31 citations · 78 across the 15 of their papers we have counts for
5 papers · 1 filter
Deep Treatment-Adaptive Network for Causal Inference
Qian Li, Zhichao Wang, Shaowu Liu +2
Causal inference is capable of estimating the treatment effect (i.e., the causal effect of treatment on the outcome) to benefit the decision making in various domains. One fundamen…
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…
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…
Be Causal: De-biasing Social Network Confounding in Recommendation
Qian Li, Xiangmeng Wang, Guandong Xu
In recommendation systems, the existence of the missing-not-at-random (MNAR) problem results in the selection bias issue, degrading the recommendation performance ultimately. A com…
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…