| Pac-learning for strategic classification R Sundaram, A Vullikanti, H Xu, F Yao Journal of Machine Learning Research 24 (192), 1-38, 2023 | 44 | 2023 |
| How Bad is Top- Recommendation under Competing Content Creators? F Yao, C Li, D Nekipelov, H Wang, H Xu International Conference on Machine Learning, 39674-39701, 2023 | 24 | 2023 |
| Rethinking incentives in recommender systems: are monotone rewards always beneficial? F Yao, C Li, KA Sankararaman, Y Liao, Y Zhu, Q Wang, H Wang, H Xu Advances in Neural Information Processing Systems 36, 74582-74601, 2023 | 14 | 2023 |
| Reversible action design for combinatorial optimization with reinforcement learning F Yao, R Cai, H Wang arXiv preprint arXiv:2102.07210, 2021 | 11 | 2021 |
| Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict? F Yao, C Li, D Nekipelov, H Wang, H Xu arXiv preprint arXiv:2402.15467, 2024 | 10 | 2024 |
| Learning the optimal recommendation from explorative users F Yao, C Li, D Nekipelov, H Wang, H Xu Proceedings of the AAAI Conference on Artificial Intelligence 36 (9), 9457-9465, 2022 | 8 | 2022 |
| Preference Elicitation with Soft Attributes in Interactive Recommendation E Biyik, F Yao, Y Chow, A Haig, C Hsu, M Ghavamzadeh, C Boutilier arXiv preprint arXiv:2311.02085, 2023 | 6 | 2023 |
| Learning from a learning user for optimal recommendations F Yao, C Li, D Nekipelov, H Wang, H Xu International Conference on Machine Learning, 25382-25406, 2022 | 5 | 2022 |
| Deep learning based prediction towards designing a smart building assistant system A Sarker, F Yao, H Shen, H Zhao, H Zhu, H Lone, L Barnes, B Campbell, ... 2020 IEEE 17th International Conference on Mobile Ad Hoc and Sensor Systems …, 2020 | 5 | 2020 |
| User welfare optimization in recommender systems with competing content creators F Yao, Y Liao, M Wu, C Li, Y Zhu, J Yang, J Liu, Q Wang, H Xu, H Wang Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 4 | 2024 |
| Multi-agent learning for iterative dominance elimination: Formal barriers and new algorithms J Wu, H Xu, F Yao Conference on Learning Theory, 543-543, 2022 | 4 | 2022 |
| Unveiling user satisfaction and creator productivity trade-offs in recommendation platforms F Yao, Y Liao, J Liu, S Nie, Q Wang, H Xu, H Wang arXiv preprint arXiv:2410.23683, 2024 | 3 | 2024 |
| Query-efficient and imperceptible attacks on multivariate time series dnn models H Shen, F Yao, T Sen, G Moreira, A Sarker 2022 IFIP Networking Conference (IFIP Networking), 1-9, 2022 | 1 | 2022 |
| Policy Design for Two-sided Platforms with Participation Dynamics H Kiyohara, F Yao, S Dean arXiv preprint arXiv:2502.01792, 2025 | | 2025 |
| The Complexity of Tullock Contests Y He, F Yao, Y Yu, X Qiu, M Li, H Xu arXiv preprint arXiv:2412.06444, 2024 | | 2024 |
| Learning from Imperfect Human Feedback: a Tale from Corruption-Robust Dueling Y Cheng, F Yao, X Liu, H Xu arXiv preprint arXiv:2405.11204, 2024 | | 2024 |
| An End-to-End Solution for Spatial Inference in Smart Buildings M Wu, F Yao, H Wang Proceedings of the 10th ACM International Conference on Systems for Energy …, 2023 | | 2023 |
| Uncoupled Bandit Learning towards Rationalizability: Benchmarks, Barriers, and Algorithms J Wu, H Xu, F Yao arXiv preprint arXiv:2111.05486, 2021 | | 2021 |
| Mean field study of a propagation-turnover lattice model for the dynamics of histone marking F Yao, FT Li, TJ Li Science China Physics, Mechanics & Astronomy 60, 1-15, 2017 | | 2017 |
Haifeng XuUniversity of ChicagoVerified email at uchicago.edu