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stat.ML2026
Optimal Decision-Making Based on Prediction Sets
Tao Wang, Edgar Dobriban
Prediction sets can wrap around any ML model to cover unknown test outcomes with a guaranteed probability. Yet, it remains unclear how to use them optimally for downstream decision…
stat.ML2026
Singleton-Optimized Conformal Prediction
Tao Wang, Yan Sun, Edgar Dobriban
Conformal prediction can be used to construct prediction sets that cover the true outcome with a desired probability, but can sometimes lead to large prediction sets that are costl…