Yang, Yun

32 publications

ICML 2025 A Likelihood Based Approach to Distribution Regression Using Conditional Deep Generative Models Shivam Kumar, Yun Yang, Lizhen Lin

CPAL 2025 Asymptotic Behavior of the Coordinate Ascent Variational Inference in Singular Models Sean C Plummer, Anirban Bhattacharya, Debdeep Pati, Yun Yang

ICLR 2025 Conditional Diffusion Models Are Minimax-Optimal and Manifold-Adaptive for Conditional Distribution Estimation Rong Tang, Lizhen Lin, Yun Yang

NeurIPS 2025 Sim-LLM: Optimizing LLM Inference at the Edge Through Inter-Task KV Reuse Ruikun Luo, Changwei Gu, Qiang He, Feifei Chen, Song Wu, Hai Jin, Yun Yang

ICML 2025 Testing Conditional Mean Independence Using Generative Neural Networks Yi Zhang, Linjun Huang, Yun Yang, Xiaofeng Shao

AISTATS 2024 Adaptivity of Diffusion Models to Manifold Structures Rong Tang, Yun Yang

AISTATS 2024 Minimizing Convex Functionals over Space of Probability Measures via KL Divergence Gradient Flow Rentian Yao, Linjun Huang, Yun Yang

JMLR 2024 On the Computational Complexity of Metropolis-Adjusted Langevin Algorithms for Bayesian Posterior Sampling Rong Tang, Yun Yang

ICLR 2024 Statistically Optimal $k$-Means Clustering via Nonnegative Low-Rank Semidefinite Programming Yubo Zhuang, Xiaohui Chen, Yun Yang, Richard Y. Zhang

JMLR 2024 Wasserstein Proximal Coordinate Gradient Algorithms Rentian Yao, Xiaohui Chen, Yun Yang

ICML 2023 A Gromov-Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening Yifan Chen, Rentian Yao, Yun Yang, Jie Chen

TMLR 2023 Calibrate and Debias Layer-Wise Sampling for Graph Convolutional Networks Yifan Chen, Tianning Xu, Dilek Hakkani-Tur, Di Jin, Yun Yang, Ruoqing Zhu

JMLR 2023 Gaussian Processes with Errors in Variables: Theory and Computation Shuang Zhou, Debdeep Pati, Tianying Wang, Yun Yang, Raymond J. Carroll

CVPR 2023 Global and Local Mixture Consistency Cumulative Learning for Long-Tailed Visual Recognitions Fei Du, Peng Yang, Qi Jia, Fengtao Nan, Xiaoting Chen, Yun Yang

ICML 2023 Likelihood Adjusted Semidefinite Programs for Clustering Heterogeneous Data Yubo Zhuang, Xiaohui Chen, Yun Yang

AISTATS 2023 Minimax Nonparametric Two-Sample Test Under Adversarial Losses Rong Tang, Yun Yang

AAAI 2023 Robust Temporal Smoothness in Multi-Task Learning Menghui Zhou, Yu Zhang, Yun Yang, Tong Liu, Po Yang

AISTATS 2022 Sketch-and-Lift: Scalable Subsampled Semidefinite Program for K-Means Clustering Yubo Zhuang, Xiaohui Chen, Yun Yang

AISTATS 2022 Structured Variational Inference in Bayesian State-Space Models Honggang Wang, Anirban Bhattacharya, Debdeep Pati, Yun Yang

COLT 2022 Mean-Field Nonparametric Estimation of Interacting Particle Systems Rentian Yao, Xiaohui Chen, Yun Yang

NeurIPS 2022 Wasserstein $k$-Means for Clustering Probability Distributions Yubo Zhuang, Xiaohui Chen, Yun Yang

AISTATS 2021 Accumulations of Projections—A Unified Framework for Random Sketches in Kernel Ridge Regression Yifan Chen, Yun Yang

AISTATS 2021 Fast Statistical Leverage Score Approximation in Kernel Ridge Regression Yifan Chen, Yun Yang

ICCV 2021 AdvDrop: Adversarial Attack to DNNs by Dropping Information Ranjie Duan, Yuefeng Chen, Dantong Niu, Yun Yang, A. K. Qin, Yuan He

CVPR 2021 Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink Ranjie Duan, Xiaofeng Mao, A. K. Qin, Yuefeng Chen, Shaokai Ye, Yuan He, Yun Yang

CVPRW 2021 Multi-Camera Vehicle Tracking System Based on Spatial-Temporal Filtering Pengfei Ren, Kang Lu, Yu Yang, Yun Yang, Guangze Sun, Wei Wang, Gang Wang, Junliang Cao, Zhifeng Zhao, Wei Liu

COLT 2021 On Empirical Bayes Variational Autoencoder: An Excess Risk Bound Rong Tang, Yun Yang

NeurIPS 2021 Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method Yifan Chen, Qi Zeng, Heng Ji, Yun Yang

COLT 2020 Non-Asymptotic Analysis for Nonparametric Testing Yun Yang, Zuofeng Shang, Guang Cheng

IJCAI 2019 Discovering Regularities from Traditional Chinese Medicine Prescriptions via Bipartite Embedding Model Chunyang Ruan, Jiangang Ma, Ye Wang, Yanchun Zhang, Yun Yang

CVPRW 2019 Stacked Multi-Target Network for Robust Facial Landmark Localisation Yun Yang, Bing Yu, Xiaodong Li, Bailan Feng

AISTATS 2018 On Statistical Optimality of Variational Bayes Debdeep Pati, Anirban Bhattacharya, Yun Yang