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From the 1 of 22 linked papers with an AI index.

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20242026
most citedTheoretical Foundations of Conformal Prediction

8 citations · 8 across the 10 of their papers we have counts for

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9 papers · 1 filter

stat.ME2026

Local permutation tests for conditional independence: an adaptive binning perspective

David Chen, Rohan Hore, Rina Foygel Barber

In this work, we study the problem of testing conditional independence between random variables and given a confounder . The local permutation test (LPT) offers a princi…

stat.ME2026

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…

stat.ME2026

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…

stat.ME2026

Testing conditional independence under isotonicity

Rohan Hore, Jake A. Soloff, Rina Foygel Barber +1

We propose a test of the conditional independence of random variables and~ given~ under the additional assumption that is stochastically nondecreasing in~. The wel…

stat.ME2026

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…

stat.ME2025

Can a calibration metric be both testable and actionable?

Raphael Rossellini, Jake A. Soloff, Rina Foygel Barber +2

Forecast probabilities often serve as critical inputs for binary decision making. In such settings, calibration$\unicode{x2014}$ensuring forecasted probabilities match empirical fr…