Tao Jin

12 papers A* 5A 1Journal 6
YearRankTypeTitle / Venue / Authors
2025 A* conf
Ranking with Multiple Oracles: From Weak to Strong Stochastic Transitivity.
ICML
Tao Jin, Yue Wu, Quanquan Gu, Farzad Farnoud
2024 A* conf
Borda Regret Minimization for Generalized Linear Dueling Bandits.
ICML
Yue Wu, Tao Jin, Qiwei Di, Hao Lou, Farzad Farnoud, Quanquan Gu
2024 A* conf
Variance-aware Regret Bounds for Stochastic Contextual Dueling Bandits.
ICLR
Qiwei Di, Tao Jin, Yue Wu, Heyang Zhao, Farzad Farnoud, Quanquan Gu
2023 J jnl
Borda Regret Minimization for Generalized Linear Dueling Bandits.
CoRR
Yue Wu, Tao Jin, Hao Lou, Farzad Farnoud, Quanquan Gu
2023 J jnl
Variance-Aware Regret Bounds for Stochastic Contextual Dueling Bandits.
CoRR
Qiwei Di, Tao Jin, Yue Wu, Heyang Zhao, Farzad Farnoud, Quanquan Gu
2022 A* conf
Active Ranking without Strong Stochastic Transitivity.
NeurIPS
Hao Lou, Tao Jin, Yue Wu, Pan Xu, Quanquan Gu, Farzad Farnoud
2022 A conf
Adaptive Sampling for Heterogeneous Rank Aggregation from Noisy Pairwise Comparisons.
AISTATS
Yue Wu, Tao Jin, Hao Lou, Pan Xu, Farzad Farnoud, Quanquan Gu
2021 J jnl
Adaptive Sampling for Heterogeneous Rank Aggregation from Noisy Pairwise Comparisons.
CoRR
Yue Wu, Tao Jin, Hao Lou, Pan Xu, Farzad Farnoud, Quanquan Gu
2020 A* conf
Rank Aggregation via Heterogeneous Thurstone Preference Models.
AAAI
Tao Jin, Pan Xu, Quanquan Gu, Farzad Farnoud
2019 J jnl
Rank Aggregation via Heterogeneous Thurstone Preference Models.
CoRR
Tao Jin, Pan Xu, Quanquan Gu, Farzad Farnoud
2017 J jnl
Collaborative topic regression for online recommender systems: an online and Bayesian approach.
Mach. Learn.
Chenghao Liu, Tao Jin, Steven C. H. Hoi, Peilin Zhao, Jianling Sun
2016 J jnl
Online Bayesian Collaborative Topic Regression.
CoRR
Chenghao Liu, Tao Jin, Steven C. H. Hoi, Peilin Zhao, Jianling Sun