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03/26/2023
CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data using Normalizing Flows
Counterfactual explanation is a form of interpretable machine learning t...
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03/26/2023
Achieving Counterfactual Fairness with Imperfect Structural Causal Model
Counterfactual fairness alleviates the discrimination between the model ...
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05/28/2021
Stochastic Intervention for Causal Inference via Reinforcement Learning
Causal inference methods are widely applied in various decision-making d...
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05/27/2021
Stochastic Intervention for Causal Effect Estimation
Causal inference methods are widely applied in various decision-making d...
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05/03/2021
Prototype-based Counterfactual Explanation for Causal Classification
Counterfactual explanation is one branch of interpretable machine learni...
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06/27/2020
