Aug 4, 2022 · We extend conformal prediction to control the expected value of any monotone loss function. The algorithm generalizes split conformal prediction together with ...
Nov 9, 2023 · This paper extends conformal prediction to control the expected value of any monotone loss function. This type of guarantee called conformal risk control can be ...
Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vision and natural ...
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We extend conformal prediction to control the expected value of any monotone loss function. The algorithm generalizes split conformal prediction together ...
May 1, 2024 · In this work, we seek to control the conformal risk in expectation for ordinal classification tasks, which have broad applications to many real ...
Like full conformal prediction, full conformal risk control allows the use of all data for both model training and calibration, and is thus more data-efficient ...
A novel convex optimization approach that allows for multidimensional risk control while provably minimizing the mean interval length.
In this work, we seek to control the conformal risk in expectation for ordinal classification tasks, which have broad applications to many real problems.
Abstract. We extend conformal prediction to control the expected value of any monotone loss function. The algorithm generalizes split conformal prediction ...
We extend conformal prediction to control the expected value of any monotone loss function. The algorithm generalizes split conformal prediction together with ...
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