CE-RCFR: Robust Counterfactual Regression for Consensus-Enabled Treatment Effect Estimation
Estimating individual treatment effects (ITE) from observational data is challenging due to
the absence of counterfactuals and the treatment selection bias. Prevalent ITE estimation …
the absence of counterfactuals and the treatment selection bias. Prevalent ITE estimation …
Revisit Targeted Model Poisoning on Federated Recommendation: Optimize via Multi-objective Transport
Federated Recommendation (FedRec) is popularly investigated in personalized
recommenders for preserving user privacy. However, due to the distributed training …
recommenders for preserving user privacy. However, due to the distributed training …
Semantic Codebook Learning for Dynamic Recommendation Models
Dynamic sequential recommendation (DSR) can generate model parameters based on user
behavior to improve the personalization of sequential recommendation under various user …
behavior to improve the personalization of sequential recommendation under various user …
Towards Efficient and Diverse Generative Model for Unconditional Human Motion Synthesis
Recent generative methods have revolutionized the way of human motion synthesis, such
as Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), and …
as Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), and …