Picture for Tri Dung Duong

Tri Dung Duong

Achieving Counterfactual Fairness with Imperfect Structural Causal Model

Add code
Mar 26, 2023
Viaarxiv icon

CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data using Normalizing Flows

Add code
Mar 26, 2023
Viaarxiv icon

Stochastic Intervention for Causal Inference via Reinforcement Learning

Add code
May 28, 2021
Figure 1 for Stochastic Intervention for Causal Inference via Reinforcement Learning
Figure 2 for Stochastic Intervention for Causal Inference via Reinforcement Learning
Figure 3 for Stochastic Intervention for Causal Inference via Reinforcement Learning
Figure 4 for Stochastic Intervention for Causal Inference via Reinforcement Learning
Viaarxiv icon

Stochastic Intervention for Causal Effect Estimation

Add code
May 27, 2021
Figure 1 for Stochastic Intervention for Causal Effect Estimation
Figure 2 for Stochastic Intervention for Causal Effect Estimation
Figure 3 for Stochastic Intervention for Causal Effect Estimation
Figure 4 for Stochastic Intervention for Causal Effect Estimation
Viaarxiv icon

Prototype-based Counterfactual Explanation for Causal Classification

Add code
May 06, 2021
Figure 1 for Prototype-based Counterfactual Explanation for Causal Classification
Figure 2 for Prototype-based Counterfactual Explanation for Causal Classification
Figure 3 for Prototype-based Counterfactual Explanation for Causal Classification
Figure 4 for Prototype-based Counterfactual Explanation for Causal Classification
Viaarxiv icon

Causality Learning: A New Perspective for Interpretable Machine Learning

Add code
Jun 27, 2020
Figure 1 for Causality Learning: A New Perspective for Interpretable Machine Learning
Figure 2 for Causality Learning: A New Perspective for Interpretable Machine Learning
Figure 3 for Causality Learning: A New Perspective for Interpretable Machine Learning
Viaarxiv icon