Aggregation in conformal e-classification

• URL: http://arxiv.org/abs/2605.07963v1
• Date: Fri, 08 May 2026 16:26:19 GMT
• Title: Aggregation in conformal e-classification
• Abstract summary: Cross-conformal e-prediction is an existing method of aggregating conformal e-predictors.<n>This paper studies experimentally cross-conformal e-prediction, which is an existing method of aggregating conformal e-predictors.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Aggregating conformal predictors is a standard way of balancing their predictive and computational efficiency while retaining their validity, at least approximately. An important advantage of conformal e-predictors is that they are easier to aggregate without sacrificing their validity. This paper studies experimentally cross-conformal e-prediction, which is an existing method of aggregating conformal e-predictors, and its modifications that are conceptually simpler and more flexible.

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