Peng Wu
Orcid: 0000-0001-7154-8880Affiliations:
- Beijing Technology and Business University (BTBU), Beijing, China
According to our database1,
Peng Wu
authored at least 16 papers
between 2022 and 2023.
Collaborative distances:
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Bibliography
2023
Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations.
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Who Should Be Given Incentives? Counterfactual Optimal Treatment Regimes Learning for Recommendation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the International Conference on Machine Learning, 2023
StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction.
CoRR, 2022
CoRR, 2022
Doubly Robust Collaborative Targeted Learning for Recommendation on Data Missing Not at Random.
CoRR, 2022
A Semi-Synthetic Dataset Generation Framework for Causal Inference in Recommender Systems.
CoRR, 2022
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022