Publications by authors named "Yiman Ren"

Article Synopsis
  • Several methods exist for estimating causal effects, but most struggle with complex data types like images.
  • The proposed Causal Multi-task Deep Ensemble (CMDE) framework effectively learns both shared and unique information from different groups within a study population.
  • CMDE demonstrates superior performance over current state-of-the-art methods by efficiently managing high-dimensional data and providing reliable estimates of causal effects across various datasets and tasks.*
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