3 papers
cs.LG2024
Revisiting Counterfactual Regression through the Lens of Gromov-Wasserstein Information Bottleneck
Hao Yang, Zexu Sun, Hongteng Xu +1
As a promising individualized treatment effect (ITE) estimation method, counterfactual regression (CFR) maps individuals' covariates to a latent space and predicts their counterfac…
cs.LG2024
MTN: Multi-gate Mixture-of-Experts based Multi-valued Treatment Network for Uplift Modeling
Zexu Sun, Xu Chen
Uplift modeling is a technique used to predict the effect of a treatment (e.g., discounts) on an individual's response. Although several methods have been proposed for multi-valued…
cs.LG2023
Offline Imitation Learning with Variational Counterfactual Reasoning
Bowei He, Zexu Sun, Jinxin Liu +3
In offline imitation learning (IL), an agent aims to learn an optimal expert behavior policy without additional online environment interactions. However, in many real-world scenari…