Tan, Vincent

21 publications

ICML 2025 BanditSpec: Adaptive Speculative Decoding via Bandit Algorithms Yunlong Hou, Fengzhuo Zhang, Cunxiao Du, Xuan Zhang, Jiachun Pan, Tianyu Pang, Chao Du, Vincent Tan, Zhuoran Yang

ICML 2025 LightningDrag: Lightning Fast and Accurate Drag-Based Image Editing Emerging from Videos Yujun Shi, Jun Hao Liew, Hanshu Yan, Vincent Tan, Jiashi Feng

ICML 2025 Log-Sum-Exponential Estimator for Off-Policy Evaluation and Learning Armin Behnamnia, Gholamali Aminian, Alireza Aghaei, Chengchun Shi, Vincent Tan, Hamid R. Rabiee

ICLR 2024 AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models Jiachun Pan, Jun Hao Liew, Vincent Tan, Jiashi Feng, Hanshu Yan

ICLR 2024 Fixed-Budget Differentially Private Best Arm Identification Zhirui Chen, P. N. Karthik, Yeow Meng Chee, Vincent Tan

ICLR 2024 Provable Benefits of Multi-Task RL Under Non-Markovian Decision Making Processes Ruiquan Huang, Yuan Cheng, Jing Yang, Vincent Tan, Yingbin Liang

TMLR 2023 Achieving the Pareto Frontier of Regret Minimization and Best Arm Identification in Multi-Armed Bandits Zixin Zhong, Wang Chi Cheung, Vincent Tan

NeurIPS 2023 Learning Regularized Monotone Graphon Mean-Field Games Fengzhuo Zhang, Vincent Tan, Zhaoran Wang, Zhuoran Yang

ICLR 2023 Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning Yujun Shi, Jian Liang, Wenqing Zhang, Vincent Tan, Song Bai

ICLR 2022 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, Vincent Tan

NeurIPS 2022 Minimax Optimal Fixed-Budget Best Arm Identification in Linear Bandits Junwen Yang, Vincent Tan

NeurIPS 2022 Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL Fengzhuo Zhang, Boyi Liu, Kaixin Wang, Vincent Tan, Zhuoran Yang, Zhaoran Wang

NeurIPS 2022 Sharpness-Aware Training for Free Jiawei Du, Daquan Zhou, Jiashi Feng, Vincent Tan, Joey Tianyi Zhou

ICML 2021 CIFS: Improving Adversarial Robustness of CNNs via Channel-Wise Importance-Based Feature Selection Hanshu Yan, Jingfeng Zhang, Gang Niu, Jiashi Feng, Vincent Tan, Masashi Sugiyama

ICML 2021 Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions Zixin Zhong, Wang Chi Cheung, Vincent Tan

NeurIPS 2021 Robustifying Algorithms of Learning Latent Trees with Vector Variables Fengzhuo Zhang, Vincent Tan

ICML 2021 SGA: A Robust Algorithm for Partial Recovery of Tree-Structured Graphical Models with Noisy Samples Anshoo Tandon, Aldric Han, Vincent Tan

ICML 2020 Best Arm Identification for Cascading Bandits in the Fixed Confidence Setting Zixin Zhong, Wang Chi Cheung, Vincent Tan

ICML 2020 Thompson Sampling Algorithms for Mean-Variance Bandits Qiuyu Zhu, Vincent Tan

AISTATS 2019 A Thompson Sampling Algorithm for Cascading Bandits Wang Chi Cheung, Vincent Tan, Zixin Zhong

NeurIPS 2011 High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions Animashree Anandkumar, Vincent Tan, Alan S. Willsky