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Found 3 papers, 1 papers with code
Confounded Budgeted Causal Bandits
This algorithm generalizes the state-of-the-art methods by allowing non-uniform costs and hidden confounders in the causal graph.
On sample complexity of conditional independence testing with Von Mises estimator with application to causal discovery
This, in turn, allows us to characterize the sample complexity of any constraint-based causal discovery algorithm that uses VM-CI for CI tests.
Causal Effect Identification with Context-specific Independence Relations of Control Variables
We study the problem of causal effect identification from observational distribution given the causal graph and some context-specific independence (CSI) relations.
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