Vincent Y. F. Tan

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Conference Publications

  1. Age-Optimal Best Arm Identification
    Mengqiu Zhou, Le Yang, Vincent Y. F. Tan, and Meng Zhang
    Proc. of the 24th International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt), Columbus, Ohio, USA, June 2026

  2. Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set
    Heyang Zhao, Tianyuan Jin, Weixin Wang, Vincent Y. F. Tan, Pan Xu, and Quanquan Gu
    Proc. of the 14th International Conference on Learning Representations (ICLR), Rio de Janeiro, Brazil, May 2026 (AR ≈ 28%)

  3. Muon Outperforms Adam in Tail-End Associative Memory Learning
    Shuche Wang, Fengzhuo Zhang, Jiaxiang Li, Cunxiao Du, Chao Du, Tianyu Pang, Zhuoran Yang, Mingyi Hong, and Vincent Y. F. Tan
    Proc. of the 14th International Conference on Learning Representations (ICLR), Rio de Janeiro, Brazil, May 2026 (AR ≈ 28%)

  4. On the Exponential Convergence for Offline RLHF with Pairwise Comparisons
    Zhirui Chen and Vincent Y. F. Tan
    Proc. of the 40th AAAI Conference on Artificial Intelligence (AAAI) (Alignment Track), Singapore, Feb 2026 (Oral Presentation, AR: ≈ 22.7%)

  5. Finite‑Time Information‑Theoretic Bounds in Queueing Control
    Yujie Liu, Vincent Y. F. Tan, and Yunbei Xu
    Proc. of NeurIPS 2025 Mathematical Foundations and Operational Integration of Machine Learning for Uncertainty-Aware Decision-Making workshop

  6. Parameter-free Algorithms for the Stochastically Extended Adversarial Model
    Shuche Wang, Adarsh Barik, Peng Zhao, and Vincent Y. F. Tan
    Proc. of the 39th Annual Conference on Neural Information Processing Systems (NeurIPS), San Diego, CA, Dec 2025 (AR ≈ 24.5%)

  7. Best Arm Identification with Possibly Biased Offline Data
    Le Yang, Vincent Y. F. Tan, and Wang Chi Cheung
    Proc. of the 41st Conference on Uncertainty in Artificial Intelligence (UAI), Rio de Janeiro, Brazil, Jul 2025 (AR ≈ 30.7%)

  8. Asymptotically Optimal Linear Best Feasible Arm Identification with Fixed Budget
    Jie Bian and Vincent Y. F. Tan
    Proc. of the 41st Conference on Uncertainty in Artificial Intelligence (UAI), Rio de Janeiro, Brazil, Jul 2025 (AR ≈ 30.7%)

  9. Enhancing Long Video Generation Consistency without Tuning: Time-Frequency Analysis, Prompt Alignment, and Theory
    Xingyao Li, Fengzhuo Zhang, Jiachun Pan, Yunlong Hou, Vincent Y. F. Tan, and Zhuoran Yang
    Proc. of ICML 2025 Workshop on Building Physically Plausible World Models, Vancouver, Canada, Jul 2025 (Best Paper)

  10. LightningDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos
    Yujun Shi, Jun Hao Liew, Hanshu Yan, Vincent Y. F. Tan, and Jiashi Feng
    Proc. of the 42nd International Conference on Machine Learning (ICML), Vancouver, Canada, Jul 2025 (AR ≈ 26.9%)

  11. BanditSpec: Adaptive Speculative Decoding via Bandit Algorithms
    Yunlong Hou, Fengzhuo Zhang, Cunxiao Du, Xuan Zhang, Jiachun Pan, Tianyu Pang, Chao Du, Vincent Y. F. Tan, and Zhuoran Yang
    Proc. of the 42nd International Conference on Machine Learning (ICML), Vancouver, Canada, Jul 2025 (AR ≈ 26.9%)

  12. Log-Sum-Exponential Estimator for Off-Policy Evaluation and Learning
    Armin Behnamnia, Gholamali Aminian, Alireza Aghaei, Chengchun Shi, Vincent Y. F. Tan, and Hamid R. Rabiee
    Proc. of the 42nd International Conference on Machine Learning (ICML), Vancouver, Canada, Jul 2025 (Spotlight Poster, Top 2.6%)

  13. Ensemble-Tight Second-Order Asymptotics for Guessing-Based Decoding With Abandonment
    Vincent Y. F. Tan and Hamdi Joudeh
    ISIT 2025, Ann Arbor, Michigan, Jun 2025

  14. A General Framework for Clustering and Distribution Matching With Bandit Feedback
    Recep Can Yavas, Yuqi Huang, Vincent Y. F. Tan, and Jonathan Scarlett
    ISIT 2025, Ann Arbor, Michigan, Jun 2025

  15. Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning
    Jingyang Li, Jiachun Pan, Vincent Y. F. Tan, Kim-Chuan Toh, and Pan Zhou
    Proc. of the 13th International Conference on Learning Representations (ICLR), Singapore, May 2025 (Oral Presentation, Top 1.8%)

  16. Optimal Multi-Objective Best Arm Identification with Fixed Confidence [Slides]
    Zhirui Chen, P. N. Karthik, Yeow Meng Chee, and Vincent Y. F. Tan
    Proc. of 26th International Conference on Artificial Intelligence and Statistics (AISTATS), Phuket, Thailand, May 2025 (AR ≈ 31.3%)

  17. p-Mean Regret for Stochastic Bandits [Full Version on arXiv]
    Anand Krishna, Philips George John, Adarsh Barik, Vincent Y. F. Tan
    Proc. of the 39th AAAI Conference on Artificial Intelligence (AAAI), Philadelphia, PA, Feb 2025 (AR: 3032/12957 ≈ 23.4%)

  18. Almost Minimax Optimal Best Arm Identification in Piecewise Stationary Linear Bandits
    Yunlong Hou, Vincent Y. F. Tan, and Zixin Zhong
    Proc. of the 38th Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, Dec 2024 (AR ≈ 25.8%)

  19. Batch Learning via Log-Sum-Exponential Estimator from Logged Bandit Feedback
    Armin Behnamnia, Gholamali Aminian, Alireza Aghaei, Chengchun Shi, Vincent Y. F. Tan, and Hamid R. Rabiee
    Proc. of ICML 2024 Workshop on Aligning Reinforcement Learning Experimentalists and Theorists, Vienna, Austria, Jul 2024 (AR = 76/122 ≈ 62%)

  20. Order-Optimal Instance-Dependent Bounds for Offline Reinforcement Learning with Preference Feedback
    Zhirui Chen and Vincent Y. F. Tan
    Proc. of ICML 2024 Workshop on Models of Human Feedback for AI Alignment, Vienna, Austria, Jul 2024

  21. Influence Maximization via Graph Neural Bandits [Code]
    Yuting Feng, Vincent Y. F. Tan, and Bogdan Cautis
    Proc. of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Barcelona, Spain, Aug 2024 (AR ≈ 20%)

  22. Optimal Private Discrete Distribution Estimation with One-bit Communication
    Seung-Hyun Nam, Vincent Y. F. Tan, and Si-Hyeon Lee
    ISIT 2024, Athens, Greece, Jun 2024

  23. Best Arm Identification with Arm Erasures
    Srinivas Kota Reddy, P. N. Karthik, and Vincent Y. F. Tan
    ISIT 2024, Athens, Greece, Jun 2024

  24. Robust Distributed Gradient Descent to Corruption over Noisy Channels
    Shuche Wang and Vincent Y. F. Tan
    ISIT 2024, Athens, Greece, Jun 2024

  25. DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing [Project Page]
    Yujun Shi, Chuhui Xue, Jun Hao Liew, Jiachun Pan, Hanshu Yan, Wenqing Zhang, Vincent Y. F. Tan, and Song Bai
    Proc. of the Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, Jun 2024 (AR ≈ 23.6%, Spotlight ≈ 11.9% of Accepted Papers)

  26. Fixed-Budget Differentially Private Best Arm Identification
    Zhirui Chen, P. N. Karthik, Yeow Meng Chee, and Vincent Y. F. Tan
    Proc. of the 12th International Conference on Learning Representations (ICLR), Vienna, Austria, May 2024 (AR ≈ 31%)

  27. Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes
    Ruiquan Huang, Yuan Cheng, Jing Yang, Vincent Y. F. Tan, Yingbin Liang
    Proc. of the 12th International Conference on Learning Representations (ICLR), Vienna, Austria, May 2024 (AR ≈ 31%)

  28. AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models
    Jiachun Pan, Hanshu Yan, Jun Hao Liew, Vincent Y. F. Tan, and Jiashi Feng
    Proc. of the 12th International Conference on Learning Representations (ICLR), Vienna, Austria, May 2024 (AR ≈ 31%)

  29. Learning Regularized Monotone Graphon Mean-Field Games
    Fengzhuo Zhang, Vincent Y. F. Tan, Zhuoran Yang, and Zhaoran Wang
    Proc. of the 37th Annual Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, Dec 2023 (AR ≈ 26.1%)

  30. BLINK: Link Local Differential Privacy for Graph Neural Networks via Bayesian Estimation
    Xiaochen Zhu, Vincent Y. F. Tan, and Xiaokui Xiao
    Proc. of the ACM Conference on Computer and Communications Security (CCS), Copenhagen, Denmark, Nov 2023

  31. Deep Unrolling for Nonconvex Robust Principal Component Analysis
    Elizabeth Z. C. Tan, Caroline Chaux, Emmanuel Soubies, and Vincent Y. F. Tan
    Proc. of the 33rd IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2023), Rome, Italy, Sep 2023

  32. Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits
    Yunlong Hou, Vincent Y. F. Tan, and Zixin Zhong
    Proc. of the 40th International Conference on Machine Learning (ICML), Hawaii, Jul 2023 (AR: 1827/6538 ≈ 27.9%)

  33. Communication-Constrained Bandits under Additive Gaussian Noise
    Prathamesh Mayekar, Jonathan Scarlett, and Vincent Y. F. Tan
    Proc. of the 40th International Conference on Machine Learning (ICML), Hawaii, Jul 2023 (AR: 1827/6538 ≈ 27.9%)

  34. Codes for Correcting t Limited-Magnitude Sticky Deletions
    Shuche Wang, Vu Van Khu and Vincent Y. F. Tan
    ISIT 2023, Taipei, Taiwan, Jun 2023

  35. Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation
    Jiawei Du, Yidi Jiang, Vincent Y. F. Tan, Joey Tianyi Zhou, and Haizhou Li
    Proc. of the Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Jun 2023 (AR: 2360/9155 ≈ 25.78%)

  36. Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning
    Yujun Shi, Jian Liang, Wenqing Zhang, Vincent Y. F. Tan, and Song Bai
    Proc. of the 11th International Conference on Learning Representations (ICLR), Kigali, Rwanda, May 2023 (AR ≈ 31.8%)

  37. How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm?
    Haiyun He, Gholamali Aminian, Yuheng Bu, Miguel R. D. Rodrigues, and Vincent Y. F. Tan
    Proc. of 26th International Conference on Artificial Intelligence and Statistics (AISTATS), Valencia, Spain, Apr 2023 (AR ≈ 29%)

  38. Almost Cost-Free Communication in Federated Best Arm Identification
    Kota Srinivas Reddy, P. N. Karthik, and Vincent Y. F. Tan
    Proc. of the 37th AAAI Conference on Artificial Intelligence (AAAI), Washington DC, USA, Feb 2023 (AR: 1721/8777 ≈ 19.6%)

  39. Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL
    Fengzhuo Zhang, Boyi Liu, Kaixin Wang, Vincent Y. F. Tan, Zhuoran Yang, and Zhaoran Wang
    Proc. of the 36th Annual Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, Dec 2022 (AR ≈ 25.6%)

  40. Minimax Optimal Fixed-Budget Best Arm Identification in Linear Bandits
    Junwen Yang and Vincent Y. F. Tan
    Proc. of the 36th Annual Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, Dec 2022 (AR ≈ 25.6%)

  41. Sharpness-Aware Training for Free
    Jiawei Du, Daquan Zhou, Jiashi Feng, Vincent Y. F. Tan, and Joey Tianyi Zhou
    Proc. of the 36th Annual Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, Dec 2022 (AR ≈ 25.6%)

  42. Active-LATHE: An Active Learning Algorithm for Boosting the Error Exponent for Learning Homogeneous Ising Trees
    Fengzhuo Zhang, Anshoo Tandon and Vincent Y. F. Tan
    ITW 2022, Mumbai, India, Nov 2022

  43. Best Restless Markov Arm Identification
    P. N. Karthik, Kota Srinivas Reddy, and Vincent Y. F. Tan
    ITW 2022, Mumbai, India, Nov 2022

  44. Codes for the Asymmetric Damerau--Levenshtein Distance
    Shuche Wang, Vu Van Khu and Vincent Y. F. Tan
    ITW 2022, Mumbai, India, Nov 2022

  45. Fast Beam Alignment via Pure Exploration in Multi-Armed Bandits
    Yi Wei, Zixin Zhong, Vincent Y. F. Tan, and Chan Wang
    ISIT 2022, Aalto, Finland, Jun-Jul 2022

  46. Asymptotic Nash Equilibrium for the Sequential Adversarial Hypothesis Testing Game
    Jiachun Pan, Yonglong Li and Vincent Y. F. Tan
    ISIT 2022, Aalto, Finland, Jun-Jul 2022

  47. Covert Communication with Mismatched Decoders
    Qiaosheng (Eric) Zhang and Vincent Y. F. Tan
    ISIT 2022, Aalto, Finland, Jun-Jul 2022

  48. Towards Adversarially Robust Deep Image Denoising
    Hanshu Yan, Jingfeng Zhang, Jiashi Feng, Masashi Sugiyama, and Vincent Y. F. Tan
    Proc. of the 31st International Joint Conference on Artificial Intelligence (IJCAI), Vienna, Austria, Aug 2022 (AR ≈ 15%)

  49. A Survey of Risk-Aware Multi-Armed Bandits [Full Version] [Slides]
    Vincent Y. F. Tan, Prashanth L. A., and Krishna Jagannathan
    Proc. of the 31st International Joint Conference on Artificial Intelligence (IJCAI) (Survey Track), Vienna, Austria, Aug 2022 (AR: 38/209 ≈ 18.2%)

  50. Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning
    Yujun Shi, Kuangqi Zhou, Jian Liang, Zihang Jiang, Jiashi Feng, Philip Torr, Song Bai, and Vincent Y. F. Tan
    Proc. of the Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, USA, Jun 2022 (AR: 2067/8161 ≈ 25.33%)

  51. Efficient Sharpness-aware Minimization for Improved Training of Neural Networks
    Jiawei Du, Hanshu Yan, Jiashi Feng, Joey Tianyi Zhou, Liangli Zhen, Rick Siow Mong Goh, and Vincent Y. F. Tan
    Proc. of the 10th International Conference on Learning Representations (ICLR), Virtual, Apr 2022 (AR: 1095/3391 ≈ 32.3%)

  52. A Unifying Theory of Thompson Sampling for Continuous Risk-Averse Bandits [Java Code]
    Joel Q. L. Chang and Vincent Y. F. Tan (Oral Presentation)
    Proc. of the 36th AAAI Conference on Artificial Intelligence (AAAI), Vancouver, BC, Canada, Feb 2022 (AR: 1349/9020 ≈ 15.0%)

  53. Robustifying Latent Tree Learning Algorithms with Vector Variables
    Fengzhuo Zhang and Vincent Y. F. Tan
    Proc. of the 35th Annual Conference on Neural Information Processing Systems (NeurIPS), Virtual, Dec 2021

  54. Distributed Sequential Hypothesis Testing With Zero-Rate Compression
    Sadaf Salehkalaibar and Vincent Y. F. Tan
    ITW 2021, Kanazawa, Japan, Oct 2021

  55. Optimal Adaptive Strategies for Sequential Quantum Hypothesis Testing
    Yonglong Li, Vincent Y. F. Tan, and Marco Tomamichel
    ITW 2021, Kanazawa, Japan, Oct 2021

  56. An Interpretable Intensive Care Unit Mortality Risk Calculator
    Eugene T. Y. Ang, Milashini Nambiar, Yong Sheng Soh and Vincent Y. F. Tan
    43rd Annual International Conference of the IEEE Engineering in Medicine and Biology (EMB) Society, Oct-Nov 2021

  57. Asymptotics of Sequential Composite Hypothesis Testing under Probabilistic Constraints
    Jiachun Pan, Yonglong Li and Vincent Y. F. Tan
    ISIT 2021, Melbourne, Australia

  58. On the Feed-Forward Rate-Distortion Function for Stationary and Ergodic Sources
    Yonglong Li and Vincent Y. F. Tan
    ISIT 2021, Melbourne, Australia

  59. Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions [Code] [Video]
    Zixin Zhong, Wang Chi Cheung, and Vincent Y. F. Tan 
    Proc. of the 38th International Conference on Machine Learning (ICML), Virtual, Jul 2021

  60. CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection
    Hanshu Yan, Jingfeng Zhang, Gang Niu, Jiashi Feng, Vincent Y. F. Tan, and Masashi Sugiyama
    Proc. of the 38th International Conference on Machine Learning (ICML), Virtual, Jul 2021

  61. SGA: A Robust Algorithm for Partial Recovery of Tree-Structured Graphical Models with Noisy Samples [Slides] [Poster] [Code] [Video]
    Anshoo Tandon, Aldric J. Y. Han and Vincent Y. F. Tan 
    Proc. of the 38th International Conference on Machine Learning (ICML), Virtual, Jul 2021

  62. Third-Order Asymptotics of Variable-Length Compression Allowing Errors
    Yuta Sakai and Vincent Y. F. Tan
    ISITA 2020, Kapolei, Hawai’i, USA

  63. Optimal Resolution of Change-Point Detection with Empirically Observed Statistics and Erasures
    Haiyun He, Qiaosheng (Eric) Zhang, and Vincent Y. F. Tan
    ISITA 2020, Kapolei, Hawai’i, USA

  64. Thompson Sampling Algorithms for Mean-Variance Bandits [Code]
    Qiuyu Zhu and Vincent Y. F. Tan
    Proc. of the 37th International Conference on Machine Learning (ICML), Vienna, Austria, Jul 2020

  65. Best Arm Identification for Cascading Bandits in the Fixed Confidence Setting
    Zixin Zhong, Wang Chi Cheung, and Vincent Y. F. Tan
    Proc. of the 37th International Conference on Machine Learning (ICML), Vienna, Austria, Jul 2020

  66. On the Error Exponent of Approximate Sufficient Statistics for M-ary Hypothesis Testing
    Jiachun Pan, Yonglong Li, Vincent Y. F. Tan, and Yonina C. Eldar
    ISIT 2020, Los Angeles, CA, USA

  67. Achievability Bounds for Community Detection and Matrix Completion with Two-Sided Graph Side Information
    Qiaosheng (Eric) Zhang, Vincent Y. F. Tan, and Changho Suh
    ISIT 2020, Los Angeles, CA, USA

  68. Bee-Identification Error Exponent with Absentee Bees
    Anshoo Tandon, Vincent Y. F. Tan, and Lav R. Varshney
    ISIT 2020, Los Angeles, CA, USA

  69. On the Capacity of Deletion Channels with State
    Yonglong Li and Vincent Y. F. Tan
    ISIT 2020, Los Angeles, CA, USA

  70. Second-Order Asymptotics of Sequential Hypothesis Testing
    Yonglong Li and Vincent Y. F. Tan
    ISIT 2020, Los Angeles, CA, USA

  71. On the Second- and Third-Order Asymptotics of Smooth Rényi Entropy and Their Applications
    Yuta Sakai and Vincent Y. F. Tan
    ISIT 2020, Los Angeles, CA, USA

  72. Variable-Length Source Dispersions Differ Under Maximum and Average Criteria
    Yuta Sakai and Vincent Y. F. Tan
    ISIT 2020, Los Angeles, CA, USA

  73. Economy Statistical Recurrent Units for Inferring Nonlinear Granger Causality
    Saurabh Khanna and Vincent Y. F. Tan
    Proc. of the 8th International Conference on Learning Representations (ICLR), Addis Ababa, Apr 2020

  74. On Robustness of Neural Ordinary Differential Equations
    Hanshu Yan, Jiawei Du, Vincent Y. F. Tan, and Jiashi Feng
    Proc. of the 8th International Conference on Learning Representations (ICLR) (Spotlight), Addis Ababa, Apr 2020

  75. Mobile Gait Analysis using Foot-Mounted UWB Sensors
    Boyd Anderson, Mingqian Shi, Vincent Y. F. Tan and Wang Ye
    Proc. of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Vol. 3, Issue 3, Sep 2019

  76. A Ranking Model Motivated by Nonnegative Matrix Factorization with Applications to Tennis Tournaments [Slides]
    Rui Xia, Vincent Y. F. Tan, Louis Filstroff, and Cédric Févotte
    Proc. of European Conference on Machine Learning (ECML/PKDD), 2019

  77. Second-Order Asymptotics for the Continuous-Time Poisson Channel
    Yuta Sakai, Mladen Kovačević, and Vincent Y. F. Tan
    ITW 2019, Visby, Gotland, Sweden

  78. Random Coding Error Exponent for the Bee-Identification Problem
    Anshoo Tandon, Vincent Y. F. Tan, and Lav Varshney
    ITW 2019, Visby, Gotland, Sweden

  79. Distributed Detection with Empirically Observed Statistics
    Haiyun He, Lin Zhou, and Vincent Y. F. Tan
    ITW 2019, Visby, Gotland, Sweden

  80. Sequential Classification with Empirically Observed Statistics
    Mahdi Haghifam, Vincent Y. F. Tan, and Ashish Khisti
    ITW 2019, Visby, Gotland, Sweden

  81. A Unified Framework for the Convergence Analysis of Optimization Algorithms via Sum-of-Squares
    Sandra S. Y. Tan, Antonios Varvitsiotis and Vincent Y. F. Tan
    SPARS 2019 (Oral Presentation), Toulouse, France

  82. Covert Communication Over a Compound Discrete Memoryless Channel
    Mehrasa Ahmadipour, Sadaf Salehkalaibar, Mohammad Hossein Yassaee and Vincent Y. F. Tan
    ISIT 2019, Paris, France

  83. Throughput Scaling of Covert Communication over Wireless Adhoc Networks
    Kang-Hee Cho, Si-Hyeon Lee and Vincent Y. F. Tan
    ISIT 2019, Paris, France

  84. Exact Channel Synthesis
    Lei Yu and Vincent Y. F. Tan
    ISIT 2019, Paris, France

  85. On Exact and ∞-Rényi Common Informations
    Lei Yu and Vincent Y. F. Tan
    ISIT 2019, Paris, France

  86. Second-Order Asymptotically Optimal Statistical Classification
    Lin Zhou, Vincent Y. F. Tan, and Mehul Motani
    ISIT 2019, Paris, France

  87. Strong Converse for Hypothesis Testing over a Two-Hop Network
    Daming Cao, Lin Zhou and Vincent Y. F. Tan
    ISIT 2019, Paris, France

  88. Adaptive community detection via fused L1 penalty
    Yunjin Choi, Vincent Y. F. Tan, and Zhaoqiang Liu
    Proc. EcoSta (invited), 2019

  89. Thompson Sampling for Cascading Bandits
    Wang Chi Cheung, Vincent Y. F. Tan, and Zixin Zhong
    Proc. of the 22nd AISTATS (Oral Presentation) PMLR, 2019, Naha, Okinawa, Japan

  90. An Optimal Algorithm for Stochastic Three-Composite Optimization
    Renbo Zhao, William B. Haskell and Vincent Y. F. Tan
    Proc. of the 22nd AISTATS, PMLR, 2019, Naha, Okinawa, Japan

  91. Time-Division is Optimal for Covert Communication over Some Broadcast Channels
    Vincent Y. F. Tan and Si-Hyeon Lee
    ITW 2018, Guangzhou, China

  92. Simulation of Random Variables under Rényi Divergence Measures of All Orders
    Lei Yu and Vincent Y. F. Tan
    ITW 2018, Guangzhou, China

  93. MANA: Designing And Validating A User-Centered Mobility Analysis System
    Boyd Anderson, Shenggao Zhu, Ke Yang, Jian Wang, Hugh Anderson, Chao Xu Tay, Vincent Y. F. Tan and Wang Ye
    Proc. of the 20th Intl. ACM SIGACCESS Conference on Computers and Accessibility (ASSETS), 2018, Galway, Ireland

  94. Inference Algorithms for the Multiplicative Mixture Mallows Model
    Ranjitha Prasad and Vincent Y. F. Tan
    SPCOM 2018, Bangalore

  95. Exact Error and Erasure Exponents for the Asymmetric Broadcast Channel
    Daming Cao and Vincent Y. F. Tan
    ISIT 2018, Vail, Colorado, USA

  96. The Informativeness of k-Means for Learning Mixture Models
    Zhaoqiang Liu and Vincent Y. F. Tan
    ISIT 2018, Vail, Colorado, USA

  97. Wyner's Common Information under Rényi Divergence Measures
    Lei Yu and Vincent Y. F. Tan
    ISIT 2018, Vail, Colorado, USA

  98. The Reliability Function of Lossy Source-Channel Coding of Variable-Length Codes with Feedback
    Lan Vinh Truong and Vincent Y. F. Tan
    ISIT 2018, Vail, Colorado, USA

  99. Second-Order Asymptotics of Rate-Distortion using Gaussian Codebooks for Arbitrary Sources
    Lin Zhou, Vincent Y. F. Tan, and Mehul Motani
    ISIT 2018, Vail, Colorado, USA

  100. Second-Order Asymptotics of Universal JSCC for Arbitrary Sources and Additive Channels
    Lin Zhou, Vincent Y. F. Tan, and Mehul Motani
    ISIT 2018, Vail, Colorado, USA

  101. Error-Free Communication Over State-Dependent Channels with Variable-Length Feedback
    Carol Wang, Mladen Kovacevic and Vincent Y. F. Tan
    ISIT 2018, Vail, Colorado, USA

  102. Minimax Lower Bounds for Nonnegative Matrix Factorization
    Mine Alsan, Zhaoqiang Liu, and Vincent Y. F. Tan
    IEEE Statistical Signal Processing (SSP) Workshop, 2018, Frieburg, Germany

  103. Applications of an Exact Formula for the Largest Minimum Distance of Block Codes
    Ling-Hua Chang, Carol Wang, Po-Ning Chen, Yunghsiang Han and Vincent Y. F. Tan
    52th Annual Conference on Information Sciences and Systems (CISS), Princeton, NJ, March 2018

  104. Moderate Deviation Analysis for Classical Communication over Quantum Channels
    (merged with "Moderate Deviation Analysis and Sphere-Packing Bounds for Classical-Quantum Channels")
    Christopher T. Chubb, Marco Tomamichel and Vincent Y. F. Tan
    (merged with Hao-Chung Cheng, Min-Hsiu Hsieh and Marco Tomamichel)
    21st Annual Conference on Quantum Information Processing (QIP), 2018, Delft Netherlands

  105. Rényi Resolvability and Its Applications to the Wiretap Channel
    Lei Yu and Vincent Y. F. Tan
    Proceedings of the 10th International Conference on Information Theoretic Security (ICITS), 2017, Hong Kong

  106. Distance Spectrum Formula for the Largest Minimum Hamming Distance of Finite-Length Binary Block Codes
    Ling-Hua Chang, Carol Wang, Po-Ning Chen, Yunghsiang Han and Vincent Y. F. Tan 
    ITW 2017, Kaohsiung, Taiwan

  107. Delay Scaling Laws of Random Wireless Networks: Impact of Blocklength
    Cheng-Hsiung Liu, Vincent Y. F. Tan, and I-Hsiang Wang
    ITW 2017, Kaohsiung, Taiwan

  108. Error Exponent for Covert Communications over Discrete Memoryless Channels
    Mehrdad Tahmasbi, Matthieu R. Bloch and Vincent Y. F. Tan
    ITW 2017, Kaohsiung, Taiwan

  109. On the Gaussian MAC with Degraded Message Sets and Long-Term Power Constraints
    Selma Belhadj Amor and Vincent Y. F. Tan
    ITW 2017, Kaohsiung, Taiwan

  110. A Tight Upper Bound on the Second-Order Coding Rate of Parallel Gaussian Channels with Feedback
    Silas L. Fong and Vincent Y. F. Tan
    ITW 2017, Kaohsiung, Taiwan

  111. Robust Decoding Schemes for Polar Coding over Compound Channels
    Mine Alsan and Vincent Y. F. Tan
    ITW 2017, Kaohsiung, Taiwan

  112. Stochastic L-BFGS Revisited: Improved Convergence Rates and Practical Acceleration Strategies
    Renbo Zhao, William B. Haskell and Vincent Y. F. Tan
    Proceedings of the Uncertainty in Artificial Intelligence (UAI) Conference, 2017, Sydney, Australia

  113. Communication over a Channel that Wears Out
    Ting-Yi Wu, Lav R. Varshney and Vincent Y. F. Tan
    ISIT 2017, Aachen, Germany

  114. Coding for the Permutation Channel with Insertions, Deletions, Substitutions, and Erasures
    Mladen Kovacevic and Vincent Y. F. Tan
    ISIT 2017, Aachen, Germany

  115. Hypothesis Testing under Maximal Leakage Privacy Constraints
    Jiachun Liao, Lalitha Sankar, Flavio du Pin Calmon and Vincent Y. F. Tan
    ISIT 2017, Aachen, Germany

  116. Mininimum Rates of Approximate Sufficient Statistics
    Masahito Hayashi and Vincent Y. F. Tan
    ISIT 2017, Aachen, Germany

  117. Moderate Deviation Analysis for Classical Communication over Quantum Channels
    Christopher T. Chubb, Marco Tomamichel and Vincent Y. F. Tan
    ISIT 2017, Aachen, Germany

  118. Exact Moderate Deviation Asymptotics in Streaming Data Transmission
    Si-Hyeon Lee, Vincent Y. F. Tan and Ashish Khisti
    ISIT 2017, Aachen, Germany

  119. On Achievable Rates of AWGN Energy-Harvesting Channels with Block Energy Arrival and Non-Vanishing Error Probabilities
    Silas L. Fong, Vincent Y. F. Tan and Ayfer Ozgur
    ISIT 2017, Aachen, Germany

  120. Strong Converse Theorems for Discrete Memoryless Networks with Tight Cutset Bounds
    Silas L. Fong and Vincent Y. F. Tan
    ISIT 2017, Aachen, Germany

  121. Strong Converse for Content Identification with Lossy Recovery
    Lin Zhou, Vincent Y. F. Tan, and Mehul Motani
    ISIT 2017, Aachen, Germany

  122. Achievable Moderate Deviation Asymptotics for Streaming Slepian-Wolf Coding
    Lin Zhou, Vincent Y. F. Tan, and Mehul Motani
    ISIT 2017, Aachen, Germany

  123. Error Exponent of the Common-Message Broadcast Channel with Variable-Length Feedback
    Lan V. Truong and Vincent Y. F. Tan
    ISIT 2017, Aachen, Germany

  124. On the Gaussian MAC with Stop-Feedback
    Lan V. Truong and Vincent Y. F. Tan
    ISIT 2017, Aachen, Germany

  125. Online Nonnegative Matrix Factorization with General Divergences [Preprint] [Slides]
    Renbo Zhao, Vincent Y. F. Tan and Huan Xu
    Proceedings of the 20th International Conference on AISTATS, PMLR 54:37-45, 2017, Fort Lauderdale, FL

  126. Relative Error Bounds for Nonnegative Matrix Factorization Under a Geometric Assumption
    Zhaoqiang Liu and Vincent Y. F. Tan
    ICASSP 2017, New Orleans, Louisiana

  127. A Unified Convergence Analysis of the Multiplicative Update Algorithm for Regularized NMF with General Divergences
    Renbo Zhao and Vincent Y. F. Tan
    ICASSP 2017, New Orleans, Louisiana

  128. Hypothesis Testing in the High Privacy Limit
    Jiachun Liao, Lalitha Sankar, Vincent Y. F. Tan, and Flavio du Pin Calmon
    Allerton Conference 2016, Monticello, IL

  129. Hypothesis Testing in the High Privacy Limit
    Jiachun Liao, Lalitha Sankar, Vincent Y. F. Tan, and Flavio du Pin Calmon
    SPCOM 2016, Bangalore (LS Invited)

  130. The ε-Capacity Region of AWGN Multiple Access Channels with Feedback
    Lan V. Truong, Silas L. Fong and Vincent Y. F. Tan
    SPCOM 2016, Bangalore (VYFT Invited)

  131. Non-Asymptotic Achievable Rates for Energy-Harvesting Channels using Save-and-Transmit
    Silas L. Fong, Vincent Y. F. Tan and Jing Yang
    ISIT 2016, Barcelona, Spain

  132. On Second-Order Asymptotics for the AWGN Channel under an Expected Power Constraint
    Lan V. Truong, Silas L. Fong and Vincent Y. F. Tan
    ISIT 2016, Barcelona, Spain

  133. Remaining Uncertainties and Exponents under Various Rényi Information Measures
    Masahito Hayashi and Vincent Y. F. Tan
    ISIT 2016, Barcelona, Spain

  134. Streaming Data Transmission in the Moderate Deviations and Central Limit Regimes
    Si-Hyeon Lee, Vincent Y. F. Tan and Ashish Khisti
    ISIT 2016, Barcelona, Spain

  135. A Proof of the Strong Converse Theorem for Gaussian Broadcast Channels via the Gaussian Poincare Inequality
    Silas L. Fong and Vincent Y. F. Tan
    ISIT 2016, Barcelona, Spain

  136. The Dispersion of Nearest-Neighbor Decoding for Additive Non-Gaussian Channels
    Jonathan Scarlett, Vincent Y. F. Tan and Giuseppe Durisi
    ISIT 2016, Barcelona, Spain

  137. Discrete Lossy Gray-Wyner Revisited: Second-Order Asymptotics, Large and Moderate Deviations
    Zhou Lin, Vincent Y. F. Tan and Mehul Motani
    ISIT 2016, Barcelona, Spain

  138. Second-Order and Moderate Deviation Asymptotics for Successive Refinement
    Zhou Lin, Vincent Y. F. Tan and Mehul Motani
    ISIT 2016, Barcelona, Spain

  139. The Dispersion of Nearest-Neighbor Decoding for Additive Non-Gaussian Channels [Preprint]
    Jonathan Scarlett, Vincent Y. F. Tan and Giuseppe Durisi
    International Zurich Seminar on Communications (IZS), 2016 (GD Invited)

  140. Two Applications of the Gaussian Poincare Inequality in the Shannon Theory [Slides]
    Silas L. Fong and Vincent Y. F. Tan
    International Zurich Seminar on Communications (IZS), 2016 (VYFT Invited)

  141. Online Non-Negative Matrix Factorization with Outliers
    Renbo Zhao and Vincent Y. F. Tan
    ICASSP 2016, Shanghai, China

  142. Adversarial Top-K Ranking
    Changho Suh, Vincent Y. F. Tan and Renbo Zhao
    ITA UCSD, Feb 2016 (CS Invited)

  143. Second-Order Coding Rates for m-Class Source-Channel Codes
    Yana Shkel, Vincent Y. F. Tan and Stark Draper
    Allerton Conference 2015, Monticello, IL

  144. Error and Erasure Exponents for the Asymmetric Broadcast Channel
    Vincent Y. F. Tan
    ITW 2015, Jeju Island, South Korea

  145. A Proof of the Strong Converse Theorem for Gaussian Multiple Access Channels
    Silas L. Fong and Vincent Y. F. Tan
    ITW 2015, Jeju Island, South Korea

  146. Equivocations and Exponents under various Rényi Information Measures
    Masahito Hayashi and Vincent Y. F. Tan
    ISIT 2015, Hong Kong

  147. Error and Undetected Error Probabilities in the Moderate Deviations Regime
    Masahito Hayashi and Vincent Y. F. Tan
    ISIT 2015, Hong Kong

  148. Strong Converse Theorems for Classes of Multimessage Multicast Networks: A Rényi Divergence Approach
    Silas L. Fong and Vincent Y. F. Tan
    ISIT 2015, Hong Kong

  149. Asymptotic Expansions for Gaussian Channels with Feedback under a Peak Power Constraint
    Silas L. Fong and Vincent Y. F. Tan
    ISIT 2015, Hong Kong

  150. Second-Order Asymptotics for the Discrete Memoryless MAC with Degraded Message Sets
    Jonathan Scarlett and Vincent Y. F. Tan
    ISIT 2015, Hong Kong

  151. Strong Converse Theorems for Classes of Multimessage Multicast Networks: A Renyi Divergence Approach
    Silas L. Fong and Vincent Y. F. Tan
    ITA UCSD, Feb 2015 (VYFT Invited)

  152. Information Spectrum Approach to Strong Converse Theorems for Degraded Wiretap Channels
    Vincent Y. F. Tan and Matthieu R. Bloch
    Allerton Conference 2014, Monticello, IL

  153. Second-Order Asymptotics for the Gaussian Interference Channel with Strictly Very Strong Interference [Full version]
    Sy-Quoc Le, Vincent Y. F. Tan and Mehul Motani 
    ISIT 2014, Honolulu, Hawaii

  154. Second-Order Asymptotics for the Gaussian MAC with Degraded Message Sets [Full version]
    Jonathan Scarlett and Vincent Y. F. Tan
    ISIT 2014, Honolulu, Hawaii (ISIT Student Paper Award Finalist)

  155. The Third-Order Term in the Normal Approximation for the AWGN Channel [Slides] [Full version]
    Vincent Y. F. Tan and Marco Tomamichel
    ISIT 2014, Honolulu, Hawaii

  156. Moderate Deviations for Joint Source-Channel Coding for Systems with Markovian Memory [Slides]
    Vincent Y. F. Tan, Shun Watanabe and Masahito Hayashi
    ISIT 2014, Honolulu, Hawaii

  157. Second Order Refinements to the Classical Capacities of Quantum Channels for Separable Input States [Full version]
    Marco Tomamichel and Vincent Y. F. Tan 
    ISIT 2014, Honolulu, Hawaii

  158. Second-Order Capacities for Erasure and List Decoding [Slides] [Full version]
    Vincent Y. F. Tan and Pierre Moulin
    ISIT 2014, Honolulu, Hawaii

  159. On Mismatched Unequal Message Protection for Finite Block Length Joint Source-Channel Coding
    Yana Shkel, Vincent Y. F. Tan and Stark Draper
    ISIT 2014, Honolulu, Hawaii

  160. Achievability Bounds for Unequal Message Protection at Finite Block Lengths
    Yana Shkel, Vincent Y. F. Tan and Stark Draper
    ISIT 2014, Honolulu, Hawaii

  161. Strong Impossibility Results for Noisy Group Testing [Full version]
    Vincent Y. F. Tan and George K. Atia
    ICASSP, May 2014, Florence, Italy

  162. Second-Order Asymptotics for the Gaussian MAC with Degraded Message Sets
    Jonathan Scarlett and Vincent Y. F. Tan
    ITA UCSD, Feb 2014 (VYFT Invited)

  163. Assorted Codes in the Finite Blocklength Regime
    Yana Shkel, Vincent Y. F. Tan and Stark Draper
    ITA UCSD, Feb 2014 (YS Invited)

  164. Classical-Quantum Channels: Non-Asymptotic Fundamental Limits and Gaussian Approximations
    Marco Tomamichel and Vincent Y. F. Tan
    Quantum Information Processing (QIP) 2014, Barcelona, Spain (Poster Presentation)

  165. MOGT: Oversampling with a Parsimonious Mixture of Gaussian Trees Model for Imbalanced Time-Series Classification [Full version]
    John Z. F. Pang, Hong Cao and Vincent Y. F. Tan 
    IEEE Workshop on Machine Learning and Signal Processing (MLSP) 2013, Southampton, UK

  166. ε-Capacity and Strong Converse for Channels with General State [Full version]
    Marco Tomamichel and Vincent Y. F. Tan
    ITW 2013, Seville, Spain

  167. Error Exponents for the Relay Channel [Full version]
    Vincent Y. F. Tan
    ISIT 2013, Istanbul, Turkey

  168. A Formula for the Capacity of the General Gelfand-Pinsker Channel [Full version]
    Vincent Y. F. Tan
    ISIT 2013, Istanbul, Turkey

  169. Non-Asymptotic and Second-Order Achievability Bounds for Source Coding With Side-Information [Full version]
    Shun Watanabe, Shigeaki Kuzuoka and Vincent Y. F. Tan
    ISIT 2013, Istanbul, Turkey

  170. A Tight Upper Bound for the Third-Order Asymptotics of Discrete Memoryless Channels [Full version]
    Marco Tomamichel and Vincent Y. F. Tan
    ISIT 2013, Istanbul, Turkey

  171. Converse Bounds for Assorted Codes in the Finite Blocklength Regime
    Yanina Shkel, Vincent Y. F. Tan and Stark C. Draper
    ISIT 2013, Istanbul, Turkey

  172. On the Dispersions of the Discrete Memoryless Interference Channel
    Sy-Quoc Le, Vincent Y. F. Tan and Mehul Motani
    ISIT 2013, Istanbul, Turkey

  173. Wireless Compressive Sensing for Energy Harvesting Sensor Nodes over Fading Channels [Full version]
    Gang Yang, Vincent Y. F. Tan, Chin Keong Ho, See Ho Ting and Yong Liang Guan
    ICC 2013, Budapest, Hungary

  174. On the Dispersions of the Discrete Memoryless Interference Channel
    Sy-Quoc Le, Vincent Y. F. Tan and Mehul Motani
    UCSD ITA 2013, La Jolla, CA

  175. Transmission of Correlated Sources over a MAC: A Gaussian Approximation-Based Analysis [Slides]
    Vincent Y. F. Tan
    Allerton Conference 2012, Monticello, IL

  176. Achievable Second-Order Coding Rates for the Wiretap Channel
    Vincent Y. F. Tan
    IEEE International Conference on Communication Systems (ICCS) 2012, Singapore

  177. The Dispersion of Slepian-Wolf Coding [Slides] [Full Version]
    Vincent Y. F. Tan and Oliver Kosut
    ISIT 2012, Cambridge, MA

  178. Moderate-Deviations for Lossy Source Coding of Discrete and Gaussian Sources [Slides]
    Vincent Y. F. Tan
    ISIT 2012, Cambridge, MA

  179. On the Dispersions of Three Network Information Theory Problems
    Vincent Y. F. Tan and Oliver Kosut (VYFT Invited)
    Conference on Information Sciences and Systems (CISS), Mar 2012, Princeton, NJ

  180. The Dispersion of Slepian-Wolf Coding [Full Version]
    Vincent Y. F. Tan and Oliver Kosut (VYFT Invited)
    Information Theory and Applications (ITA) Workshop, Jan 2012, San Diego, CA

  181. Sample Complexity for Topology Estimation in Networks of LTI Systems [Slides]
    Vincent Y. F. Tan and Alan S. Willsky (VYFT Invited)
    IEEE Conference on Decision and Control (CDC) 2011, Orlando, FL

  182. Automatic Relevance Determination in Nonnegative Matrix Factorization with the β-Divergence [Poster] [Slides]
    Vincent Y. F. Tan and Cédric Févotte
    NIPS Workshop on Sparse Representation and Low-rank Approximation 2011, Granada, Spain

  183. High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions
    Animashree Anandkumar, Vincent Y. F. Tan, and Alan S. Willsky
    Neural Information Processing Systems (NIPS) 2011, Granada, Spain

  184. The Sender-Excited Secret-Key Agreement Model: Capacity Theorems [Preprint] [Slides]
    Tzu-Han Chou, Vincent Y. F. Tan and Stark C. Draper
    Allerton Conference 2011, Monticello, IL

  185. Canonical Estimation in a Rare Events Regime [Slides]
    Mesrob I. Ohannessian, Vincent Y. F. Tan and Munther A. Dahleh
    Allerton Conference 2011, Monticello, IL

  186. Structure Estimation of Graphical Models Using Local Algorithms
    Animashree Anandkumar, Vincent Y. F. Tan, and Alan S. Willsky
    Allerton Conference 2011, Monticello, IL

  187. Reconstruction of Polytree Networks of Dynamical Systems with Latent Nodes
    Donatello Materassi, Vincent Y. F. Tan
    Allerton Conference 2011, Monticello, IL

  188. Sample Complexity for Topology Estimation in Networks of LTI Systems [Slides]
    Vincent Y. F. Tan and Alan S. Willsky
    IFAC World Congress 2011, Milan, Italy

  189. Rank Minimization over Finite Fields [Slides]
    Vincent Y. F. Tan, Laura Balzano and Stark C. Draper
    ISIT 2011, St Petersburg, Russia

  190. Structure Learning of Ising Models on Random Graphs (VYFT Invited) [Slides]
    Animashree Anandkumar, Vincent Y. F. Tan, and Alan S. Willsky
    UCSD ITA 2011, La Jolla, CA

  191. High-Dimensional Robust Structure Learning of Ising Models on Sparse Random Graphs
    Animashree Anandkumar, Vincent Y. F. Tan and Alan S. Willsky
    NIPS Workshop on Robust Statistical Learning 2010, Vancouver, BC

  192. Consistent and Efficient Reconstruction of Latent Tree Models [Full version] [Slides] [Webpage]
    Myung Jin Choi, Vincent Y. F. Tan, Animashree Anandkumar and Alan S. Willsky
    Allerton Conference 2010, Monticello, IL

  193. Scaling Laws for Learning High-Dimensional Markov Forest Distributions [Full version] [Slides]
    Vincent Y. F. Tan, Animashree Anandkumar and Alan S. Willsky
    Allerton Conference 2010, Monticello, IL

  194. Necessary and Sufficient Conditions for High-Dimensional Salient Feature Subset Recovery [Proofs] [Slides]
    Vincent Y. F. Tan, Matt Johnson and Alan S. Willsky
    ISIT 2010, Austin TX

  195. Error Exponents for Composite Hypothesis Testing of Markov Forest Distributions [Proofs] [Slides]
    Vincent Y. F. Tan, Animashree Anandkumar and Alan S. Willsky
    ISIT 2010, Austin TX

  196. Inference of Phylogenies Under Covariation and Selection
    J. Carlson, N. Pfeifer, T. H. Lin, V. Y. F. Tan, E. Lantz and D. Heckerman
    Poster in 17th International Conference on HIV Dynamics and Evolution (2010)

  197. How do the Structure and Parameters of Gaussian Tree Models Affect Structure Learning [Slides]
    Vincent Y. F. Tan, Animashree Anandkumar and Alan S. Willsky
    Allerton Conference 2009, Monticello, IL

  198. A Large-Deviations Analysis for the Maximum-Likelihood Learning of Tree Structures [Slides]
    Vincent Y. F. Tan, Animashree Anandkumar, Lang Tong and Alan S. Willsky
    ISIT 2009, Seoul, Korea

  199. Estimating Signals with Finite Rate of Innovation from Noisy Samples: A Stochastic Algorithm (VKG Invited)
    Vincent Y. F. Tan and Vivek K Goyal
    SAMPTA 2009, Marseille, France

  200. Automatic Relevance Determination in Nonnegative Matrix Factorization [Code] [Slides]
    Vincent Y. F. Tan and Cédric Févotte
    SPARS 2009, St Malo, France

  201. Immune System Modeling using Infer.NET [Poster]
    Vincent Y. F. Tan, John Winn, Angela Simpson and Adnan Custovic
    IEEE Conference on e-Science 2008, Indianapolis, IN

  202. Learning Max-Weight Discriminative Forests [Slides]
    Vincent Y. F. Tan, John W. Fisher III and Alan S. Willsky
    ICASSP 2008, Las Vegas, NV

  203. Learning Max-Weight Discriminative Forests (JWF Invited)
    Vincent Y. F. Tan, John W. Fisher III and Alan S. Willsky
    UCSD ITA 2008, La Jolla, CA

  204. Learning Graphical Models for Hypothesis Testing [Poster]
    Sujay Sanghavi, Vincent Y. F. Tan and Alan S. Willsky
    Statistical Signal Processing (SSP) Workshop, 2007, Madison WI

  205. Privacy-Preserving Sharing of Horizontally-Distributed Private Data for Constructing Accurate Classifiers [Slides]
    Vincent Y. F. Tan and See-Kiong Ng
    PinKDD 2007: ACM SIGKDD Workshop on Privacy, Security and Trust in KDD, San Jose, CA
    Also available at Lecture Notes in Computer Science, 2008, Volume 4890, Privacy, Security and Trust in KDD

  206. Generic Probability Density Function Reconstruction for Randomization in Privacy-Preserving Data Mining [Slides]
    Vincent Y. F. Tan and See-Kiong Ng
    MLDM 2007, Leipzig, Germany

  207. A Study of the Effect of Source Sparsity for Various Transforms on Blind Audio Source Separation Performance
    Vincent Y. F. Tan and Cédric Févotte
    SPARS 2005, Rennes, France