[FNR] ≤ α for DNA hazard screening under taxonomic shift, achieving 0% miss rate across leave-one-family-out folds at α=0.05.