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Achieving the highest minority recall across 33 datasets, this model reshapes how we approach label aggregation in imbalanced crowdsourcing scenarios.
Despite their similar theoretical guarantees, NUTS-BPS converges faster than NUTS-mul, offering a potential efficiency boost for high-dimensional Bayesian inference.
