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Found 3 papers, 1 papers with code
Multiple Domain Causal Networks
Finally, we justify our approach by providing theoretical analyses that demonstrate that MDCN improves on the generalization bound of the new, unobserved target center.
Estimating Potential Outcome Distributions with Collaborating Causal Networks
However, existing methods for estimating treatment effect potential outcome distributions often impose restrictive or simplistic assumptions about these distributions.
Estimating Uncertainty Intervals from Collaborating Networks
We address these challenges by proposing a novel method to capture predictive distributions in regression by defining two neural networks with two distinct loss functions.
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