Budgeted heterogeneous treatment effect estimation T Qin, TZ Wang, ZH Zhou International Conference on Machine Learning, 8693-8702, 2021 | 17 | 2021 |
Sound and complete causal identification with latent variables given local background knowledge TZ Wang, T Qin, ZH Zhou Advances in Neural Information Processing Systems 35, 10325-10338, 2022 | 8 | 2022 |
Actively identifying causal effects with latent variables given only response variable observable TZ Wang, ZH Zhou Advances in Neural Information Processing Systems 34, 15007-15018, 2021 | 8 | 2021 |
Cost-effectively identifying causal effects when only response variable is observable TZ Wang, XZ Wu, SJ Huang, ZH Zhou International Conference on Machine Learning, 10060-10069, 2020 | 8 | 2020 |
Towards identifying causal relation between instances and labels TZ Wang, SJ Huang, ZH Zhou Proceedings of the 2019 SIAM international conference on data mining, 289-297, 2019 | 7 | 2019 |
Estimating possible causal effects with latent variables via adjustment TZ Wang, T Qin, ZH Zhou International Conference on Machine Learning, 36308-36335, 2023 | 3 | 2023 |
Sound and complete causal identification with latent variables given local background knowledge TZ Wang, T Qin, ZH Zhou Artificial Intelligence 322, 103964, 2023 | 2 | 2023 |
Learning causal structure on mixed data with tree-structured functional models T Qin, TZ Wang, ZH Zhou Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 2 | 2023 |
Tracking treatment effect heterogeneity in evolving environments T Qin, LF Li, TZ Wang, ZH Zhou Machine Learning, 1-21, 2024 | 1 | 2024 |
Rehearsal Learning for Avoiding Undesired Future T Qin, TZ Wang, ZH Zhou Advances in Neural Information Processing Systems 36, 2024 | | 2024 |