Tianyuan Jin

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 24

Top Topics

Multi Armed Bandit

Top Venues

Proc. VLDB Endow.

Publications

Xuanfei Ren, Tianyuan Jin, Pan Xu
Optimal Batched Linear Bandits. CoRR (2024)
Tianyuan Jin, Kyoungseok Jang, Nicolò Cesa-Bianchi
Sparsity-Agnostic Linear Bandits with Adaptive Adversaries. CoRR (2024)
Junwen Yang, Tianyuan Jin, Vincent Y. F. Tan
Multi-Armed Bandits with Abstention. CoRR (2024)
Tianyuan Jin, Hao-Lun Hsu, William Chang, Pan Xu
Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs. AAAI (2024)
Tianyuan Jin, Xianglin Yang, Xiaokui Xiao, Pan Xu
Thompson Sampling with Less Exploration is Fast and Optimal. ICML (2023)
Tianyuan Jin, Yu Yang, Jing Tang, Xiaokui Xiao, Pan Xu
Optimal Batched Best Arm Identification. CoRR (2023)
Tianyuan Jin, Hao-Lun Hsu, William Chang, Pan Xu
Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs. CoRR (2023)
Tianyuan Jin, Pan Xu, Xiaokui Xiao, Anima Anandkumar
Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits. CoRR (2022)
Tianyuan Jin, Pan Xu, Xiaokui Xiao, Anima Anandkumar
Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits. NeurIPS (2022)
Tianyuan Jin, Pan Xu, Xiaokui Xiao, Quanquan Gu
Double Explore-then-Commit: Asymptotic Optimality and Beyond. COLT (2021)
Tianyuan Jin, Keke Huang, Jing Tang, Xiaokui Xiao
Optimal Streaming Algorithms for Multi-Armed Bandits. ICML (2021)
Tianyuan Jin, Pan Xu, Jieming Shi, Xiaokui Xiao, Quanquan Gu
MOTS: Minimax Optimal Thompson Sampling. ICML (2021)
Tianyuan Jin, Jing Tang, Pan Xu, Keke Huang, Xiaokui Xiao, Quanquan Gu
Almost Optimal Anytime Algorithm for Batched Multi-Armed Bandits. ICML (2021)
Tianyuan Jin, Yu Yang, Renchi Yang, Jieming Shi, Keke Huang, Xiaokui Xiao
Unconstrained Submodular Maximization with Modular Costs: Tight Approximation and Application to Profit Maximization. Proc. VLDB Endow. 14 (10) (2021)
Jieming Shi, Tianyuan Jin, Renchi Yang, Xiaokui Xiao, Yin Yang
Realtime Index-Free Single Source SimRank Processing on Web-Scale Graphs. CoRR (2020)
Jieming Shi, Tianyuan Jin, Renchi Yang, Xiaokui Xiao, Yin Yang
Realtime Index-Free Single Source SimRank Processing on Web-Scale Graphs. Proc. VLDB Endow. 13 (7) (2020)
Tianyuan Jin, Pan Xu, Jieming Shi, Xiaokui Xiao, Quanquan Gu
MOTS: Minimax Optimal Thompson Sampling. CoRR (2020)
Tianyuan Jin, Pan Xu, Xiaokui Xiao, Quanquan Gu
Double Explore-then-Commit: Asymptotic Optimality and Beyond. CoRR (2020)
Tianyuan Jin, Jieming Shi, Xiaokui Xiao, Enhong Chen
Efficient Pure Exploration in Adaptive Round model. NeurIPS (2019)
Jieming Shi, Renchi Yang, Tianyuan Jin, Xiaokui Xiao, Yin Yang
Realtime Top-k Personalized PageRank over Large Graphs on GPUs. Proc. VLDB Endow. 13 (1) (2019)
Yu Yang, Zhefeng Wang, Tianyuan Jin, Jian Pei, Enhong Chen
Tracking Top-k Influential Users with Relative Errors. CIKM (2019)
Yu Yang, Zhefeng Wang, Tianyuan Jin, Jian Pei, Enhong Chen
Tracking Top-K Influential Vertices in Dynamic Networks. CoRR (2018)
Tianyuan Jin, Tong Xu, Hui Zhong, Enhong Chen, Zhefeng Wang, Qi Liu
Maximizing the Effect of Information Adoption: A General Framework. SDM (2018)
Le Zhang, Tianyuan Jin, Tong Xu, Biao Chang, Zhefeng Wang, Enhong Chen
A Markov Chain Monte Carlo Approach for Source Detection in Networks. SMP (2017)