Álvaro Parafita
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aparafita.bsky.social
Álvaro Parafita
@aparafita.bsky.social
290 followers 94 following 4 posts
Senior Researcher at Barcelona Supercomputing Center | PhD in Causal Estimation with estimand-agnostic frameworks, working on Machine Learning Explainability

Github: @aparafita
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aparafita.bsky.social
Thrilled to announce that our paper “Practical do-Shapley Explanations with Estimand-Agnostic Causal Inference” has been accepted at #NeurIPS2025 with spotlight! 🎉

🔗 arxiv.org/abs/2509.20211

If you're working on #ExplainableAI, #SHAP, or #Causality, we'd love for you to check it out!
Paper's first page, including the abstract: Among explainability techniques, SHAP stands out as one of the most popular, but often overlooks the causal structure of the problem. In response, do-SHAP employs interventional queries, but its reliance on estimands hinders its practical application. To address this problem, we propose the use of estimand-agnostic approaches, which allow for the estimation of any identifiable query from a single model, making do-SHAP feasible on complex graphs. We also develop a novel algorithm to significantly accelerate its computation at a negligible cost, as well as a method to explain inaccessible Data Generating Processes. We demonstrate the estimation and computational performance of our approach, and validate it on two real-world datasets, highlighting its potential in obtaining reliable explanations.
September 25, 2025 at 3:13 PM