Collaborative topic regression for online recommender systems: an online and Bayesian approach C Liu, T Jin, SCH Hoi, P Zhao, J Sun Machine Learning 106, 651-670, 2017 | 44 | 2017 |
Rank aggregation via heterogeneous thurstone preference models T Jin, P Xu, Q Gu, F Farnoud Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4353-4360, 2020 | 17 | 2020 |
Borda regret minimization for generalized linear dueling bandits Y Wu, T Jin, H Lou, F Farnoud, Q Gu arXiv preprint arXiv:2303.08816, 2023 | 6 | 2023 |
Variance-aware regret bounds for stochastic contextual dueling bandits Q Di, T Jin, Y Wu, H Zhao, F Farnoud, Q Gu arXiv preprint arXiv:2310.00968, 2023 | 5 | 2023 |
Active ranking without strong stochastic transitivity H Lou, T Jin, Y Wu, P Xu, Q Gu, F Farnoud Advances in neural information processing systems 35, 297-309, 2022 | 5 | 2022 |
Adaptive sampling for heterogeneous rank aggregation from noisy pairwise comparisons Y Wu, T Jin, H Lou, P Xu, F Farnoud, Q Gu International Conference on Artificial Intelligence and Statistics, 11014-11036, 2022 | 5 | 2022 |