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Swagatam Haldar

2 accepted papers

2024

Trust Regions for Explanations via Black-Box Probabilistic Certification

ICML 2024poster

Given the black box nature of machine learning models, a plethora of explainability methods have been developed to decipher the factors behind individual decisions. In this paper, we introduce a novel problem of black box (probabilistic) explanation certification. We ask the question: Given a black…

2023

Interpretable differencing of machine learning models

UAI 2023poster

Understanding the differences between machine learning (ML) models is of interest in scenarios ranging from choosing amongst a set of competing models, to updating a deployed model with new training data. In these cases, we wish to go beyond differences in overall metrics such as accuracy to identif…