Vincent Y. F. Tan
23 papers · 2019–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π Conference Polyglot (9)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Interdisciplinary Bridge
π
Keyword Champion
(2)
π
Grand Slam
ποΈ
Keyword Collector
(90)
β‘
Prolific Year
(5)
π
Century Club
(22)
π₯
Unstoppable
(7)
β
The Questioner
Conferences
AAAI (4)
JMLR (4)
AISTATS (3)
CVPR (3)
ICLR (2)
ICML (2)
IJCAI (2)
UAI (2)
NIPS (1)
Top co-authors
Research topics
Keywords
regret bound
(5)
multi-armed bandit
(5)
best arm identification
(3)
online learning
(3)
generalization error
(2)
semi-supervised learning
(2)
sample complexity
(2)
information theory
(2)
stochastic optimization
(2)
regret minimization
(2)
thompson sampling
(2)
information-theoretic lower bound
(2)
knowledge distillation
(1)
online clustering
(1)
continual learning
(1)
change detection
(1)
bayesian inference
(1)
reinforcement learning
(1)
differential privacy
(1)
adversarial training
(1)
Papers
On the Exponential Convergence for Offline RLHF with Pairwise Comparisons
AAAI 2026
Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning
ICLR 2025
p-Mean Regret for Stochastic Bandits
AAAI 2025
Optimal Multi-Objective Best Arm Identification with Fixed Confidence
AISTATS 2025
Asymptotically Optimal Linear Best Feasible Arm Identification with Fixed Budget
UAI 2025
Best Arm Identification with Possibly Biased Offline Data
UAI 2025
Almost Minimax Optimal Best Arm Identification in Piecewise Stationary Linear Bandits
NIPS 2024
Optimal Clustering with Bandit Feedback
JMLR 2024
Learning Regularized Graphon Mean-Field Games with Unknown Graphons
JMLR 2024
DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing
CVPR 2024
Communication-Constrained Bandits under Additive Gaussian Noise
ICML 2023
Minimizing the Accumulated Trajectory Error To Improve Dataset Distillation
CVPR 2023
How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm?
AISTATS 2023
Almost Cost-Free Communication in Federated Best Arm Identification
AAAI 2023
Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits
ICML 2023
Towards Adversarially Robust Deep Image Denoising
IJCAI 2022
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning
CVPR 2022
A Unifying Theory of Thompson Sampling for Continuous Risk-Averse Bandits
AAAI 2022
A Survey of Risk-Aware Multi-Armed Bandits
IJCAI 2022
Information-Theoretic Characterization of the Generalization Error for Iterative Semi-Supervised Learning
JMLR 2022
Thompson Sampling Algorithms for Cascading Bandits
JMLR 2021
Economy Statistical Recurrent Units For Inferring Nonlinear Granger Causality
ICLR 2020
An Optimal Algorithm for Stochastic Three-Composite Optimization
AISTATS 2019