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Adapting Neural Networks for the Estimation of Treatment Effects We propose two adaptations based on insights from the statistical literature on the estimation of treatment effects The first is a new architecture, the Dragonnet, that exploits the sufficiency of the propensity score for estimation adjustment
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Dragonnet | Group 223 NJ Wing DragonNET is THE official electronic communications method for all CAP related business in NJ Wing Your DragonNET email account is generally created at the beginning of the month, following the month that you join
DragonNet — CausalForge documentation DragonNet Reference: Claudia Shi et al, Adapting Neural Networks for the Estimation of Treatment Effects, NeurIPS 2019 Implementation remarks: our implementation is exactly the same of the original paper with the exception of a sklearn preprocessing StandardScaler which was originally used to scale predictions DragonNet on IHDP
pytorch implementation of dragonnet - GitHub Pytorch implementation of DragonNet from the paper: Shi, C , Blei, D and Veitch, V , 2019 Adapting neural networks for the estimation of treatment effects Advances in neural information processing systems, 32 arxiv link Author's original Tensorflow implementation
DragonNET E-Mail | Jimmy Stewart Composite Squadron DragonNET is THE official electronic communications method for all CAP related business in NJ Wing Your DragonNET email account is generally created at the beginning of the month, following the month that you join