4 papers
Approximating full conformal prediction: distribution free guarantees via the tournament correction
Aabesh Bhattacharyya, Boxuan Zhang, Rina Foygel Barber
Conformal prediction is a framework for providing prediction intervals with distribution-free validity, guaranteeing predictive coverage for data drawn from any distribution. Its t…
Conformal Prediction with Macro-Coverage Guarantees
Aabesh Bhattacharyya, Tiffany Ding, Rina Foygel Barber
Prediction sets should have high coverage to be useful, but some coverage notions are more practically relevant than others. In the classification setting, class-conditional covera…
Conditioning on posterior samples for flexible frequentist goodness-of-fit testing
Ritwik Bhaduri, Aabesh Bhattacharyya, Rina Foygel Barber +1
Tests of goodness of fit are used in nearly every domain where statistics is applied. One powerful and flexible approach is to sample artificial data sets that are exchangeable wit…
Group-Weighted Conformal Prediction
Aabesh Bhattacharyya, Rina Foygel Barber
Conformal prediction (CP) is a method for constructing a prediction interval around the output of a fitted model, whose validity does not rely on the model being correct--the CP in…