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07/31/2023
Conformal PID Control for Time Series Prediction
We study the problem of uncertainty quantification for time series predi...
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07/05/2022
Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets
The regulatory approval and broad clinical deployment of medical AI have...
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02/10/2022
Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging
Image-to-image regression is an important learning task, used frequently...
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02/08/2022
Conformal prediction for the design problem
In many real-world deployments of machine learning, we use a prediction ...
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10/03/2021
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control
We introduce Learn then Test, a framework for calibrating machine learni...
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07/15/2021
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification
Black-box machine learning learning methods are now routinely used in hi...
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02/11/2021
Private Prediction Sets
In real-world settings involving consequential decision-making, the depl...
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04/07/2020
