Vincent Y. F. Tan

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 344

Top Venues

CoRR

IEEE Trans. Inf. Theory

ISIT

ITW

Publications

Zhirui Chen, P. N. Karthik, Yeow Meng Chee, Vincent Y. F. Tan
Fixed-Budget Differentially Private Best Arm Identification. CoRR (2024)
Recep Can Yavas, Vincent Y. F. Tan
Variable-Length Feedback Codes over Known and Unknown Channels with Non-vanishing Error Probabilities. CoRR (2024)
Xiaochen Zhu, Vincent Y. F. Tan, Xiaokui Xiao
Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation. CCS (2023)
Seung-Hyun Nam, Vincent Y. F. Tan, Si-Hyeon Lee
Optimal Private Discrete Distribution Estimation with One-bit Communication. CoRR (2023)
Fengzhuo Zhang, Vincent Y. F. Tan, Zhaoran Wang, Zhuoran Yang
Learning Regularized Graphon Mean-Field Games with Unknown Graphons. CoRR (2023)
Arnab Bhattacharyya, Sutanu Gayen, Eric Price, Vincent Y. F. Tan, N. V. Vinodchandran
Near-Optimal Learning of Tree-Structured Distributions by Chow and Liu. SIAM J. Comput. 52 (3) (2023)
Jiachun Pan, Yonglong Li, Vincent Y. F. Tan
Asymptotic Nash Equilibrium for the M-Ary Sequential Adversarial Hypothesis Testing Game. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Qiaosheng Eric Zhang, Vincent Y. F. Tan
Exact Recovery in the General Hypergraph Stochastic Block Model. IEEE Trans. Inf. Theory 69 (1) (2023)
Elizabeth Z. C. Tan, Caroline Chaux, Emmanuel Soubies, Vincent Y. F. Tan
Deep Unrolling for Nonconvex Robust Principal Component Analysis. MLSP (2023)
Yunlong Hou, Vincent Y. F. Tan, Zixin Zhong
Almost Optimal Variance-Constrained Best Arm Identification. IEEE Trans. Inf. Theory 69 (4) (2023)
Recep Can Yavas, Vincent Y. F. Tan
Fixed-Budget Best-Arm Identification in Sparse Linear Bandits. CoRR (2023)
Xiaochen Zhu, Vincent Y. F. Tan, Xiaokui Xiao
Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation. CoRR (2023)
Haiyun He, Gholamali Aminian, Yuheng Bu, Miguel R. D. Rodrigues, Vincent Y. F. Tan
How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm? AISTATS (2023)
Srinivas Reddy Kota, P. N. Karthik, Vincent Y. F. Tan
Almost Cost-Free Communication in Federated Best Arm Identification. AAAI (2023)
Yunlong Hou, Vincent Y. F. Tan, Zixin Zhong
Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits. CoRR (2023)
Yi Wei, Zixin Zhong, Vincent Y. F. Tan
Fast Beam Alignment via Pure Exploration in Multi-Armed Bandits. IEEE Trans. Wirel. Commun. 22 (5) (2023)
Shuche Wang, Van Khu Vu, Vincent Y. F. Tan
Codes for Correcting t Limited-Magnitude Sticky Deletions. ISIT (2023)
Qiaosheng Eric Zhang, Vincent Y. F. Tan
Covert Communication With Mismatched Decoders. IEEE Trans. Inf. Theory 69 (7) (2023)
Shuche Wang, Van Khu Vu, Vincent Y. F. Tan
Codes for Correcting Asymmetric Adjacent Transpositions and Deletions. CoRR (2023)
Jiawei Du, Yidi Jiang, Vincent Y. F. Tan, Joey Tianyi Zhou, Haizhou Li
Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation. CVPR (2023)
P. N. Karthik, Kota Srinivas Reddy, Vincent Y. F. Tan
Best Arm Identification in Restless Markov Multi-Armed Bandits. IEEE Trans. Inf. Theory 69 (5) (2023)
Prathamesh Mayekar, Jonathan Scarlett, Vincent Y. F. Tan
Communication-Constrained Bandits under Additive Gaussian Noise. ICML (2023)
Fengzhuo Zhang, Vincent Y. F. Tan, Zhaoran Wang, Zhuoran Yang
Learning Regularized Monotone Graphon Mean-Field Games. NeurIPS (2023)
Yujun Shi, Jian Liang, Wenqing Zhang, Vincent Y. F. Tan, Song Bai
Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning. ICLR (2023)
Prathamesh Mayekar, Jonathan Scarlett, Vincent Y. F. Tan
Communication-Constrained Bandits under Additive Gaussian Noise. CoRR (2023)
Elizabeth Z. C. Tan, Caroline Chaux, Emmanuel Soubies, Vincent Y. F. Tan
Deep Unrolling for Nonconvex Robust Principal Component Analysis. CoRR (2023)
Shuche Wang, Van Khu Vu, Vincent Y. F. Tan
Codes for Correcting t Limited-Magnitude Sticky Deletions. CoRR (2023)
Yunlong Hou, Vincent Y. F. Tan, Zixin Zhong
Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits. ICML (2023)
Jiachun Pan, Hanshu Yan, Jun Hao Liew, Jiashi Feng, Vincent Y. F. Tan
Towards Accurate Guided Diffusion Sampling through Symplectic Adjoint Method. CoRR (2023)
P. N. Karthik, Vincent Y. F. Tan, Arpan Mukherjee, Ali Tajer
Optimal Best Arm Identification with Fixed Confidence in Restless Bandits. CoRR (2023)
Fengzhuo Zhang, Anshoo Tandon, Vincent Y. F. Tan
Active-LATHE: An Active Learning Algorithm for Boosting the Error Exponent for Learning Homogeneous Ising Trees. IEEE Trans. Inf. Theory 69 (4) (2023)
Jiachun Pan, Jun Hao Liew, Vincent Y. F. Tan, Jiashi Feng, Hanshu Yan
AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models. CoRR (2023)
Yujun Shi, Chuhui Xue, Jiachun Pan, Wenqing Zhang, Vincent Y. F. Tan, Song Bai
DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing. CoRR (2023)
Fengzhuo Zhang, Vincent Y. F. Tan, Zhaoran Wang, Zhuoran Yang
Learning Regularized Monotone Graphon Mean-Field Games. CoRR (2023)
Yuta Sakai, Vincent Y. F. Tan
On Smooth Rényi Entropies: A Novel Information Measure, One-Shot Coding Theorems, and Asymptotic Expansions. IEEE Trans. Inf. Theory 68 (3) (2022)
Yi Wei, Zixin Zhong, Vincent Y. F. Tan, Chan Wang
Fast Beam Alignment via Pure Exploration in Multi-armed Bandits. ISIT (2022)
Jiachun Pan, Yonglong Li, Vincent Y. F. Tan
Asymptotics of Sequential Composite Hypothesis Testing Under Probabilistic Constraints. IEEE Trans. Inf. Theory 68 (8) (2022)
P. N. Karthik, Kota Srinivas Reddy, Vincent Y. F. Tan
Best Arm Identification in Restless Markov Multi-Armed Bandits. CoRR (2022)
Yujun Shi, Kuangqi Zhou, Jian Liang, Zihang Jiang, Jiashi Feng, Philip H. S. Torr, Song Bai, Vincent Y. F. Tan
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning. CVPR (2022)
Jiawei Du, Daquan Zhou, Jiashi Feng, Vincent Y. F. Tan, Joey Tianyi Zhou
Sharpness-Aware Training for Free. CoRR (2022)
Haiyun He, Hanshu Yan, Vincent Y. F. Tan
Information-Theoretic Characterization of the Generalization Error for Iterative Semi-Supervised Learning. J. Mach. Learn. Res. 23 (2022)
Yi Wei, Zixin Zhong, Vincent Y. F. Tan
Fast Beam Alignment via Pure Exploration in Multi-armed Bandits. CoRR (2022)
Qiaosheng Eric Zhang, Geewon Suh, Changho Suh, Vincent Y. F. Tan
Mc2g: An Efficient Algorithm for Matrix Completion With Social and Item Similarity Graphs. IEEE Trans. Signal Process. 70 (2022)
Lei Yu, Vincent Y. F. Tan
Common Information, Noise Stability, and Their Extensions. CoRR (2022)
Nicolas Gillis, Le Thi Khanh Hien, Valentin Leplat, Vincent Y. F. Tan
Distributionally Robust and Multi-Objective Nonnegative Matrix Factorization. IEEE Trans. Pattern Anal. Mach. Intell. 44 (8) (2022)
Zhirui Chen, P. N. Karthik, Vincent Y. F. Tan, Yeow Meng Chee
Federated Best Arm Identification with Heterogeneous Clients. CoRR (2022)
Zexin Wang, Vincent Y. F. Tan, Jonathan Scarlett
Tight Regret Bounds for Noisy Optimization of a Brownian Motion. IEEE Trans. Signal Process. 70 (2022)
Hanshu Yan, Jingfeng Zhang, Jiashi Feng, Masashi Sugiyama, Vincent Y. F. Tan
Towards Adversarially Robust Deep Image Denoising. IJCAI (2022)
Jiachun Pan, Yonglong Li, Vincent Y. F. Tan
Asymptotic Nash Equilibrium for the M-ary Sequential Adversarial Hypothesis Testing Game. CoRR (2022)
Yujun Shi, Jian Liang, Wenqing Zhang, Vincent Y. F. Tan, Song Bai
Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning. CoRR (2022)
Joel Q. L. Chang, Vincent Y. F. Tan
A Unifying Theory of Thompson Sampling for Continuous Risk-Averse Bandits. AAAI (2022)
Shuche Wang, Van Khu Vu, Vincent Y. F. Tan
Codes for the Asymmetric Damerau-Levenshtein Distance. ITW (2022)
Jiachun Pan, Yonglong Li, Vincent Y. F. Tan
Asymptotic Nash Equilibrium for the Sequential Adversarial Hypothesis Testing Game. ISIT (2022)
Hanshu Yan, Jingfeng Zhang, Jiashi Feng, Masashi Sugiyama, Vincent Y. F. Tan
Towards Adversarially Robust Deep Image Denoising. CoRR (2022)
Karthik Periyapattana Narayana Prasad, Kota Srinivas Reddy, Vincent Y. F. Tan
Best Restless Markov Arm Identification. ITW (2022)
Vincent Y. F. Tan, Prashanth L. A., Krishna P. Jagannathan
A Survey of Risk-Aware Multi-Armed Bandits. CoRR (2022)
Fengzhuo Zhang, Anshoo Tandon, Vincent Y. F. Tan
Active-LATHE: An Active Learning Algorithm for Boosting the Error Exponent for Learning Homogeneous Ising Trees. ITW (2022)
Junwen Yang, Vincent Y. F. Tan
Minimax Optimal Fixed-Budget Best Arm Identification in Linear Bandits. NeurIPS (2022)
Jiawei Du, Yidi Jiang, Vincent Y. F. Tan, Joey Tianyi Zhou, Haizhou Li
Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation. CoRR (2022)
Qiaosheng Zhang, Vincent Y. F. Tan
Covert Communication with Mismatched Decoders. ISIT (2022)
Yunlong Hou, Vincent Y. F. Tan, Zixin Zhong
Almost Optimal Variance-Constrained Best Arm Identification. CoRR (2022)
Junwen Yang, Zixin Zhong, Vincent Y. F. Tan
Optimal Clustering with Bandit Feedback. CoRR (2022)
Lei Yu, Vincent Y. F. Tan
Common Information, Noise Stability, and Their Extensions. Found. Trends Commun. Inf. Theory 19 (2) (2022)
Kota Srinivas Reddy, P. N. Karthik, Vincent Y. F. Tan
Almost Cost-Free Communication in Federated Best Arm Identification. CoRR (2022)
Fengzhuo Zhang, Boyi Liu, Kaixin Wang, Vincent Y. F. Tan, Zhuoran Yang, Zhaoran Wang
Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL. CoRR (2022)
Jiawei Du, Hanshu Yan, Jiashi Feng, Joey Tianyi Zhou, Liangli Zhen, Rick Siow Mong Goh, Vincent Y. F. Tan
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks. ICLR (2022)
Fengzhuo Zhang, Boyi Liu, Kaixin Wang, Vincent Y. F. Tan, Zhuoran Yang, Zhaoran Wang
Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL. NeurIPS (2022)
Haiyun He, Gholamali Aminian, Yuheng Bu, Miguel R. D. Rodrigues, Vincent Y. F. Tan
How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm? CoRR (2022)
Vincent Y. F. Tan, Prashanth L. A., Krishna P. Jagannathan
A Survey of Risk-Aware Multi-Armed Bandits. IJCAI (2022)
Yonglong Li, Vincent Y. F. Tan
On the Capacity of Channels With Deletions and States. IEEE Trans. Inf. Theory 67 (5) (2021)
Sadaf Salehkalaibar, Mohammad Hossein Yassaee, Vincent Y. F. Tan, Mehrasa Ahmadipour
State Masking Over a Two-State Compound Channel. IEEE Trans. Inf. Theory 67 (9) (2021)
Qiaosheng Eric Zhang, Vincent Y. F. Tan, Changho Suh
Community Detection and Matrix Completion With Social and Item Similarity Graphs. IEEE Trans. Signal Process. 69 (2021)
Ting Cai, Vincent Y. F. Tan, Cédric Févotte
Adversarially-Trained Nonnegative Matrix Factorization. CoRR (2021)
Junwen Yang, Vincent Y. F. Tan
Towards Minimax Optimal Best Arm Identification in Linear Bandits. CoRR (2021)
Yuta Sakai, Recep Can Yavas, Vincent Y. F. Tan
Third-Order Asymptotics of Variable-Length Compression Allowing Errors. IEEE Trans. Inf. Theory 67 (12) (2021)
Fengzhuo Zhang, Vincent Y. F. Tan
Robustifying Algorithms of Learning Latent Trees with Vector Variables. NeurIPS (2021)
Sandra S. Y. Tan, Antonios Varvitsiotis, Vincent Y. F. Tan
Analysis of Optimization Algorithms via Sum-of-Squares. J. Optim. Theory Appl. 190 (1) (2021)
Ting Cai, Vincent Y. F. Tan, Cédric Févotte
Adversarially-Trained Nonnegative Matrix Factorization. IEEE Signal Process. Lett. 28 (2021)
Qiaosheng Eric Zhang, Vincent Y. F. Tan
Exact Recovery in the General Hypergraph Stochastic Block Model. CoRR (2021)
Jiachun Pan, Yonglong Li, Vincent Y. F. Tan
Asymptotics of Sequential Composite Hypothesis Testing under Probabilistic Constraints. ISIT (2021)
Lei Yu, Vincent Y. F. Tan
On Non-Interactive Simulation of Binary Random Variables. IEEE Trans. Inf. Theory 67 (4) (2021)
Vincent Y. F. Tan, Yao Xie
Editorial. IEEE J. Sel. Areas Inf. Theory 2 (2) (2021)
Yujun Shi, Kuangqi Zhou, Jian Liang, Zihang Jiang, Jiashi Feng, Philip H. S. Torr, Song Bai, Vincent Y. F. Tan
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning. CoRR (2021)
Zixin Zhong, Wang Chi Cheung, Vincent Y. F. Tan
On the Pareto Frontier of Regret Minimization and Best Arm Identification in Stochastic Bandits. CoRR (2021)
Hanshu Yan, Jingfeng Zhang, Gang Niu, Jiashi Feng, Vincent Y. F. Tan, Masashi Sugiyama
CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection. ICML (2021)
Zixin Zhong, Wang Chi Cheung, Vincent Y. F. Tan
Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions. ICML (2021)
Hanshu Yan, Jingfeng Zhang, Gang Niu, Jiashi Feng, Vincent Y. F. Tan, Masashi Sugiyama
CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection. CoRR (2021)
Anshoo Tandon, Aldric H. J. Han, Vincent Y. F. Tan
SGA: A Robust Algorithm for Partial Recovery of Tree-Structured Graphical Models with Noisy Samples. ICML (2021)
Yonglong Li, Vincent Y. F. Tan, Marco Tomamichel
Optimal Adaptive Strategies for Sequential Quantum Hypothesis Testing. CoRR (2021)
Dana Lahat, Yanbin Lang, Vincent Y. F. Tan, Cédric Févotte
Positive Semidefinite Matrix Factorization: A Connection With Phase Retrieval and Affine Rank Minimization. IEEE Trans. Signal Process. 69 (2021)
Fengzhuo Zhang, Vincent Y. F. Tan
Robustifying Algorithms of Learning Latent Trees with Vector Variables. CoRR (2021)
Qiaosheng Eric Zhang, Vincent Y. F. Tan
Covert Communication With Mismatched Decoders. CoRR (2021)
Joel Q. L. Chang, Vincent Y. F. Tan
A Unifying Theory of Thompson Sampling for Continuous Risk-Averse Bandits. CoRR (2021)
Sadaf Salehkalaibar, Vincent Y. F. Tan
Distributed Sequential Hypothesis Testing With Zero-Rate Compression. ITW (2021)
Haiyun He, Qiaosheng Eric Zhang, Vincent Y. F. Tan
Optimal Change-Point Detection With Training Sequences in the Large and Moderate Deviations Regimes. IEEE Trans. Inf. Theory 67 (10) (2021)
Yonglong Li, Vincent Y. F. Tan, Marco Tomamichel
Optimal Adaptive Strategies for Sequential Quantum Hypothesis Testing. ITW (2021)
Fengzhuo Zhang, Anshoo Tandon, Vincent Y. F. Tan
Active-LATHE: An Active Learning Algorithm for Boosting the Error Exponent for Learning Homogeneous Ising Trees. CoRR (2021)
Eugene T. Y. Ang, Mila Nambiar, Yong Sheng Soh, Vincent Y. F. Tan
An Interpretable Intensive Care Unit Mortality Risk Calculator. EMBC (2021)
Mahdi Haghifam, Vincent Y. F. Tan, Ashish Khisti
Sequential Classification With Empirically Observed Statistics. IEEE Trans. Inf. Theory 67 (5) (2021)
Zixin Zhong, Wang Chi Chueng, Vincent Y. F. Tan
Thompson Sampling Algorithms for Cascading Bandits. J. Mach. Learn. Res. 22 (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Vincent Y. F. Tan