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Huazheng Wang
Huazheng Wang
Geverifieerd e-mailadres voor oregonstate.edu - Homepage
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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
892016
Factorization bandits for interactive recommendation
H Wang, Q Wu, H Wang
Thirty-First AAAI Conference on Artificial Intelligence, 2017
872017
Learning hidden features for contextual bandits
H Wang, Q Wu, H Wang
Proceedings of the 25th ACM international on conference on information and …, 2016
662016
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
382019
Solving verbal questions in IQ test by knowledge-powered word embedding
H Wang, F Tian, B Gao, C Zhu, J Bian, TY Liu
Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016
35*2016
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
322021
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
272018
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
262019
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
262019
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
162019
Global and local differential privacy for collaborative bandits
H Wang, Q Zhao, Q Wu, S Chopra, A Khaitan, H Wang
Fourteenth ACM Conference on Recommender Systems, 150-159, 2020
142020
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
72021
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
62020
Interactive Information Retrieval with Bandit Feedback
H Wang, Y Jia, H Wang
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
52021
Incentivizing exploration in linear bandits under information gap
H Wang, H Xu, C Li, Z Liu, H Wang
arXiv preprint arXiv:2104.03860, 2021
12021
Learning by exploration: New challenges in real-world environments
Q Wu, H Wang, H Wang
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
12020
A smoothed analysis of online lasso for the sparse linear contextual bandit problem
Z Liu, H Wang, B Waggoner, L Chen
arXiv preprint arXiv:2007.08561, 2020
12020
Dynamic Global Sensitivity for Differentially Private Contextual Bandits
H Wang, D Zhao, H Wang
Proceedings of the 16th ACM Conference on Recommender Systems, 179-187, 2022
2022
Provably Efficient Reinforcement Learning for Online Adaptive Influence Maximization
K Huang, Y Wu, X Zhang, S Tu, Q Wu, M Wang, H Wang
arXiv preprint arXiv:2206.14846, 2022
2022
When Are Linear Stochastic Bandits Attackable?
H Wang, H Xu, H Wang
International Conference on Machine Learning, 23254-23273, 2022
2022
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Artikelen 1–20