41 citations · 43 across the 6 of their papers we have counts for
Showing 2021Show all
3 papers · 1 filter
cs.AI2021
Stochastic Intervention for Causal Inference via Reinforcement Learning
Tri Dung Duong, Qian Li, Guandong Xu
Causal inference methods are widely applied in various decision-making domains such as precision medicine, optimal policy and economics. Central to causal inference is the treatmen…
cs.AI2021
Stochastic Intervention for Causal Effect Estimation
Tri Dung Duong, Qian Li, Guandong Xu
Causal inference methods are widely applied in various decision-making domains such as precision medicine, optimal policy and economics. Central to these applications is the treatm…
cs.LG2021★ 1 cited
Causality-based Counterfactual Explanation for Classification Models
Tri Dung Duong, Qian Li, Guandong Xu
Counterfactual explanation is one branch of interpretable machine learning that produces a perturbation sample to change the model's original decision. The generated samples can ac…