New conditional independence assumptions enable mixture proportion estimation and kernel tests for conditional independence without relying on irreducibility.
[Yes] (b) An analysis of the properties and complexity (time, space, sample size) of any algorithm
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Mixture Proportion Estimation and Weakly-supervised Kernel Test for Conditional Independence
New conditional independence assumptions enable mixture proportion estimation and kernel tests for conditional independence without relying on irreducibility.