arXiv Machine Learning By Roberto Faleh, Sofia Morelli, Holger Brandt

Representation Learning for Semiparametric Causal Mediation Analysis under No Essential Heterogeneity

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arXiv:2607. 10540v1 Announce Type: cross Abstract: We propose a two-stage estimator for structural mediation parameters that combines deep representation learning with G-estimation under the "no essential heterogeneity" (NEH) assumption.

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arXiv Machine Learning
Jun 30

Distributional Causal Mediation via Conditional Generative Modeling

arXiv:2605. 01765v2 Announce Type: replace-cross Abstract: Mediation analysis has traditionally focused on outcome-level summary contrasts, such as mean effects, which may obscure substantial distributional changes induced by complex and nonlinear causal mechanisms.

By Jinlun Zhang, Haoneng Huang, Zishu Zhan, Chunquan Ou
arXiv AI
Jun 24

A Survey on Federated Causal Discovery and Inference

arXiv:2606. 23741v1 Announce Type: cross Abstract: Causal reasoning, which encompasses the discovery of causal structures and the inference of causal effects, is fundamental to data-driven decision making.

By Xianjie Guo, Yuwei Wang, Guodu Xiang, Xiaoli Tang, Kui Yu, Han Yu, Qiang Yang