Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation

arXiv:2403.14232v1 Announce Type: new
Abstract: Estimating the individuals' potential response to varying treatment doses is crucial for decision-making in areas such as precision medicine and management science. Most recent studies predict counterfactual outcomes by learning a covariate representation that is independent of the treatment variable. However, such independence constraints neglect much of the covariate information that is useful for counterfactual prediction, especially when the treatment variables are continuous. To tackle the above issue, in this paper, we first theoretically demonstrate …

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