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Independence weights for causal inference with continuous exposures
Studying causal effects of continuous exposures is important for gaining...
07/15/2021 ∙ by Jared D. Huling, et al. ∙
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A Generalizability Score for Aggregate Causal Effect
Scientists frequently generalize population level causal quantities such...
06/27/2021 ∙ by Rui Chen, et al. ∙
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More Generalizable Models For Sepsis Detection Under Covariate Shift
Sepsis is a major cause of mortality in the intensive care units (ICUs)....
05/19/2021 ∙ by Jifan Gao, et al. ∙
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Robust Sample Weighting to Facilitate Individualized Treatment Rule Learning for a Target Population
Learning individualized treatment rules (ITRs) is an important topic in ...
05/03/2021 ∙ by Rui Chen, et al. ∙
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Zero-shot Cross-lingual Transfer of Neural Machine Translation with Multilingual Pretrained Encoders
Previous works mainly focus on improving cross-lingual transfer for NLU ...
04/18/2021 ∙ by Guanhua Chen, et al. ∙
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Causal inference methods for combining randomized trials and observational studies: a review
With increasing data availability, treatment causal effects can be evalu...
11/16/2020 ∙ by Bénédicte Colnet, et al. ∙
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Propagation analysis and prediction of the COVID-19
Based on the official data modeling, this paper studies the transmission...
03/15/2020 ∙ by Lixiang Li, et al. ∙
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Constructing Stabilized Dynamic Treatment Regimes
We propose a new method termed stabilized O-learning for deriving stabil...
08/03/2018 ∙ by Ying-Qi Zhao, et al. ∙
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Biclustering Via Sparse Clustering
In many situations it is desirable to identify clusters that differ with...
07/11/2014 ∙ by Qian Liu, et al. ∙
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