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2020 – today
- 2024
[j3]Tri Dung Duong
, Qian Li, Guandong Xu:
Achieving counterfactual fairness with imperfect structural causal model. Expert Syst. Appl. 240: 122411 (2024)- [j2]Tri Dung Duong, Qian Li, Guandong Xu:
Causality-based counterfactual explanation for classification models. Knowl. Based Syst. 300: 112200 (2024) - 2023
- [c3]Tri Dung Duong, Qian Li, Guandong Xu:
CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data Using Normalizing Flows. PAKDD (2) 2023: 133-144 - [i6]Tri Dung Duong, Qian Li, Guandong Xu:
Achieving Counterfactual Fairness with Imperfect Structural Causal Model. CoRR abs/2303.14665 (2023) - [i5]Tri Dung Duong, Qian Li, Guandong Xu:
CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data using Normalizing Flows. CoRR abs/2303.14668 (2023) - 2022
- [j1]Tri Dung Duong, Qian Li, Guandong Xu:
Stochastic intervention for causal inference via reinforcement learning. Neurocomputing 482: 40-49 (2022) - 2021
- [c2]Qian Li, Tri Dung Duong, Zhichao Wang, Shaowu Liu, Dingxian Wang, Guandong Xu:
Causal-Aware Generative Imputation for Automated Underwriting. CIKM 2021: 3916-3924 - [c1]Tri Dung Duong, Qian Li, Guandong Xu:
Stochastic Intervention for Causal Effect Estimation. IJCNN 2021: 1-8 - [i4]Tri Dung Duong, Qian Li, Guandong Xu:
Prototype-based Counterfactual Explanation for Causal Classification. CoRR abs/2105.00703 (2021) - [i3]Tri Dung Duong, Qian Li, Guandong Xu:
Stochastic Intervention for Causal Effect Estimation. CoRR abs/2105.12898 (2021) - [i2]Tri Dung Duong, Qian Li, Guandong Xu:
Stochastic Intervention for Causal Inference via Reinforcement Learning. CoRR abs/2105.13514 (2021) - 2020
- [i1]Guandong Xu, Tri Dung Duong, Qian Li, Shaowu Liu, Xianzhi Wang:
Causality Learning: A New Perspective for Interpretable Machine Learning. CoRR abs/2006.16789 (2020)
Coauthor Index
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