BSLI is a Bayesian selective inference method that maintains posteriors over latent burden and identifiability, uses scientific gates for answerability, and optimizes cost-calibrated query-stop decisions via an exact Bellman policy, showing improved performance on a large benchmark.
Yonatan Geifman and Ran El-Yaniv
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Bayesian Selective Latent Inference for Wastewater-First Influenza Monitoring
BSLI is a Bayesian selective inference method that maintains posteriors over latent burden and identifiability, uses scientific gates for answerability, and optimizes cost-calibrated query-stop decisions via an exact Bellman policy, showing improved performance on a large benchmark.