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Tag: interventional

  • DoFlow: Causal Generative Flows for Interventional and Counterfactual Time-Series Prediction

    DoFlow: Causal Generative Flows for Interventional and Counterfactual Time-Series Prediction arXiv:2511.02137v1 Announce Type: new Abstract: Time-series forecasting increasingly demands not only accurate observational predictions but also causal forecasting under interventional and counterfactual queries in multivariate systems. We present DoFlow, a flow based generative model defined over a causal DAG that delivers coherent observational and interventional…

  • Learning Joint Interventional Effects from Single-Variable Interventions in Additive Models

    Learning Joint Interventional Effects from Single-Variable Interventions in Additive Models arXiv:2506.04945v1 Announce Type: new Abstract: Estimating causal effects of joint interventions on multiple variables is crucial in many domains, but obtaining data from such simultaneous interventions can be challenging. Our study explores how to learn joint interventional effects using only observational data and single-variable interventions.…