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New research advances conformal prediction for uncertainty quantification · 5 sources tracked

Researchers have developed new methods for conformal prediction, a framework used to quantify uncertainty in machine learning models. One paper proposes probabilistic Bernoulli prediction sets (BPS) that can express bot…