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
2025 Best paper conf
Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.
CheckMATE
Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda
2026 Best paper preprint
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.
arXiv
Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski