Thanh Vinh Vo

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Hierarchical Reinforcement Learning

Causal Relationships

Observational Data

Top Venues

Publications

Di Fu, Thanh Vinh Vo, Haozhe Ma, Tze-Yun Leong
Decoupled Prompt-Adapter Tuning for Continual Activity Recognition. CoRR (2024)
Haozhe Ma, Thanh Vinh Vo, Tze-Yun Leong
Mixed-Initiative Bayesian Sub-Goal Optimization in Hierarchical Reinforcement Learning. AAMAS (2024)
Thanh Vinh Vo, Arnab Bhattacharyya, Young Lee, Tze-Yun Leong
An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects. CoRR (2023)
Thanh Vinh Vo, Young Lee, Tze-Yun Leong
Federated Learning of Causal Effects from Incomplete Observational Data. CoRR (2023)
Pengfei Wei, Thanh Vinh Vo, Xinghua Qu, Yew Soon Ong, Zejun Ma
Transfer Kernel Learning for Multi-Source Transfer Gaussian Process Regression. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Evangelos Sigalas, Thanh Vinh Vo, Tze-Yun Leong, Camilo Libedinsky
Discovering Low-Dimensional Causal Pathways between Multiple Interacting Neuronal Populations. CogSci (2023)
Haozhe Ma, Thanh Vinh Vo, Tze-Yun Leong
Hierarchical Reinforcement Learning with Human-AI Collaborative Sub-Goals Optimization. AAMAS (2023)
Thanh Vinh Vo, Arnab Bhattacharyya, Young Lee, Tze-Yun Leong
An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects. NeurIPS (2022)
Thanh Vinh Vo, Young Lee, Trong Nghia Hoang, Tze-Yun Leong
Bayesian federated estimation of causal effects from observational data. UAI (2022)
Thanh Vinh Vo, Pengfei Wei, Trong Nghia Hoang, Tze-Yun Leong
Adaptive Multi-Source Causal Inference from Observational Data. CIKM (2022)
Thanh Vinh Vo, Pengfei Wei, Trong Nghia Hoang, Tze-Yun Leong
Adaptive Multi-Source Causal Inference. CoRR (2021)
Thanh Vinh Vo, Trong Nghia Hoang, Young Lee, Tze-Yun Leong
Federated Estimation of Causal Effects from Observational Data. CoRR (2021)
Thanh Vinh Vo, Pengfei Wei, Wicher Bergsma, Tze-Yun Leong
Causal Modeling with Stochastic Confounders. AISTATS (2021)
Thanh Vinh Vo, Pengfei Wei, Wicher Bergsma, Tze-Yun Leong
A Causal Modeling Framework with Stochastic Confounders. CoRR (2020)
Thanh Vinh Vo, Harold Soh
Generation meets recommendation: proposing novel items for groups of users. RecSys (2018)
Thanh Vinh Vo, Harold Soh
Generation Meets Recommendation: Proposing Novel Items for Groups of Users. CoRR (2018)
Young Lee, Thanh Vinh Vo, Kar Wai Lim, Harold Soh
Z-Transforms and its Inference on Partially Observable Point Processes. IJCAI (2018)