Vincent Y. F. Tan
27 papers · 2019–2026 · 10 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 14 separate collaboration groups - the largest holds only 22% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Vincent Y. F. Tan?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Zixin Zhong, Yunlong Hou, Junwen Yang
6 papers
· 2021–2026
· JMLR, COLT, NeurIPS
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Avoiding exp($k^*$) Scaling for Thompson Sampling in Combinatorial Semi-Bandits: From Multiple Seeds to a Single Seed
COLT 2026
Best Arm Identification with Minimal Regret
JMLR 2026
Almost Minimax Optimal Best Arm Identification in Piecewise Stationary Linear Bandits
NeurIPS 2024
Optimal Clustering with Bandit Feedback
JMLR 2024
Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits
ICML 2023
Thompson Sampling Algorithms for Cascading Bandits
JMLR 2021
10 papers whose co-authors appear nowhere else under this name
Balancing Expressivity and Learnability in Quantum Kernel Bandit Optimization
UAI 2026
Asymptotically Optimal Linear Best Feasible Arm Identification with Fixed Budget
UAI 2025
Best Arm Identification with Possibly Biased Offline Data
UAI 2025
Learning Regularized Graphon Mean-Field Games with Unknown Graphons
JMLR 2024
Communication-Constrained Bandits under Additive Gaussian Noise
ICML 2023
Minimizing the Accumulated Trajectory Error To Improve Dataset Distillation
CVPR 2023
A Survey of Risk-Aware Multi-Armed Bandits
IJCAI 2022
A Unifying Theory of Thompson Sampling for Continuous Risk-Averse Bandits
AAAI 2022
Economy Statistical Recurrent Units For Inferring Nonlinear Granger Causality
ICLR 2020
An Optimal Algorithm for Stochastic Three-Composite Optimization
AISTATS 2019