Tian-Zuo Wang

Wen-Bo Du

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Strong and Weak Identifiability of Optimization-based Causal Discovery in Non-linear Additive Noise Models.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Enabling Optimal Decisions in Rehearsal Learning under CARE Condition.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Gradient-Based Nonlinear Rehearsal Learning with Multivariate Alterations.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Mach. Learn., June, 2024

New Rules for Causal Identification with Background Knowledge.

[BibT_eX]

[DOI]

Lue Tao

CoRR, 2024

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Wen-Bo Du

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

2023

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

[BibT_eX]

[DOI]

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

Rehearsal Learning for Avoiding Undesired Future.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Budgeted Heterogeneous Treatment Effect Estimation.

[BibT_eX]

[DOI]

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

2020

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

[BibT_eX]

[DOI]

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

2019

Towards Identifying Causal Relation Between Instances and Labels.

[BibT_eX]

[DOI]

Sheng-Jun Huang