Thanh Vinh Vo

According to our database, Thanh Vinh Vo authored at least 18 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Knowledge Sharing and Transfer via Centralized Reward Agent for Multi-Task Reinforcement Learning.

Haozhe Ma, Zhengding Luo, Thanh Vinh Vo, Kuankuan Sima, Tze-Yun Leong

CoRR, 2024

Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning.

Haozhe Ma, Zhengding Luo, Thanh Vinh Vo, Kuankuan Sima, Tze-Yun Leong

CoRR, 2024

Decoupled Prompt-Adapter Tuning for Continual Activity Recognition.

Di Fu, Thanh Vinh Vo, Haozhe Ma, Tze-Yun Leong

CoRR, 2024

Reward Shaping for Reinforcement Learning with An Assistant Reward Agent.

Haozhe Ma, Kuankuan Sima, Thanh Vinh Vo, Di Fu, Tze-Yun Leong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Mixed-Initiative Bayesian Sub-Goal Optimization in Hierarchical Reinforcement Learning.

Haozhe Ma, Thanh Vinh Vo, Tze-Yun Leong

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Transfer Kernel Learning for Multi-Source Transfer Gaussian Process Regression.

Pengfei Wei, Thanh Vinh Vo, Xinghua Qu, Yew Soon Ong, Zejun Ma

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Federated Learning of Causal Effects from Incomplete Observational Data.

Thanh Vinh Vo, Young Lee, Tze-Yun Leong

CoRR, 2023

Discovering Low-Dimensional Causal Pathways between Multiple Interacting Neuronal Populations.

Evangelos Sigalas, Thanh Vinh Vo, Tze-Yun Leong, Camilo Libedinsky

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Hierarchical Reinforcement Learning with Human-AI Collaborative Sub-Goals Optimization.

Haozhe Ma, Thanh Vinh Vo, Tze-Yun Leong

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Bayesian federated estimation of causal effects from observational data.

Thanh Vinh Vo, Young Lee, Trong Nghia Hoang, Tze-Yun Leong

Proceedings of the Uncertainty in Artificial Intelligence, 2022

An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects.

Thanh Vinh Vo, Arnab Bhattacharyya, Young Lee, Tze-Yun Leong

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Adaptive Multi-Source Causal Inference from Observational Data.

Thanh Vinh Vo, Pengfei Wei, Trong Nghia Hoang, Tze-Yun Leong

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Federated Estimation of Causal Effects from Observational Data.

Thanh Vinh Vo, Trong Nghia Hoang, Young Lee, Tze-Yun Leong

CoRR, 2021

Adaptive Multi-Source Causal Inference.

Thanh Vinh Vo, Pengfei Wei, Trong Nghia Hoang, Tze-Yun Leong

CoRR, 2021

Causal Modeling with Stochastic Confounders.

Thanh Vinh Vo, Pengfei Wei, Wicher Bergsma, Tze-Yun Leong

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

A Causal Modeling Framework with Stochastic Confounders.

Thanh Vinh Vo, Pengfei Wei, Wicher Bergsma, Tze-Yun Leong

CoRR, 2020

2018

Generation meets recommendation: proposing novel items for groups of users.

Thanh Vinh Vo, Harold Soh

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Z-Transforms and its Inference on Partially Observable Point Processes.

Young Lee, Thanh Vinh Vo, Kar Wai Lim, Harold Soh

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018