research
∙
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...
share
research
∙
03/26/2023
Achieving Counterfactual Fairness with Imperfect Structural Causal Model
Counterfactual fairness alleviates the discrimination between the model ...
research
∙
05/28/2021
Stochastic Intervention for Causal Inference via Reinforcement Learning
Causal inference methods are widely applied in various decision-making d...
research
∙
05/27/2021
Stochastic Intervention for Causal Effect Estimation
Causal inference methods are widely applied in various decision-making d...
research
∙
05/03/2021
Prototype-based Counterfactual Explanation for Causal Classification
Counterfactual explanation is one branch of interpretable machine learni...
research
∙
06/27/2020