Tao Jin

According to our database, Tao Jin authored at least 8 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Borda Regret Minimization for Generalized Linear Dueling Bandits.

Yue Wu, Tao Jin, Qiwei Di, Hao Lou, Farzad Farnoud, Quanquan Gu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Variance-aware Regret Bounds for Stochastic Contextual Dueling Bandits.

Qiwei Di, Tao Jin, Yue Wu, Heyang Zhao, Farzad Farnoud, Quanquan Gu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Borda Regret Minimization for Generalized Linear Dueling Bandits.

Yue Wu, Tao Jin, Hao Lou, Farzad Farnoud, Quanquan Gu

CoRR, 2023

2022

Active Ranking without Strong Stochastic Transitivity.

Hao Lou, Tao Jin, Yue Wu, Pan Xu, Quanquan Gu, Farzad Farnoud

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Adaptive Sampling for Heterogeneous Rank Aggregation from Noisy Pairwise Comparisons.

Yue Wu, Tao Jin, Hao Lou, Pan Xu, Farzad Farnoud, Quanquan Gu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2020

Rank Aggregation via Heterogeneous Thurstone Preference Models.

Tao Jin, Pan Xu, Quanquan Gu, Farzad Farnoud

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2017

Collaborative topic regression for online recommender systems: an online and Bayesian approach.

Chenghao Liu, Tao Jin, Steven C. H. Hoi, Peilin Zhao, Jianling Sun

Mach. Learn., 2017

2016

Online Bayesian Collaborative Topic Regression.

Chenghao Liu, Tao Jin, Steven C. H. Hoi, Peilin Zhao, Jianling Sun

CoRR, 2016