Tian-Zuo Wang

According to our database, Tian-Zuo Wang authored at least 16 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Gradient-based causal discovery with latent variables.

Haotian Ni, Tian-Zuo Wang, Hong Tao, Xiuqi Huang, Chenping Hou

Mach. Learn., January, 2025

Estimating possible causal effects with latent variables via adjustment and novel rule orientation.

Tian-Zuo Wang, Lue Tao, Tian Qin, Zhi-Hua Zhou

Artif. Intell., 2025

Avoiding Undesired Future with Sequential Decisions.

Lue Tao, Tian-Zuo Wang, Yuan Jiang, Zhi-Hua Zhou

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Gradient-Based Nonlinear Rehearsal Learning with Multivariate Alterations.

Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Tracking treatment effect heterogeneity in evolving environments.

Tian Qin, Long-Fei Li, Tian-Zuo Wang, Zhi-Hua Zhou

Mach. Learn., June, 2024

New Rules for Causal Identification with Background Knowledge.

Tian-Zuo Wang, Lue Tao, Zhi-Hua Zhou

CoRR, 2024

Avoiding Undesired Future with Minimal Cost in Non-Stationary Environments.

Wen-Bo Du, Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

An Efficient Maximal Ancestral Graph Listing Algorithm.

Tian-Zuo Wang, Wen-Bo Du, Zhi-Hua Zhou

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

2023

Learning Causal Structure on Mixed Data with Tree-Structured Functional Models.

Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Rehearsal Learning for Avoiding Undesired Future.

Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Estimating Possible Causal Effects with Latent Variables via Adjustment.

Tian-Zuo Wang, Tian Qin, Zhi-Hua Zhou

Proceedings of the International Conference on Machine Learning, 2023

2022

Sound and Complete Causal Identification with Latent Variables Given Local Background Knowledge.

Tian-Zuo Wang, Tian Qin, Zhi-Hua Zhou

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

2021

Actively Identifying Causal Effects with Latent Variables Given Only Response Variable Observable.

Tian-Zuo Wang, Zhi-Hua Zhou

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Budgeted Heterogeneous Treatment Effect Estimation.

Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Cost-effectively Identifying Causal Effects When Only Response Variable is Observable.

Tian-Zuo Wang, Xi-Zhu Wu, Sheng-Jun Huang, Zhi-Hua Zhou

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Towards Identifying Causal Relation Between Instances and Labels.

Tian-Zuo Wang, Sheng-Jun Huang, Zhi-Hua Zhou

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019