• Patent Title: PREDICTING COUNTERFACTUALS BY UTILIZING BALANCED NONLINEAR REPRESENTATIONS FOR MATCHING MODELS
  • Application No.: US16138403
    Application Date: 2018-09-21
  • Publication No.: US20200097997A1
    Publication Date: 2020-03-26
  • Inventor: Sheng Li
  • Applicant: Adobe Inc.
  • Main IPC: G06Q30/02
  • IPC: G06Q30/02 G06F15/18 G06F17/16 G06K9/62
PREDICTING COUNTERFACTUALS BY UTILIZING BALANCED NONLINEAR REPRESENTATIONS FOR MATCHING MODELS
Abstract:
The present disclosure relates to systems, methods, and non-transitory computer readable media for generating counterfactuals low-dimensional balanced nonlinear representations for a matching model. For example, the disclosed systems can utilize an ordinal scatter discrepancy model and a maximum mean discrepancy model to generate low-dimensional balanced nonlinear representations of units. In addition, the disclosed systems can generate counterfactuals based on the low-dimensional balanced nonlinear representations by utilizing a matching model. Further, the disclosed systems can determine an average treatment effect on treated units based on the generated counterfactuals.
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