Reviews: Causal Effect Inference with Deep Latent-Variable Models
–Neural Information Processing Systems
However, five other causal diagrams can also be considered with confounder proxies (see Figure 1 in [Miao et al., 2016]). It would be interesting to check whether the proposed method can be applied to all these causal diagrams or there are some limitations. For instance, why covariates of x_i are independent given z_i? Is it restricting the expressive power of this method? For instance, in Experimental Results section, it is assumed that z is a 20-dimensional variable.
Neural Information Processing Systems
Oct-8-2024, 04:21:06 GMT
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