Arhaan Ahmad — accepted AI-conference papers

2026

Data Aware and Scalable Sensitivity Analysis for Decision Tree Ensembles

Arhaan Ahmad, S. Akshay, Ashutosh Gupta, Tanay Vineet Tayal, Namrita Varshney

ICLR 2026poster

Decision tree ensembles are widely used in critical domains, making robustness and sensitivity analysis essential to their trustworthiness. We study the feature sensitivity problem, which asks whether an ensemble is ``sensitive" to a specified subset of features - such as protected attributes- whose…

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2025

Sensitivity Verification for Additive Decision Tree Ensembles

Arhaan Ahmad, Tanay Vineet Tayal, Ashutosh Gupta, S. Akshay

ICLR 2025poster

Tree ensemble models, such as Gradient Boosted Decision Trees (GBDTs) and random forests, are widely popular models for a variety of machine learning tasks. The power of these models comes from the ensemble of decision trees, which makes analysis of such models significantly harder than for single t…

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