Chen, Yudong

58 publications

NeurIPS 2025 Faster Fixed-Point Methods for Multichain MDPs Matthew Zurek, Yudong Chen

ICLR 2025 Functional Homotopy: Smoothing Discrete Optimization via Continuous Parameters for LLM Jailbreak Attacks Zi Wang, Divyam Anshumaan, Ashish Hooda, Yudong Chen, Somesh Jha

ICML 2025 LoRA-One: One-Step Full Gradient Could Suffice for Fine-Tuning Large Language Models, Provably and Efficiently Yuanhe Zhang, Fanghui Liu, Yudong Chen

ICLR 2025 Medium-Difficulty Samples Constitute Smoothed Decision Boundary for Knowledge Distillation on Pruned Datasets Yudong Chen, Xuwei Xu, Frank de Hoog, Jiajun Liu, Sen Wang

ICLRW 2025 Navigating Solution Spaces in Large Language Models Through Controlled Embedding Exploration Qinglin Zhu, Runcong Zhao, Hanqi Yan, Yulan He, Yudong Chen, Lin Gui

NeurIPS 2025 Optimal Single-Policy Sample Complexity and Transient Coverage for Average-Reward Offline RL Matthew Zurek, Guy Zamir, Yudong Chen

ICML 2025 RePaViT: Scalable Vision Transformer Acceleration via Structural Reparameterization on Feedforward Network Layers Xuwei Xu, Yang Li, Yudong Chen, Jiajun Liu, Sen Wang

ICML 2025 Soft Reasoning: Navigating Solution Spaces in Large Language Models Through Controlled Embedding Exploration Qinglin Zhu, Runcong Zhao, Hanqi Yan, Yulan He, Yudong Chen, Lin Gui

COLT 2025 Span-Agnostic Optimal Sample Complexity and Oracle Inequalities for Average-Reward RL Matthew Zurek, Yudong Chen

ICML 2025 Stable Offline Value Function Learning with Bisimulation-Based Representations Brahma S Pavse, Yudong Chen, Qiaomin Xie, Josiah P. Hanna

NeurIPS 2025 The $\varphi$ Curve: The Shape of Generalization Through the Lens of Norm-Based Capacity Control Yichen Wang, Yudong Chen, Lorenzo Rosasco, Fanghui Liu

ALT 2025 The Plug-in Approach for Average-Reward and Discounted MDPs: Optimal Sample Complexity Analysis Matthew Zurek, Yudong Chen

AISTATS 2025 Two-Timescale Linear Stochastic Approximation: Constant Stepsizes Go a Long Way Jeongyeol Kwon, Luke Dotson, Yudong Chen, Qiaomin Xie

AAAI 2024 Effectiveness of Constant Stepsize in Markovian LSA and Statistical Inference Dongyan Lucy Huo, Yudong Chen, Qiaomin Xie

WACV 2024 GTP-ViT: Efficient Vision Transformers via Graph-Based Token Propagation Xuwei Xu, Sen Wang, Yudong Chen, Yanping Zheng, Zhewei Wei, Jiajun Liu

COLT 2024 Gap-Free Clustering: Sensitivity and Robustness of SDP Matthew Zurek, Yudong Chen

ICML 2024 Learning to Stabilize Online Reinforcement Learning in Unbounded State Spaces Brahma S Pavse, Matthew Zurek, Yudong Chen, Qiaomin Xie, Josiah P. Hanna

ICML 2024 Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value Young Wu, Jeremy Mcmahan, Yiding Chen, Yudong Chen, Jerry Zhu, Qiaomin Xie

ICLR 2024 On the Scalability and Memory Efficiency of Semidefinite Programs for Lipschitz Constant Estimation of Neural Networks Zi Wang, Bin Hu, Aaron J Havens, Alexandre Araujo, Yang Zheng, Yudong Chen, Somesh Jha

NeurIPS 2024 Span-Based Optimal Sample Complexity for Weakly Communicating and General Average Reward MDPs Matthew Zurek, Yudong Chen

AISTATS 2024 Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements Emmanouil Vasileios Vlatakis-Gkaragkounis, Angeliki Giannou, Yudong Chen, Qiaomin Xie

NeurIPS 2024 The Collusion of Memory and Nonlinearity in Stochastic Approximation with Constant Stepsize Dongyan Lucy Huo, Yixuan Zhang, Yudong Chen, Qiaomin Xie

NeurIPS 2024 The Limits of Transfer Reinforcement Learning with Latent Low-Rank Structure Tyler Sam, Yudong Chen, Christina Lee Yu

NeurIPS 2023 Restless Bandits with Average Reward: Breaking the Uniform Global Attractor Assumption Yige Hong, Qiaomin Xie, Yudong Chen, Weina Wang

NeurIPS 2022 Improved Feature Distillation via Projector Ensemble Yudong Chen, Sen Wang, Jiajun Liu, Xuwei Xu, Frank de Hoog, Zi Huang

NeurIPSW 2022 Matrix Estimation for Offline Evaluation in Reinforcement Learning with Low-Rank Structure Xumei Xi, Christina Yu, Yudong Chen

NeurIPS 2021 Curriculum Disentangled Recommendation with Noisy Multi-Feedback Hong Chen, Yudong Chen, Xin Wang, Ruobing Xie, Rui Wang, Feng Xia, Wenwu Zhu

NeurIPS 2021 Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning Yingjie Fei, Zhuoran Yang, Yudong Chen, Zhaoran Wang

NeurIPS 2021 Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery Lijun Ding, Liwei Jiang, Yudong Chen, Qing Qu, Zhihui Zhu

COLT 2020 Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium Qiaomin Xie, Yudong Chen, Zhaoran Wang, Zhuoran Yang

AAAI 2020 Random Fourier Features via Fast Surrogate Leverage Weighted Sampling Fanghui Liu, Xiaolin Huang, Yudong Chen, Jie Yang, Johan A. K. Suykens

NeurIPS 2020 Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret Yingjie Fei, Zhuoran Yang, Yudong Chen, Zhaoran Wang, Qiaomin Xie

COLT 2019 Achieving the Bayes Error Rate in Stochastic Block Model by SDP, Robustly Yingjie Fei, Yudong Chen

ICML 2019 Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning Dong Yin, Yudong Chen, Ramchandran Kannan, Peter Bartlett

NeurIPS 2019 Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery Jicong Fan, Lijun Ding, Yudong Chen, Madeleine Udell

NeurIPS 2019 Global Convergence of Least Squares EM for Demixing Two Log-Concave Densities Wei Qian, Yuqian Zhang, Yudong Chen

COLT 2019 Global Convergence of the EM Algorithm for Mixtures of Two Component Linear Regression Jeongyeol Kwon, Wei Qian, Constantine Caramanis, Yudong Chen, Damek Davis

ICML 2018 Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates Dong Yin, Yudong Chen, Ramchandran Kannan, Peter Bartlett

COLT 2018 Hidden Integrality of SDP Relaxations for Sub-Gaussian Mixture Models Yingjie Fei, Yudong Chen

JMLR 2017 Clustering from General Pairwise Observations with Applications to Time-Varying Graphs Shiau Hong Lim, Yudong Chen, Huan Xu

NeurIPS 2016 Fast Algorithms for Robust PCA via Gradient Descent Xinyang Yi, Dohyung Park, Yudong Chen, Constantine Caramanis

JMLR 2016 Statistical-Computational Tradeoffs in Planted Problems and Submatrix Localization with a Growing Number of Clusters and Submatrices Yudong Chen, Jiaming Xu

CVPR 2016 Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin, Shuicheng Yan

ICML 2015 A Convex Optimization Framework for Bi-Clustering Shiau Hong Lim, Yudong Chen, Huan Xu

JMLR 2015 Completing Any Low-Rank Matrix, Provably Yudong Chen, Srinadh Bhojanapalli, Sujay Sanghavi, Rachel Ward

JMLR 2015 Iterative and Active Graph Clustering Using Trace Norm Minimization Without Cluster Size Constraints Nir Ailon, Yudong Chen, Huan Xu

COLT 2014 A Convex Formulation for Mixed Regression with Two Components: Minimax Optimal Rates Yudong Chen, Xinyang Yi, Constantine Caramanis

JMLR 2014 Clustering Partially Observed Graphs via Convex Optimization Yudong Chen, Ali Jalali, Sujay Sanghavi, Huan Xu

NeurIPS 2014 Clustering from Labels and Time-Varying Graphs Shiau Hong Lim, Yudong Chen, Huan Xu

ICML 2014 Coherent Matrix Completion Yudong Chen, Srinadh Bhojanapalli, Sujay Sanghavi, Rachel Ward

ICML 2014 Statistical-Computational Phase Transitions in Planted Models: The High-Dimensional Setting Yudong Chen, Jiaming Xu

ICML 2014 Weighted Graph Clustering with Non-Uniform Uncertainties Yudong Chen, Shiau Hong Lim, Huan Xu

ICML 2013 Breaking the Small Cluster Barrier of Graph Clustering Nir Ailon, Yudong Chen, Huan Xu

ICML 2013 Noisy and Missing Data Regression: Distribution-Oblivious Support Recovery Yudong Chen, Constantine Caramanis

ICML 2013 Robust Sparse Regression Under Adversarial Corruption Yudong Chen, Constantine Caramanis, Shie Mannor

NeurIPS 2012 Clustering Sparse Graphs Yudong Chen, Sujay Sanghavi, Huan Xu

ICML 2011 Clustering Partially Observed Graphs via Convex Optimization Ali Jalali, Yudong Chen, Sujay Sanghavi, Huan Xu

ICML 2011 Robust Matrix Completion and Corrupted Columns Yudong Chen, Huan Xu, Constantine Caramanis, Sujay Sanghavi