7 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Causal Policy Learning in Reinforcement Learning: Backdoor-Adjusted Soft Actor-Critic
Thanh Vinh Vo, Young Lee, Haozhe Ma +2
Hidden confounders that influence both states and actions can bias policy learning in reinforcement learning (RL), leading to suboptimal or non-generalizable behavior. Most RL algo…
cs.LG2023★ 1 cited
Federated Causal Inference from Observational Data
Thanh Vinh Vo, Young lee, Tze-Yun Leong
Decentralized data sources are prevalent in real-world applications, posing a formidable challenge for causal inference. These sources cannot be consolidated into a single entity o…
cs.LG2023★ 7 cited
An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects
Thanh Vinh Vo, Arnab Bhattacharyya, Young Lee +1
We propose a new causal inference framework to learn causal effects from multiple, decentralized data sources in a federated setting. We introduce an adaptive transfer algorithm th…