| On the opportunity of causal learning in recommendation systems: Foundation, estimation, prediction and challenges P Wu, H Li, Y Deng, W Hu, Q Dai, Z Dong, J Sun, R Zhang, XH Zhou International Joint Conference on Artificial Intelligence (2022), 2022 | 71 | 2022 |
| StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random H Li, C Zheng, P Wu The Eleventh International Conference on Learning Representations, 2023 | 62 | 2023 |
| A generalized doubly robust learning framework for debiasing post-click conversion rate prediction Q Dai, H Li, P Wu, Z Dong, XH Zhou, R Zhang, R Zhang, J Sun Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 52 | 2022 |
| Propensity Matters: Measuring and Enhancing Balancing for Recommendation H Li, Y Xiao, C Zheng, P Wu, P Cui Proceedings of the 40-th International Conference on Machine Learning, 2023 | 45 | 2023 |
| Addressing unmeasured confounder for recommendation with sensitivity analysis S Ding, P Wu, F Feng, Y Wang, X He, Y Liao, Y Zhang Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 45 | 2022 |
| Balancing unobserved confounding with a few unbiased ratings in debiased recommendations H Li, Y Xiao, C Zheng, P Wu Proceedings of the ACM Web Conference 2023, 1305-1313, 2023 | 44 | 2023 |
| TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations H Li, Y Lyu, C Zheng, P Wu The Eleventh International Conference on Learning Representations, 2023 | 44 | 2023 |
| Multiple robust learning for recommendation H Li, Q Dai, Y Li, Y Lyu, Z Dong, XH Zhou, P Wu Proceedings of the AAAI conference on artificial intelligence 37 (4), 4417-4425, 2023 | 38 | 2023 |
| Causal recommendation: Progresses and future directions W Wang, Y Zhang, H Li, P Wu, F Feng, X He Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 31 | 2023 |
| Removing hidden confounding in recommendation: a unified multi-task learning approach H Li, K Wu, C Zheng, Y Xiao, H Wang, Z Geng, F Feng, X He, P Wu Advances in Neural Information Processing Systems 36, 54614-54626, 2023 | 29 | 2023 |
| Trustworthy Policy Learning under the Counterfactual No-Harm Criterion H Li, C Zheng, Y Cao, Z Geng, Y Liu, P Wu Proceedings of the 40-th International Conference on Machine Learning, 2023 | 25 | 2023 |
| Debiased collaborative filtering with kernel-based causal balancing H Li, C Zheng, Y Xiao, P Wu, Z Geng, X Chen, P Cui arXiv preprint arXiv:2404.19596, 2024 | 18 | 2024 |
| Identification and estimation of treatment effects on long-term outcomes in clinical trials with external observational data W Hu, X Zhou, P Wu Statistica Sinica, 2023 | 15 | 2023 |
| Who should be given incentives? counterfactual optimal treatment regimes learning for recommendation H Li, C Zheng, P Wu, K Kuang, Y Liu, P Cui Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 13 | 2023 |
| Propensity score regression for causal inference with treatment heterogeneity P Wu, SS Han, X Tong, R Li Statistica Sinica, 2022 | 13 | 2022 |
| Model-assisted inference for covariate-specific treatment effects with high-dimensional data P Wu, Z Tan, W Hu, XH Zhou Statistica Sinica, 2022 | 12 | 2022 |
| Uncovering the propensity identification problem in debiased recommendations H Zhang, S Wang, H Li, C Zheng, X Chen, L Liu, S Luo, P Wu 2024 IEEE 40th International Conference on Data Engineering (ICDE), 653-666, 2024 | 11 | 2024 |
| Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference H Li, C Zheng, S Ding, P Wu, Z Geng, F Feng, X He The Twelfth International Conference on Learning Representations, 2024 | 11 | 2024 |
| Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering H Li, C Zheng, S Wang, K Wu, E Wang, P Wu, Z Geng, X Chen, XH Zhou Forty-first International Conference on Machine Learning, 2024 | 10 | 2024 |
| Semiparametric estimation for average causal effects using propensity score-based spline P Wu, X Xu, X Tong, Q Jiang, B Lu Journal of Statistical Planning and Inference 212, 153-168, 2021 | 8 | 2021 |
Haoxuan LiPeking UniversityVerificeret mail på stu.pku.edu.cn