Tan, Vincent Y. F.

34 publications

UAI 2025 Asymptotically Optimal Linear Best Feasible Arm Identification with Fixed Budget Jie Bian, Vincent Y. F. Tan

UAI 2025 Best Arm Identification with Possibly Biased Offline Data Le Yang, Vincent Y. F. Tan, Wang Chi Cheung

AISTATS 2025 Optimal Multi-Objective Best Arm Identification with Fixed Confidence Zhirui Chen, P. N. Karthik, Yeow Meng Chee, Vincent Y. F. Tan

AAAI 2025 P-Mean Regret for Stochastic Bandits Anand Krishna, Philips George John, Adarsh Barik, Vincent Y. F. Tan

NeurIPS 2025 Parameter-Free Algorithms for the Stochastically Extended Adversarial Model Shuche Wang, Adarsh Barik, Peng Zhao, Vincent Y. F. Tan

ICLR 2025 Towards Understanding Why FixMatch Generalizes Better than Supervised Learning Jingyang Li, Jiachun Pan, Vincent Y. F. Tan, Kim-chuan Toh, Pan Zhou

NeurIPS 2024 Almost Minimax Optimal Best Arm Identification in Piecewise Stationary Linear Bandits Yunlong Hou, Vincent Y. F. Tan, Zixin Zhong

ICMLW 2024 Batch Learning via Log-Sum-Exponential Estimator from Logged Bandit Feedback Armin Behnamnia, Gholamali Aminian, Alireza Aghaei, Chengchun Shi, Vincent Y. F. Tan, Hamid R. Rabiee

CVPR 2024 DragDiffusion: Harnessing Diffusion Models for Interactive Point-Based Image Editing Yujun Shi, Chuhui Xue, Jun Hao Liew, Jiachun Pan, Hanshu Yan, Wenqing Zhang, Vincent Y. F. Tan, Song Bai

TMLR 2024 Fixed-Budget Best-Arm Identification in Sparse Linear Bandits Recep Can Yavas, Vincent Y. F. Tan

TMLR 2024 Indexed Minimum Empirical Divergence-Based Algorithms for Linear Bandits Jie Bian, Vincent Y. F. Tan

JMLR 2024 Learning Regularized Graphon Mean-Field Games with Unknown Graphons Fengzhuo Zhang, Vincent Y. F. Tan, Zhaoran Wang, Zhuoran Yang

JMLR 2024 Optimal Clustering with Bandit Feedback Junwen Yang, Zixin Zhong, Vincent Y. F. Tan

ICMLW 2024 Order-Optimal Instance-Dependent Bounds for Offline Reinforcement Learning with Preference Feedback Zhirui Chen, Vincent Y. F. Tan

TMLR 2024 Stochastic Bandits for Egalitarian Assignment Eugene Lim, Vincent Y. F. Tan, Harold Soh

AAAI 2023 Almost Cost-Free Communication in Federated Best Arm Identification Srinivas Reddy Kota, P. N. Karthik, Vincent Y. F. Tan

ICML 2023 Communication-Constrained Bandits Under Additive Gaussian Noise Prathamesh Mayekar, Jonathan Scarlett, Vincent Y. F. Tan

AISTATS 2023 How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm? Haiyun He, Gholamali Aminian, Yuheng Bu, Miguel Rodrigues, Vincent Y. F. Tan

CVPR 2023 Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation Jiawei Du, Yidi Jiang, Vincent Y. F. Tan, Joey Tianyi Zhou, Haizhou Li

ICML 2023 Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits Yunlong Hou, Vincent Y. F. Tan, Zixin Zhong

IJCAI 2022 A Survey of Risk-Aware Multi-Armed Bandits Vincent Y. F. Tan, Prashanth L. A., Krishna P. Jagannathan

AAAI 2022 A Unifying Theory of Thompson Sampling for Continuous Risk-Averse Bandits Joel Q. L. Chang, Vincent Y. F. Tan

JMLR 2022 Information-Theoretic Characterization of the Generalization Error for Iterative Semi-Supervised Learning Haiyun He, Hanshu Yan, Vincent Y. F. Tan

CVPR 2022 Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning Yujun Shi, Kuangqi Zhou, Jian Liang, Zihang Jiang, Jiashi Feng, Philip H.S. Torr, Song Bai, Vincent Y. F. Tan

IJCAI 2022 Towards Adversarially Robust Deep Image Denoising Hanshu Yan, Jingfeng Zhang, Jiashi Feng, Masashi Sugiyama, Vincent Y. F. Tan

JMLR 2021 Thompson Sampling Algorithms for Cascading Bandits Zixin Zhong, Wang Chi Chueng, Vincent Y. F. Tan

ICLR 2020 Economy Statistical Recurrent Units for Inferring Nonlinear Granger Causality Saurabh Khanna, Vincent Y. F. Tan

ICLR 2020 On Robustness of Neural Ordinary Differential Equations Hanshu Yan, Jiawei Du, Vincent Y. F. Tan, Jiashi Feng

ECML-PKDD 2019 A Ranking Model Motivated by Nonnegative Matrix Factorization with Applications to Tennis Tournaments Rui Xia, Vincent Y. F. Tan, Louis Filstroff, Cédric Févotte

AISTATS 2019 An Optimal Algorithm for Stochastic Three-Composite Optimization Renbo Zhao, William B. Haskell, Vincent Y. F. Tan

UAI 2017 Stochastic L-BFGS Revisited: Improved Convergence Rates and Practical Acceleration Strategies Renbo Zhao, William B. Haskell, Vincent Y. F. Tan

JMLR 2012 High-Dimensional Gaussian Graphical Model Selection: Walk Summability and Local Separation Criterion Animashree Anandkumar, Vincent Y.F. Tan, Furong Huang, Alan S. Willsky

JMLR 2011 Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates Vincent Y.F. Tan, Animashree Anandkumar, Alan S. Willsky

JMLR 2011 Learning Latent Tree Graphical Models Myung Jin Choi, Vincent Y.F. Tan, Animashree Anandkumar, Alan S. Willsky