Invention Application
- Patent Title: PREDICTING COUNTERFACTUALS BY UTILIZING BALANCED NONLINEAR REPRESENTATIONS FOR MATCHING MODELS
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Application No.: US16138403Application Date: 2018-09-21
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Publication No.: US20200097997A1Publication Date: 2020-03-26
- Inventor: Sheng Li
- Applicant: Adobe Inc.
- Main IPC: G06Q30/02
- IPC: G06Q30/02 ; G06F15/18 ; G06F17/16 ; G06K9/62

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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