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Tao Jin 0002
Person information
- affiliation: University of Virginia, VA, USA
Other persons with the same name
- Tao Jin — disambiguation page
- Tao Jin 0001 — Tsinghua University, Beijing, China
- Tao Jin 0003 — University of Pittsburgh, Pittsburgh, PA, USA
- Tao Jin 0004 — Zhejiang University, Hangzhou, China
- Tao Jin 0005 — China University of Petroleum, Qingdao, China
- Tao Jin 0006 — Fuzhou University, Fuzhou, China (and 1 more)
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2020 – today
- 2024
- [c5]Qiwei Di, Tao Jin, Yue Wu, Heyang Zhao, Farzad Farnoud, Quanquan Gu:
Variance-aware Regret Bounds for Stochastic Contextual Dueling Bandits. ICLR 2024 - [c4]Yue Wu, Tao Jin, Qiwei Di, Hao Lou, Farzad Farnoud, Quanquan Gu:
Borda Regret Minimization for Generalized Linear Dueling Bandits. ICML 2024 - 2023
- [i5]Yue Wu, Tao Jin, Hao Lou, Farzad Farnoud, Quanquan Gu:
Borda Regret Minimization for Generalized Linear Dueling Bandits. CoRR abs/2303.08816 (2023) - [i4]Qiwei Di, Tao Jin, Yue Wu, Heyang Zhao, Farzad Farnoud, Quanquan Gu:
Variance-Aware Regret Bounds for Stochastic Contextual Dueling Bandits. CoRR abs/2310.00968 (2023) - 2022
- [c3]Yue Wu, Tao Jin, Hao Lou, Pan Xu, Farzad Farnoud, Quanquan Gu:
Adaptive Sampling for Heterogeneous Rank Aggregation from Noisy Pairwise Comparisons. AISTATS 2022: 11014-11036 - [c2]Hao Lou, Tao Jin, Yue Wu, Pan Xu, Quanquan Gu, Farzad Farnoud:
Active Ranking without Strong Stochastic Transitivity. NeurIPS 2022 - 2021
- [i3]Yue Wu, Tao Jin, Hao Lou, Pan Xu, Farzad Farnoud, Quanquan Gu:
Adaptive Sampling for Heterogeneous Rank Aggregation from Noisy Pairwise Comparisons. CoRR abs/2110.04136 (2021) - 2020
- [c1]Tao Jin, Pan Xu, Quanquan Gu, Farzad Farnoud:
Rank Aggregation via Heterogeneous Thurstone Preference Models. AAAI 2020: 4353-4360
2010 – 2019
- 2019
- [i2]Tao Jin, Pan Xu, Quanquan Gu, Farzad Farnoud:
Rank Aggregation via Heterogeneous Thurstone Preference Models. CoRR abs/1912.01211 (2019) - 2017
- [j1]Chenghao Liu, Tao Jin, Steven C. H. Hoi, Peilin Zhao, Jianling Sun:
Collaborative topic regression for online recommender systems: an online and Bayesian approach. Mach. Learn. 106(5): 651-670 (2017) - 2016
- [i1]Chenghao Liu, Tao Jin, Steven C. H. Hoi, Peilin Zhao, Jianling Sun:
Online Bayesian Collaborative Topic Regression. CoRR abs/1605.08872 (2016)
Coauthor Index
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