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stat.ML2024
Interventional Processes for Causal Uncertainty Quantification
Hugh Dance, Peter Orbanz, Arthur Gretton
Reliable uncertainty quantification for causal effects is crucial in high-stakes applications, but remains challenging when the target is an entire function rather than a scalar es…
stat.ME2024
Counterfactual Cocycles: A Framework for Robust and Coherent Counterfactual Transports
Hugh Dance, Benjamin Bloem-Reddy
Estimating joint distributions (a.k.a. couplings) over counterfactual outcomes is central to personalized decision-making and treatment risk assessment. Two emergent frameworks wit…