Tianyuan Jin - RankMe

33 papers A* 12A 2Journal 18Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Asymptotically and Minimax Optimal Regret Bounds for Multi-Armed Bandits with Abstention. Trans. Mach. Learn. Res. Junwen Yang, Tianyuan Jin, Vincent Y. F. Tan
2025	J	`jnl`	Breaking the log(1/Δ CoRR Tianyuan Jin, Qin Zhang, Dongruo Zhou
2025	A*	`conf`	Breaking the log⁡(1/Δ2) Barrier: Better Batched Best Arm Identification with Adaptive Grids. ICLR Tianyuan Jin, Qin Zhang, Dongruo Zhou
2025	J	`jnl`	Calibrating LLM Confidence with Semantic Steering: A Multi-Prompt Aggregation Framework. CoRR Ziang Zhou, Tianyuan Jin, Jieming Shi, Qing Li
2024	J	`jnl`	Best Arm Identification with Minimal Regret. CoRR Junwen Yang, Vincent Y. F. Tan, Tianyuan Jin
2024	A*	`conf`	Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs. AAAI Tianyuan Jin, Hao-Lun Hsu, William Chang, Pan Xu
2024	J	`jnl`	Multi-Armed Bandits with Abstention. CoRR Junwen Yang, Tianyuan Jin, Vincent Y. F. Tan
2024	A*	`conf`	Optimal Batched Best Arm Identification. NeurIPS Tianyuan Jin, Yu Yang, Jing Tang, Xiaokui Xiao, Pan Xu
2024	A*	`conf`	Optimal Batched Linear Bandits. ICML Xuanfei Ren, Tianyuan Jin, Pan Xu
2024	J	`jnl`	Optimal Batched Linear Bandits. CoRR Xuanfei Ren, Tianyuan Jin, Pan Xu
2024	J	`jnl`	Optimal Streaming Algorithms for Multi-Armed Bandits. CoRR Tianyuan Jin, Keke Huang, Jing Tang, Xiaokui Xiao
2024	A*	`conf`	Sparsity-Agnostic Linear Bandits with Adaptive Adversaries. NeurIPS Tianyuan Jin, Kyoungseok Jang, Nicolò Cesa-Bianchi
2024	J	`jnl`	Sparsity-Agnostic Linear Bandits with Adaptive Adversaries. CoRR Tianyuan Jin, Kyoungseok Jang, Nicolò Cesa-Bianchi
2023	J	`jnl`	Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs. CoRR Tianyuan Jin, Hao-Lun Hsu, William Chang, Pan Xu
2023	J	`jnl`	Optimal Batched Best Arm Identification. CoRR Tianyuan Jin, Yu Yang, Jing Tang, Xiaokui Xiao, Pan Xu
2023	A*	`conf`	Thompson Sampling with Less Exploration is Fast and Optimal. ICML Tianyuan Jin, Xianglin Yang, Xiaokui Xiao, Pan Xu
2022	A*	`conf`	Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits. NeurIPS Tianyuan Jin, Pan Xu, Xiaokui Xiao, Anima Anandkumar
2022	J	`jnl`	Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits. CoRR Tianyuan Jin, Pan Xu, Xiaokui Xiao, Anima Anandkumar
2021	A*	`conf`	Almost Optimal Anytime Algorithm for Batched Multi-Armed Bandits. ICML Tianyuan Jin, Jing Tang, Pan Xu, Keke Huang, Xiaokui Xiao, Quanquan Gu
2021	A*	`conf`	Double Explore-then-Commit: Asymptotic Optimality and Beyond. COLT Tianyuan Jin, Pan Xu, Xiaokui Xiao, Quanquan Gu
2021	A*	`conf`	MOTS: Minimax Optimal Thompson Sampling. ICML Tianyuan Jin, Pan Xu, Jieming Shi, Xiaokui Xiao, Quanquan Gu
2021	A*	`conf`	Optimal Streaming Algorithms for Multi-Armed Bandits. ICML Tianyuan Jin, Keke Huang, Jing Tang, Xiaokui Xiao
2021	J	`jnl`	Unconstrained Submodular Maximization with Modular Costs: Tight Approximation and Application to Profit Maximization. Proc. VLDB Endow. Tianyuan Jin, Yu Yang, Renchi Yang, Jieming Shi, Keke Huang, Xiaokui Xiao
2020	J	`jnl`	Double Explore-then-Commit: Asymptotic Optimality and Beyond. CoRR Tianyuan Jin, Pan Xu, Xiaokui Xiao, Quanquan Gu
2020	J	`jnl`	MOTS: Minimax Optimal Thompson Sampling. CoRR Tianyuan Jin, Pan Xu, Jieming Shi, Xiaokui Xiao, Quanquan Gu
2020	J	`jnl`	Realtime Index-Free Single Source SimRank Processing on Web-Scale Graphs. CoRR Jieming Shi, Tianyuan Jin, Renchi Yang, Xiaokui Xiao, Yin Yang
2020	J	`jnl`	Realtime Index-Free Single Source SimRank Processing on Web-Scale Graphs. Proc. VLDB Endow. Jieming Shi, Tianyuan Jin, Renchi Yang, Xiaokui Xiao, Yin Yang
2019	A*	`conf`	Efficient Pure Exploration in Adaptive Round model. NeurIPS Tianyuan Jin, Jieming Shi, Xiaokui Xiao, Enhong Chen
2019	J	`jnl`	Realtime Top-k Personalized PageRank over Large Graphs on GPUs. Proc. VLDB Endow. Jieming Shi, Renchi Yang, Tianyuan Jin, Xiaokui Xiao, Yin Yang
2019	A	`conf`	Tracking Top-k Influential Users with Relative Errors. CIKM Yu Yang, Zhefeng Wang, Tianyuan Jin, Jian Pei, Enhong Chen
2018	A	`conf`	Maximizing the Effect of Information Adoption: A General Framework. SDM Tianyuan Jin, Tong Xu, Hui Zhong, Enhong Chen, Zhefeng Wang, Qi Liu
2018	J	`jnl`	Tracking Top-K Influential Vertices in Dynamic Networks. CoRR Yu Yang, Zhefeng Wang, Tianyuan Jin, Jian Pei, Enhong Chen
2017	—	`conf`	A Markov Chain Monte Carlo Approach for Source Detection in Networks. SMP Le Zhang, Tianyuan Jin, Tong Xu, Biao Chang, Zhefeng Wang, Enhong Chen