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 Hanshu Yan, Jiachun Pan, Song Bai
6 papers
· 2022–2025
· CVPR, ICLR, AISTATS
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Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning
ICLR 2025
DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing
CVPR 2024
How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm?
AISTATS 2023
Information-Theoretic Characterization of the Generalization Error for Iterative Semi-Supervised Learning
JMLR 2022
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning
CVPR 2022
Towards Adversarially Robust Deep Image Denoising
IJCAI 2022
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