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ORCIDVincent Y. F. Tan
Vincent Yan Fu Tan
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- affiliation: National University of Singapore, Department of Electrical and Computer Engineering, Singapore
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2020 – today
- 2024
[j127]Jingyi Zhao
, Mark Poon, Vincent Y. F. Tan, Zhenzhen Zhang:
A hybrid genetic search and dynamic programming-based split algorithm for the multi-trip time-dependent vehicle routing problem. Eur. J. Oper. Res. 317(3): 921-935 (2024)- [j126]Yujun Shi, Jian Liang, Wenqing Zhang, Chuhui Xue, Vincent Y. F. Tan, Song Bai:
Understanding and Mitigating Dimensional Collapse in Federated Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 2936-2949 (2024) - [j125]Seung-Hyun Nam, Vincent Y. F. Tan, Si-Hyeon Lee:
Optimal Private Discrete Distribution Estimation With 1-bit Communication. IEEE Trans. Inf. Forensics Secur. 19: 6514-6528 (2024) - [j124]Masahito Hayashi, Vincent Y. F. Tan:
Corrections to "Equivocations, Exponents, and Second-Order Coding Rates Under Various Rényi Information Measures". IEEE Trans. Inf. Theory 70(4): 3046-3048 (2024) - [j123]Zhirui Chen, P. N. Karthik, Vincent Y. F. Tan, Yeow Meng Chee:
Federated Best Arm Identification With Heterogeneous Clients. IEEE Trans. Inf. Theory 70(6): 4258-4279 (2024) - [j122]Yanyan Dong, Vincent Y. F. Tan:
Adversarial Combinatorial Bandits With Switching Costs. IEEE Trans. Inf. Theory 70(7): 5213-5227 (2024) - [j121]Jie Bian, Vincent Y. F. Tan:
Indexed Minimum Empirical Divergence-Based Algorithms for Linear Bandits. Trans. Mach. Learn. Res. 2024 (2024) - [j120]Recep Can Yavas, Vincent Y. F. Tan:
Fixed-Budget Best-Arm Identification in Sparse Linear Bandits. Trans. Mach. Learn. Res. 2024 (2024) - [c157]Zhirui Chen, P. N. Karthik, Yeow Meng Chee, Vincent Y. F. Tan:
Fixed-Budget Differentially Private Best Arm Identification. ICLR 2024 - [c156]Jiachun Pan, Jun Hao Liew, Vincent Y. F. Tan, Jiashi Feng, Hanshu Yan:
AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models. ICLR 2024 - [c155]Yuting Feng, Vincent Y. F. Tan, Bogdan Cautis:
Influence Maximization via Graph Neural Bandits. KDD 2024: 771-781 - [i181]Zhirui Chen, P. N. Karthik, Yeow Meng Chee, Vincent Y. F. Tan:
Fixed-Budget Differentially Private Best Arm Identification. CoRR abs/2401.09073 (2024) - [i180]Recep Can Yavas, Vincent Y. F. Tan:
Variable-Length Feedback Codes over Known and Unknown Channels with Non-vanishing Error Probabilities. CoRR abs/2401.16726 (2024) - [i179]Junwen Yang, Tianyuan Jin, Vincent Y. F. Tan:
Multi-Armed Bandits with Abstention. CoRR abs/2402.15127 (2024) - [i178]Yanyan Dong, Vincent Y. F. Tan:
Adversarial Combinatorial Bandits with Switching Costs. CoRR abs/2404.01883 (2024) - [i177]Yujun Shi, Jun Hao Liew, Hanshu Yan, Vincent Y. F. Tan, Jiashi Feng:
InstaDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos. CoRR abs/2405.13722 (2024) - [i176]Jie Bian, Vincent Y. F. Tan:
Indexed Minimum Empirical Divergence-Based Algorithms for Linear Bandits. CoRR abs/2405.15200 (2024) - [i175]Jieao Zhu, Vincent Y. F. Tan, Linglong Dai:
MIMO Capacity Analysis and Channel Estimation for Electromagnetic Information Theory. CoRR abs/2406.04881 (2024) - [i174]Zhirui Chen, Vincent Y. F. Tan:
Order-Optimal Instance-Dependent Bounds for Offline Reinforcement Learning with Preference Feedback. CoRR abs/2406.12205 (2024) - [i173]Yuting Feng, Vincent Y. F. Tan, Bogdan Cautis:
Influence Maximization via Graph Neural Bandits. CoRR abs/2406.12835 (2024) - [i172]Shuche Wang, Vincent Y. F. Tan:
A Mirror Descent-Based Algorithm for Corruption-Tolerant Distributed Gradient Descent. CoRR abs/2407.14111 (2024) - 2023
- [j119]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): 761-793 (2023) - [j118]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: 831-845 (2023) - [j117]Qiaosheng Eric Zhang, Vincent Y. F. Tan:
Exact Recovery in the General Hypergraph Stochastic Block Model. IEEE Trans. Inf. Theory 69(1): 453-471 (2023) - [j116]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): 2537-2555 (2023) - [j115]Yunlong Hou, Vincent Y. F. Tan, Zixin Zhong:
Almost Optimal Variance-Constrained Best Arm Identification. IEEE Trans. Inf. Theory 69(4): 2603-2634 (2023) - [j114]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): 3240-3262 (2023) - [j113]Qiaosheng Eric Zhang, Vincent Y. F. Tan:
Covert Communication With Mismatched Decoders. IEEE Trans. Inf. Theory 69(7): 4163-4177 (2023) - [j112]Zixin Zhong, Wang Chi Cheung, Vincent Y. F. Tan:
Achieving the Pareto Frontier of Regret Minimization and Best Arm Identification in Multi-Armed Bandits. Trans. Mach. Learn. Res. 2023 (2023) - [j111]Yi Wei, Zixin Zhong, Vincent Y. F. Tan:
Fast Beam Alignment via Pure Exploration in Multi-Armed Bandits. IEEE Trans. Wirel. Commun. 22(5): 3264-3279 (2023) - [c154]Srinivas Reddy Kota, P. N. Karthik, Vincent Y. F. Tan:
Almost Cost-Free Communication in Federated Best Arm Identification. AAAI 2023: 8378-8385 - [c153]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: 8494-8520 - [c152]Xiaochen Zhu, Vincent Y. F. Tan, Xiaokui Xiao:
Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation. CCS 2023: 2651-2664 - [c151]Jiawei Du, Yidi Jiang, Vincent Y. F. Tan, Joey Tianyi Zhou, Haizhou Li:
Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation. CVPR 2023: 3749-3758 - [c150]Yujun Shi, Jian Liang, Wenqing Zhang, Vincent Y. F. Tan, Song Bai:
Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning. ICLR 2023 - [c149]Yunlong Hou, Vincent Y. F. Tan, Zixin Zhong:
Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits. ICML 2023: 13353-13409 - [c148]Prathamesh Mayekar, Jonathan Scarlett, Vincent Y. F. Tan:
Communication-Constrained Bandits under Additive Gaussian Noise. ICML 2023: 24236-24250 - [c147]Shuche Wang, Van Khu Vu, Vincent Y. F. Tan:
Codes for Correcting t Limited-Magnitude Sticky Deletions. ISIT 2023: 1148-1153 - [c146]Elizabeth Z. C. Tan, Caroline Chaux, Emmanuel Soubies, Vincent Y. F. Tan:
Deep Unrolling for Nonconvex Robust Principal Component Analysis. MLSP 2023: 1-6 - [c145]Fengzhuo Zhang, Vincent Y. F. Tan, Zhaoran Wang, Zhuoran Yang:
Learning Regularized Monotone Graphon Mean-Field Games. NeurIPS 2023 - [i171]Shuche Wang, Van Khu Vu, Vincent Y. F. Tan:
Codes for Correcting Asymmetric Adjacent Transpositions and Deletions. CoRR abs/2301.11680 (2023) - [i170]Yunlong Hou, Vincent Y. F. Tan, Zixin Zhong:
Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits. CoRR abs/2301.13393 (2023) - [i169]Shuche Wang, Van Khu Vu, Vincent Y. F. Tan:
Codes for Correcting t Limited-Magnitude Sticky Deletions. CoRR abs/2302.02754 (2023) - [i168]Prathamesh Mayekar, Jonathan Scarlett, Vincent Y. F. Tan:
Communication-Constrained Bandits under Additive Gaussian Noise. CoRR abs/2304.12680 (2023) - [i167]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 abs/2306.14435 (2023) - [i166]Elizabeth Z. C. Tan, Caroline Chaux, Emmanuel Soubies, Vincent Y. F. Tan:
Deep Unrolling for Nonconvex Robust Principal Component Analysis. CoRR abs/2307.05893 (2023) - [i165]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 abs/2307.10711 (2023) - [i164]Xiaochen Zhu, Vincent Y. F. Tan, Xiaokui Xiao:
Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation. CoRR abs/2309.03190 (2023) - [i163]Fengzhuo Zhang, Vincent Y. F. Tan, Zhaoran Wang, Zhuoran Yang:
Learning Regularized Monotone Graphon Mean-Field Games. CoRR abs/2310.08089 (2023) - [i162]Seung-Hyun Nam, Vincent Y. F. Tan, Si-Hyeon Lee:
Optimal Private Discrete Distribution Estimation with One-bit Communication. CoRR abs/2310.11005 (2023) - [i161]P. N. Karthik, Vincent Y. F. Tan, Arpan Mukherjee, Ali Tajer:
Optimal Best Arm Identification with Fixed Confidence in Restless Bandits. CoRR abs/2310.13393 (2023) - [i160]Fengzhuo Zhang, Vincent Y. F. Tan, Zhaoran Wang, Zhuoran Yang:
Learning Regularized Graphon Mean-Field Games with Unknown Graphons. CoRR abs/2310.17531 (2023) - [i159]Recep Can Yavas, Vincent Y. F. Tan:
Fixed-Budget Best-Arm Identification in Sparse Linear Bandits. CoRR abs/2311.00481 (2023) - [i158]Jiachun Pan, Hanshu Yan, Jun Hao Liew, Jiashi Feng, Vincent Y. F. Tan:
Towards Accurate Guided Diffusion Sampling through Symplectic Adjoint Method. CoRR abs/2312.12030 (2023) - 2022
- [j110]Lei Yu, Vincent Y. F. Tan:
Common Information, Noise Stability, and Their Extensions. Found. Trends Commun. Inf. Theory 19(2): 107-389 (2022) - [j109]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: 287:1-287:52 (2022) - [j108]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): 4052-4064 (2022) - [j107]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): 1496-1531 (2022) - [j106]Jiachun Pan, Yonglong Li, Vincent Y. F. Tan:
Asymptotics of Sequential Composite Hypothesis Testing Under Probabilistic Constraints. IEEE Trans. Inf. Theory 68(8): 4998-5012 (2022) - [j105]Zexin Wang, Vincent Y. F. Tan, Jonathan Scarlett:
Tight Regret Bounds for Noisy Optimization of a Brownian Motion. IEEE Trans. Signal Process. 70: 1072-1087 (2022) - [j104]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: 2681-2697 (2022) - [c144]Joel Q. L. Chang, Vincent Y. F. Tan:
A Unifying Theory of Thompson Sampling for Continuous Risk-Averse Bandits. AAAI 2022: 6159-6166 - [c143]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: 16701-16710 - [c142]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 - [c141]Hanshu Yan, Jingfeng Zhang, Jiashi Feng, Masashi Sugiyama, Vincent Y. F. Tan:
Towards Adversarially Robust Deep Image Denoising. IJCAI 2022: 1516-1522 - [c140]Vincent Y. F. Tan, Prashanth L. A., Krishna P. Jagannathan:
A Survey of Risk-Aware Multi-Armed Bandits. IJCAI 2022: 5623-5629 - [c139]Qiaosheng Eric Zhang, Vincent Y. F. Tan:
Covert Communication with Mismatched Decoders. ISIT 2022: 312-317 - [c138]Yi Wei, Zixin Zhong, Vincent Y. F. Tan, Chan Wang:
Fast Beam Alignment via Pure Exploration in Multi-armed Bandits. ISIT 2022: 1886-1891 - [c137]Jiachun Pan, Yonglong Li, Vincent Y. F. Tan:
Asymptotic Nash Equilibrium for the Sequential Adversarial Hypothesis Testing Game. ISIT 2022: 2946-2951 - [c136]Shuche Wang, Van Khu Vu, Vincent Y. F. Tan:
Codes for the Asymmetric Damerau-Levenshtein Distance. ITW 2022: 558-563 - [c135]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: 594-599 - [c134]Karthik Periyapattana Narayana Prasad, Kota Srinivas Reddy, Vincent Y. F. Tan:
Best Restless Markov Arm Identification. ITW 2022: 648-653 - [c133]Jiawei Du, Daquan Zhou, Jiashi Feng, Vincent Y. F. Tan, Joey Tianyi Zhou:
Sharpness-Aware Training for Free. NeurIPS 2022 - [c132]Junwen Yang, Vincent Y. F. Tan:
Minimax Optimal Fixed-Budget Best Arm Identification in Linear Bandits. NeurIPS 2022 - [c131]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 - [i157]Hanshu Yan, Jingfeng Zhang, Jiashi Feng, Masashi Sugiyama, Vincent Y. F. Tan:
Towards Adversarially Robust Deep Image Denoising. CoRR abs/2201.04397 (2022) - [i156]Yunlong Hou, Vincent Y. F. Tan, Zixin Zhong:
Almost Optimal Variance-Constrained Best Arm Identification. CoRR abs/2201.10142 (2022) - [i155]Junwen Yang, Zixin Zhong, Vincent Y. F. Tan:
Optimal Clustering with Bandit Feedback. CoRR abs/2202.04294 (2022) - [i154]P. N. Karthik, Kota Srinivas Reddy, Vincent Y. F. Tan:
Best Arm Identification in Restless Markov Multi-Armed Bandits. CoRR abs/2203.15236 (2022) - [i153]Vincent Y. F. Tan, Prashanth L. A., Krishna P. Jagannathan:
A Survey of Risk-Aware Multi-Armed Bandits. CoRR abs/2205.05843 (2022) - [i152]Jiawei Du, Daquan Zhou, Jiashi Feng, Vincent Y. F. Tan, Joey Tianyi Zhou:
Sharpness-Aware Training for Free. CoRR abs/2205.14083 (2022) - [i151]Jiachun Pan, Yonglong Li, Vincent Y. F. Tan:
Asymptotic Nash Equilibrium for the M-ary Sequential Adversarial Hypothesis Testing Game. CoRR abs/2206.09620 (2022) - [i150]Kota Srinivas Reddy, P. N. Karthik, Vincent Y. F. Tan:
Almost Cost-Free Communication in Federated Best Arm Identification. CoRR abs/2208.09215 (2022) - [i149]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 abs/2209.09845 (2022) - [i148]Yujun Shi, Jian Liang, Wenqing Zhang, Vincent Y. F. Tan, Song Bai:
Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning. CoRR abs/2210.00226 (2022) - [i147]Zhirui Chen, P. N. Karthik, Vincent Y. F. Tan, Yeow Meng Chee:
Federated Best Arm Identification with Heterogeneous Clients. CoRR abs/2210.07780 (2022) - [i146]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 abs/2210.08188 (2022) - [i145]Yi Wei, Zixin Zhong, Vincent Y. F. Tan:
Fast Beam Alignment via Pure Exploration in Multi-armed Bandits. CoRR abs/2210.12625 (2022) - [i144]Lei Yu, Vincent Y. F. Tan:
Common Information, Noise Stability, and Their Extensions. CoRR abs/2211.01788 (2022) - [i143]Jiawei Du, Yidi Jiang, Vincent Y. F. Tan, Joey Tianyi Zhou, Haizhou Li:
Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation. CoRR abs/2211.11004 (2022) - 2021
- [j103]Zixin Zhong, Wang Chi Chueng, Vincent Y. F. Tan:
Thompson Sampling Algorithms for Cascading Bandits. J. Mach. Learn. Res. 22: 218:1-218:66 (2021) - [j102]Sandra S. Y. Tan, Antonios Varvitsiotis, Vincent Y. F. Tan:
Analysis of Optimization Algorithms via Sum-of-Squares. J. Optim. Theory Appl. 190(1): 56-81 (2021) - [j101]Vincent Y. F. Tan, Yao Xie:
Editorial. IEEE J. Sel. Areas Inf. Theory 2(2): 492-493 (2021) - [j100]Ting Cai, Vincent Y. F. Tan, Cédric Févotte:
Adversarially-Trained Nonnegative Matrix Factorization. IEEE Signal Process. Lett. 28: 1415-1419 (2021) - [j99]Lei Yu, Vincent Y. F. Tan:
On Non-Interactive Simulation of Binary Random Variables. IEEE Trans. Inf. Theory 67(4): 2528-2538 (2021) - [j98]Yonglong Li, Vincent Y. F. Tan:
On the Capacity of Channels With Deletions and States. IEEE Trans. Inf. Theory 67(5): 2663-2679 (2021) - [j97]Mahdi Haghifam, Vincent Y. F. Tan, Ashish Khisti:
Sequential Classification With Empirically Observed Statistics. IEEE Trans. Inf. Theory 67(5): 3095-3113 (2021) - [j96]Qiaosheng Eric Zhang, Vincent Y. F. Tan:
Covert Identification Over Binary-Input Discrete Memoryless Channels. IEEE Trans. Inf. Theory 67(8): 5387-5403 (2021) - [j95]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): 5651-5673 (2021) - [j94]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): 6758-6784 (2021) - [j93]Yuta Sakai, Recep Can Yavas, Vincent Y. F. Tan:
Third-Order Asymptotics of Variable-Length Compression Allowing Errors. IEEE Trans. Inf. Theory 67(12): 7708-7722 (2021) - [j92]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: 917-931 (2021) - [j91]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: 3059-3074 (2021) - [c130]Eugene T. Y. Ang, Mila Nambiar, Yong Sheng Soh, Vincent Y. F. Tan:
An Interpretable Intensive Care Unit Mortality Risk Calculator. EMBC 2021: 4152-4158 - [c129]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: 10107-10117 - [c128]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: 11693-11703 - [c127]Zixin Zhong, Wang Chi Cheung, Vincent Y. F. Tan:
Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions. ICML 2021: 12772-12781 - [c126]Jiachun Pan, Yonglong Li, Vincent Y. F. Tan:
Asymptotics of Sequential Composite Hypothesis Testing under Probabilistic Constraints. ISIT 2021: 172-177 - [c125]Yonglong Li, Vincent Y. F. Tan:
On the Feed-Forward Rate-Distortion Function for Stationary and Ergodic Sources. ISIT 2021: 2756-2761 - [c124]Yonglong Li, Vincent Y. F. Tan, Marco Tomamichel:
Optimal Adaptive Strategies for Sequential Quantum Hypothesis Testing. ITW 2021: 1-6 - [c123]Sadaf Salehkalaibar, Vincent Y. F. Tan:
Distributed Sequential Hypothesis Testing With Zero-Rate Compression. ITW 2021: 1-5 - [c122]Fengzhuo Zhang, Vincent Y. F. Tan:
Robustifying Algorithms of Learning Latent Trees with Vector Variables. NeurIPS 2021: 2292-2302 - [i142]Anshoo Tandon, Aldric H. J. Yuan, Vincent Y. F. Tan:
SGA: A Robust Algorithm for Partial Recovery of Tree-Structured Graphical Models with Noisy Samples. CoRR abs/2101.08917 (2021) - [i141]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 abs/2102.05311 (2021) - [i140]Ting Cai, Vincent Y. F. Tan, Cédric Févotte:
Adversarially-Trained Nonnegative Matrix Factorization. CoRR abs/2104.04757 (2021) - [i139]Yonglong Li, Vincent Y. F. Tan, Marco Tomamichel:
Optimal Adaptive Strategies for Sequential Quantum Hypothesis Testing. CoRR abs/2104.14706 (2021) - [i138]Qiaosheng Eric Zhang, Vincent Y. F. Tan:
Exact Recovery in the General Hypergraph Stochastic Block Model. CoRR abs/2105.04770 (2021) - [i137]