| Contextual bandits in a collaborative environment Q Wu, H Wang, Q Gu, H Wang Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016 | 119 | 2016 |
| Factorization bandits for interactive recommendation H Wang, Q Wu, H Wang Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 116 | 2017 |
| Learning hidden features for contextual bandits H Wang, Q Wu, H Wang Proceedings of the 25th ACM international on conference on information and …, 2016 | 88 | 2016 |
| Adversarial domain adaptation for machine reading comprehension H Wang, Z Gan, X Liu, J Liu, J Gao, H Wang arXiv preprint arXiv:1908.09209, 2019 | 69 | 2019 |
| Machine learning for synthetic data generation: a review Y Lu, M Shen, H Wang, X Wang, C van Rechem, W Wei arXiv preprint arXiv:2302.04062, 2023 | 64 | 2023 |
| Unbiased learning to rank: online or offline? Q Ai, T Yang, H Wang, J Mao ACM Transactions on Information Systems (TOIS) 39 (2), 1-29, 2021 | 59 | 2021 |
| Factorization bandits for online influence maximization Q Wu, Z Li, H Wang, W Chen, H Wang Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 41 | 2019 |
| Variance reduction in gradient exploration for online learning to rank H Wang, S Kim, E McCord-Snook, Q Wu, H Wang Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 40 | 2019 |
| Solving verbal comprehension questions in iq test by knowledge-powered word embedding H Wang, F Tian, B Gao, J Bian, TY Liu arXiv preprint arXiv:1505.07909, 2015 | 40* | 2015 |
| Efficient exploration of gradient space for online learning to rank H Wang, R Langley, S Kim, E McCord-Snook, H Wang The 41st international ACM SIGIR conference on research & development in …, 2018 | 37 | 2018 |
| Global and local differential privacy for collaborative bandits H Wang, Q Zhao, Q Wu, S Chopra, A Khaitan, H Wang Proceedings of the 14th ACM Conference on Recommender Systems, 150-159, 2020 | 28 | 2020 |
| Dynamic ensemble of contextual bandits to satisfy users' changing interests Q Wu, H Wang, Y Li, H Wang The World Wide Web Conference, 2080-2090, 2019 | 27 | 2019 |
| Communication efficient distributed learning for kernelized contextual bandits C Li, H Wang, M Wang, H Wang Advances in Neural Information Processing Systems 35, 19773-19785, 2022 | 18 | 2022 |
| Pairrank: Online pairwise learning to rank by divide-and-conquer Y Jia, H Wang, S Guo, H Wang Proceedings of the web conference 2021, 146-157, 2021 | 15 | 2021 |
| Incentivized exploration for multi-armed bandits under reward drift Z Liu, H Wang, F Shen, K Liu, L Chen Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4981-4988, 2020 | 12 | 2020 |
| When are linear stochastic bandits attackable? H Wang, H Xu, H Wang International Conference on Machine Learning, 23254-23273, 2022 | 9 | 2022 |
| Parl: A unified framework for policy alignment in reinforcement learning S Chakraborty, AS Bedi, A Koppel, D Manocha, H Wang, M Wang, ... The Twelfth International Conference on Learning Representations, 2023 | 8* | 2023 |
| Interactive information retrieval with bandit feedback H Wang, Y Jia, H Wang Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 7 | 2021 |
| Learning kernelized contextual bandits in a distributed and asynchronous environment C Li, H Wang, M Wang, H Wang International Conference on Learning Representation, 2023 | 6 | 2023 |
| Provable benefits of policy learning from human preferences in contextual bandit problems X Ji, H Wang, M Chen, T Zhao, M Wang arXiv preprint arXiv:2307.12975, 2023 | 5 | 2023 |
Hongning WangAssociate Professor, Department of Computer Science, University of VirginiaZweryfikowany adres z virginia.edu
