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stat.ML2025
Individualised Counterfactual Examples Using Conformal Prediction Intervals
James M. Adams, Gesine Reinert, Lukasz Szpruch +2
Counterfactual explanations for black-box models aim to pr ovide insight into an algorithmic decision to its recipient. For a binary classification problem an individual counterfac…
stat.ML2025
A Pure Hypothesis Test for Inhomogeneous Random Graph Models Based on a Kernelised Stein Discrepancy
Anum Fatima, Gesine Reinert
Complex data are often represented as a graph, which in turn can often be viewed as a realisation of a random graph, such as an inhomogeneous random graph model (IRG). For general…
stat.ML2025
Learning to Fuse Temporal Proximity Networks: A Case Study in Chimpanzee Social Interactions
Yixuan He, Aaron Sandel, David Wipf +3
How can we identify groups of primate individuals which could be conjectured to drive social structure? To address this question, one of us has collected a time series of data for…