Tag: counterfactual
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Interpretable Model-Aware Counterfactual Explanations for Random Forest
Interpretable Model-Aware Counterfactual Explanations for Random Forest arXiv:2510.27397v1 Announce Type: new Abstract: Despite their enormous predictive power, machine learning models are often unsuitable for applications in regulated industries such as finance, due to their limited capacity to provide explanations. While model-agnostic frameworks such as Shapley values have proved to be convenient and popular, they rarely…
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Counterfactual Survival Q Learning for Longitudinal Randomized Trials via Buckley James Boosting
Counterfactual Survival Q Learning for Longitudinal Randomized Trials via Buckley James Boosting arXiv:2508.11060v1 Announce Type: new Abstract: We propose a Buckley James (BJ) Boost Q learning framework for estimating optimal dynamic treatment regimes under right censored survival data, tailored for longitudinal randomized clinical trial settings. The method integrates accelerated failure time models with iterative boosting…
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Flow IV: Counterfactual Inference In Nonseparable Outcome Models Using Instrumental Variables
Flow IV: Counterfactual Inference In Nonseparable Outcome Models Using Instrumental Variables arXiv:2508.01321v1 Announce Type: new Abstract: To reach human level intelligence, learning algorithms need to incorporate causal reasoning. But identifying causality, and particularly counterfactual reasoning, remains an elusive task. In this paper, we make progress on this task by utilizing instrumental variables (IVs). IVs are…