Provides the first explicit formula for partial information decomposition atoms satisfying Williams and Beer's axioms via a novel do-operation.
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Collective agency arises when a group's joint actions are faithfully captured by a simpler causal model of unified rational behavior.
A general method for causal effect estimation under unknown network dependence by combining structure learning and interference modeling, shown on synthetic datasets.
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Explicit Formula for Partial Information Decomposition
Provides the first explicit formula for partial information decomposition atoms satisfying Williams and Beer's axioms via a novel do-operation.
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Causal Foundations of Collective Agency
Collective agency arises when a group's joint actions are faithfully captured by a simpler causal model of unified rational behavior.
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Causal Inference Under Interference And Network Uncertainty
A general method for causal effect estimation under unknown network dependence by combining structure learning and interference modeling, shown on synthetic datasets.