New conditional independence assumptions enable mixture proportion estimation and kernel tests for conditional independence without relying on irreducibility.
˜K1S ∈R M×M and ˜K2S ∈R M×M are the Gram matrices associated with ˜k1S and ˜k2S, defined by( ˜K1S)ij = ˜k1S(vx1S ,i,v x1S ,j)and( ˜K2S)ij = ˜k2S(vx2S ,i,v x2S ,j)
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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.