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ORCIDYudong Chen 0001
Person information
- affiliation: University of Wisconsin-Madison, Madison, WI, USA
- affiliation: Cornell University, School of Operations Research and Information Engineering, Ithaca, NY, USA
- affiliation: University of California, Berkeley, Department of Electrical Engineering and Computer Sciences, CA, USA
- affiliation: University of Texas at Austin, Department of Electrical and Computer Engineering, TX, USA
Other persons with the same name
- Yudong Chen (aka: Yu-Dong Chen) — disambiguation page
- Yudong Chen 0002
![[0000-0002-5672-5313]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-5672-5313")
— Shenzhen University, College of Computer Science and Software Engineering, Shenzhen, China - Yudong Chen 0003 — Tsinghua University, Beijing, China (and 1 more)
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2020 – today
- 2024
[j32]Jeremy McMahan, Young Wu, Yudong Chen, Jerry Zhu, Qiaomin Xie:
Inception: Efficiently Computable Misinformation Attacks on Markov Games. RLJ 5: 2345-2358 (2024)- [j31]Yudong Chen, Dogyoon Song, Xumei Xi, Yuqian Zhang:
Local Minima Structures in Gaussian Mixture Models. IEEE Trans. Inf. Theory 70(6): 4218-4257 (2024) - [j30]Jeongyeol Kwon, Wei Qian, Yudong Chen, Constantine Caramanis, Damek Davis, Nhat Ho:
Global Optimality of the EM Algorithm for Mixtures of Two-Component Linear Regressions. IEEE Trans. Inf. Theory 70(9): 6519-6546 (2024) - [c42]Dongyan Lucy Huo, Yudong Chen, Qiaomin Xie:
Effectiveness of Constant Stepsize in Markovian LSA and Statistical Inference. AAAI 2024: 20447-20455 - [c41]Emmanouil-Vasileios Vlatakis-Gkaragkounis, Angeliki Giannou, Yudong Chen, Qiaomin Xie:
Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements. AISTATS 2024: 4123-4131 - [c40]Brahma S. Pavse, Matthew Zurek, Yudong Chen, Qiaomin Xie, Josiah P. Hanna:
Learning to Stabilize Online Reinforcement Learning in Unbounded State Spaces. ICML 2024 - [c39]Young Wu, Jeremy McMahan, Yiding Chen, Yudong Chen, Jerry Zhu, Qiaomin Xie:
Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value. ICML 2024 - [c38]Yixuan Zhang, Dongyan Lucy Huo, Yudong Chen, Qiaomin Xie:
Prelimit Coupling and Steady-State Convergence of Constant-stepsize Nonsmooth Contractive SA. SIGMETRICS/Performance (Abstracts) 2024: 35-36 - [i60]Yige Hong, Qiaomin Xie, Yudong Chen, Weina Wang:
Unichain and Aperiodicity are Sufficient for Asymptotic Optimality of Average-Reward Restless Bandits. CoRR abs/2402.05689 (2024) - [i59]Xumei Xi, Christina Lee Yu, Yudong Chen:
Entry-Specific Bounds for Low-Rank Matrix Completion under Highly Non-Uniform Sampling. CoRR abs/2403.00184 (2024) - [i58]Yixuan Zhang, Dongyan Huo, Yudong Chen, Qiaomin Xie:
Prelimit Coupling and Steady-State Convergence of Constant-stepsize Nonsmooth Contractive SA. CoRR abs/2404.06023 (2024) - [i57]Dongyan Huo, Yixuan Zhang, Yudong Chen, Qiaomin Xie:
The Collusion of Memory and Nonlinearity in Stochastic Approximation With Constant Stepsize. CoRR abs/2405.16732 (2024) - [i56]Yige Hong, Qiaomin Xie, Yudong Chen, Weina Wang:
When is exponential asymptotic optimality achievable in average-reward restless bandits? CoRR abs/2405.17882 (2024) - [i55]Jeremy McMahan, Young Wu, Yudong Chen, Xiaojin Zhu, Qiaomin Xie:
Inception: Efficiently Computable Misinformation Attacks on Markov Games. CoRR abs/2406.17114 (2024) - [i54]Yudong Chen, Xumei Xi, Christina Lee Yu:
Entry-Specific Matrix Estimation under Arbitrary Sampling Patterns through the Lens of Network Flows. CoRR abs/2409.03980 (2024) - [i53]Brahma S. Pavse, Yudong Chen, Qiaomin Xie, Josiah P. Hanna:
Stable Offline Value Function Learning with Bisimulation-based Representations. CoRR abs/2410.01643 (2024) - [i52]Jeongyeol Kwon, Luke Dotson, Yudong Chen, Qiaomin Xie:
Two-Timescale Linear Stochastic Approximation: Constant Stepsizes Go a Long Way. CoRR abs/2410.13067 (2024) - [i51]Tyler Sam, Yudong Chen, Christina Lee Yu:
The Limits of Transfer Reinforcement Learning with Latent Low-rank Structure. CoRR abs/2410.21601 (2024) - 2023
- [j29]Qiaomin Xie, Yudong Chen, Zhaoran Wang, Zhuoran Yang:
Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium. Math. Oper. Res. 48(1): 433-462 (2023) - [j28]Tyler Sam, Yudong Chen, Christina Lee Yu:
Overcoming the Long Horizon Barrier for Sample-Efficient Reinforcement Learning with Latent Low-Rank Structure. Proc. ACM Meas. Anal. Comput. Syst. 7(2): 29:1-29:60 (2023) - [j27]Tyler Sam, Yudong Chen, Christina Lee Yu:
Overcoming the Long Horizon Barrier for Sample-Efficient Reinforcement Learning with Latent Low-Rank Structure. SIGMETRICS Perform. Evaluation Rev. 50(4): 41-43 (2023) - [j26]Liwei Jiang, Yudong Chen, Lijun Ding:
Algorithmic Regularization in Model-Free Overparametrized Asymmetric Matrix Factorization. SIAM J. Math. Data Sci. 5(3): 723-744 (2023) - [c37]Xumei Xi, Christina Lee Yu, Yudong Chen:
Entry-Specific Bounds for Low-Rank Matrix Completion under Highly Non-Uniform Sampling. ISIT 2023: 2625-2630 - [c36]Yige Hong, Qiaomin Xie, Yudong Chen, Weina Wang:
Restless Bandits with Average Reward: Breaking the Uniform Global Attractor Assumption. NeurIPS 2023 - [c35]Dongyan Lucy Huo, Yudong Chen, Qiaomin Xie:
Bias and Extrapolation in Markovian Linear Stochastic Approximation with Constant Stepsizes. SIGMETRICS (Abstracts) 2023: 81-82 - [c34]Tyler Sam, Yudong Chen, Christina Lee Yu:
Overcoming the Long Horizon Barrier for Sample-Efficient Reinforcement Learning with Latent Low-Rank Structure. SIGMETRICS (Abstracts) 2023: 85-86 - [i50]Xumei Xi, Christina Lee Yu, Yudong Chen:
Matrix Estimation for Offline Reinforcement Learning with Low-Rank Structure. CoRR abs/2305.15621 (2023) - [i49]Yige Hong, Qiaomin Xie, Yudong Chen, Weina Wang:
Restless Bandits with Average Reward: Breaking the Uniform Global Attractor Assumption. CoRR abs/2306.00196 (2023) - [i48]Brahma S. Pavse, Yudong Chen, Qiaomin Xie, Josiah P. Hanna:
Tackling Unbounded State Spaces in Continuing Task Reinforcement Learning. CoRR abs/2306.01896 (2023) - [i47]Emmanouil V. Vlatakis-Gkaragkounis, Angeliki Giannou, Yudong Chen, Qiaomin Xie:
Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements. CoRR abs/2306.16502 (2023) - [i46]Jeremy McMahan, Young Wu, Yudong Chen, Xiaojin Zhu, Qiaomin Xie:
VISER: A Tractable Solution Concept for Games with Information Asymmetry. CoRR abs/2307.09652 (2023) - [i45]Young Wu, Jeremy McMahan, Yiding Chen, Yudong Chen, Xiaojin Zhu, Qiaomin Xie:
Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value. CoRR abs/2311.00582 (2023) - [i44]Dongyan Huo, Yudong Chen, Qiaomin Xie:
Effectiveness of Constant Stepsize in Markovian LSA and Statistical Inference. CoRR abs/2312.10894 (2023) - 2022
- [j25]Yingjie Fei, Yudong Chen:
Hidden Integrality and Semirandom Robustness of SDP Relaxation for Sub-Gaussian Mixture Model. Math. Oper. Res. 47(3): 2464-2493 (2022) - [j24]Fanghui Liu, Xiaolin Huang, Yudong Chen, Johan A. K. Suykens:
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 7128-7148 (2022) - [j23]Fanghui Liu, Xiaolin Huang, Yudong Chen, Johan A. K. Suykens:
Towards a Unified Quadrature Framework for Large-Scale Kernel Machines. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7975-7988 (2022) - [j22]Wei Qian, Yuqian Zhang, Yudong Chen:
Structures of Spurious Local Minima in k-Means. IEEE Trans. Inf. Theory 68(1): 395-422 (2022) - [i43]Liwei Jiang, Yudong Chen, Lijun Ding:
Algorithmic Regularization in Model-free Overparametrized Asymmetric Matrix Factorization. CoRR abs/2203.02839 (2022) - [i42]Tyler Sam, Yudong Chen, Christina Lee Yu:
Overcoming the Long Horizon Barrier for Sample-Efficient Reinforcement Learning with Latent Low-Rank Structure. CoRR abs/2206.03569 (2022) - [i41]Dongyan Huo, Yudong Chen, Qiaomin Xie:
Bias and Extrapolation in Markovian Linear Stochastic Approximation with Constant Stepsizes. CoRR abs/2210.00953 (2022) - 2021
- [j21]Vasileios Charisopoulos, Yudong Chen, Damek Davis, Mateo Díaz, Lijun Ding, Dmitriy Drusvyatskiy:
Low-Rank Matrix Recovery with Composite Optimization: Good Conditioning and Rapid Convergence. Found. Comput. Math. 21(6): 1505-1593 (2021) - [c33]Yingjie Fei, Zhuoran Yang, Yudong Chen, Zhaoran Wang:
Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning. NeurIPS 2021: 20436-20446 - [c32]Lijun Ding, Liwei Jiang, Yudong Chen, Qing Qu, Zhihui Zhu:
Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery. NeurIPS 2021: 26767-26778 - [i40]Lijun Ding, Liwei Jiang, Yudong Chen, Qing Qu, Zhihui Zhu:
Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery. CoRR abs/2109.11154 (2021) - [i39]Yingjie Fei, Zhuoran Yang, Yudong Chen, Zhaoran Wang:
Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning. CoRR abs/2111.03947 (2021) - 2020
- [j20]Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin, Shuicheng Yan:
Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm. IEEE Trans. Pattern Anal. Mach. Intell. 42(4): 925-938 (2020) - [j19]Yingjie Fei, Yudong Chen:
Achieving the Bayes Error Rate in Synchronization and Block Models by SDP, Robustly. IEEE Trans. Inf. Theory 66(6): 3929-3953 (2020) - [j18]Lijun Ding, Yudong Chen:
Leave-One-Out Approach for Matrix Completion: Primal and Dual Analysis. IEEE Trans. Inf. Theory 66(11): 7274-7301 (2020) - [c31]Fanghui Liu, Xiaolin Huang, Yudong Chen, Jie Yang, Johan A. K. Suykens:
Random Fourier Features via Fast Surrogate Leverage Weighted Sampling. AAAI 2020: 4844-4851 - [c30]Qiaomin Xie, Yudong Chen, Zhaoran Wang, Zhuoran Yang:
Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium. COLT 2020: 3674-3682 - [c29]Yingjie Fei, Zhuoran Yang, Yudong Chen, Zhaoran Wang, Qiaomin Xie:
Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret. NeurIPS 2020 - [i38]Qiaomin Xie, Yudong Chen, Zhaoran Wang, Zhuoran Yang:
Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium. CoRR abs/2002.07066 (2020) - [i37]Fanghui Liu, Xiaolin Huang, Yudong Chen, Johan A. K. Suykens:
Random Features for Kernel Approximation: A Survey in Algorithms, Theory, and Beyond. CoRR abs/2004.11154 (2020) - [i36]Yingjie Fei, Zhuoran Yang, Yudong Chen, Zhaoran Wang, Qiaomin Xie:
Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret. CoRR abs/2006.13827 (2020) - [i35]Lijun Ding, Yuqian Zhang, Yudong Chen:
Low-rank matrix recovery with non-quadratic loss: projected gradient method and regularity projection oracle. CoRR abs/2008.13777 (2020) - [i34]Yudong Chen, Xumei Xi:
Likelihood Landscape and Local Minima Structures of Gaussian Mixture Models. CoRR abs/2009.13040 (2020) - [i33]Fanghui Liu, Xiaolin Huang, Yudong Chen, Johan A. K. Suykens:
Towards a Unified Quadrature Framework for Large-Scale Kernel Machines. CoRR abs/2011.01668 (2020)
2010 – 2019
- 2019
- [j17]Yingjie Fei, Yudong Chen:
Exponential Error Rates of SDP for Block Models: Beyond Grothendieck's Inequality. IEEE Trans. Inf. Theory 65(1): 551-571 (2019) - [j16]Dong Yin, Ramtin Pedarsani, Yudong Chen, Kannan Ramchandran:
Learning Mixtures of Sparse Linear Regressions Using Sparse Graph Codes. IEEE Trans. Inf. Theory 65(3): 1430-1451 (2019) - [c28]Yingjie Fei, Yudong Chen:
Achieving the Bayes Error Rate in Stochastic Block Model by SDP, Robustly. COLT 2019: 1235-1269 - [c27]Jeongyeol Kwon, Wei Qian, Constantine Caramanis, Yudong Chen, Damek Davis:
Global Convergence of the EM Algorithm for Mixtures of Two Component Linear Regression. COLT 2019: 2055-2110 - [c26]Dong Yin, Yudong Chen, Kannan Ramchandran, Peter L. Bartlett:
Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning. ICML 2019: 7074-7084 - [c25]Jicong Fan, Lijun Ding, Yudong Chen, Madeleine Udell:
Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery. NeurIPS 2019: 5105-5115 - [i32]Yingjie Fei, Yudong Chen:
Achieving the Bayes Error Rate in Synchronization and Block Models by SDP, Robustly. CoRR abs/1904.09635 (2019) - [i31]Vasileios Charisopoulos, Yudong Chen, Damek Davis, Mateo Díaz, Lijun Ding, Dmitriy Drusvyatskiy:
Low-rank matrix recovery with composite optimization: good conditioning and rapid convergence. CoRR abs/1904.10020 (2019) - [i30]Xin Qian, Yudong Chen, Andreea Minca:
Clustering Degree-Corrected Stochastic Block Model with Outliers. CoRR abs/1906.03305 (2019) - [i29]Jicong Fan, Lijun Ding, Yudong Chen, Madeleine Udell:
Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery. CoRR abs/1911.05774 (2019) - [i28]Fanghui Liu, Xiaolin Huang, Yudong Chen, Jie Yang, Johan A. K. Suykens:
Random Fourier Features via Fast Surrogate Leverage Weighted Sampling. CoRR abs/1911.09158 (2019) - 2018
- [j15]Yudong Chen, Yuejie Chi:
Harnessing Structures in Big Data via Guaranteed Low-Rank Matrix Estimation: Recent Theory and Fast Algorithms via Convex and Nonconvex Optimization. IEEE Signal Process. Mag. 35(4): 14-31 (2018) - [j14]Yudong Chen, Xinyang Yi, Constantine Caramanis:
Convex and Nonconvex Formulations for Mixed Regression With Two Components: Minimax Optimal Rates. IEEE Trans. Inf. Theory 64(3): 1738-1766 (2018) - [c24]Yingjie Fei, Yudong Chen:
Hidden Integrality of SDP Relaxations for Sub-Gaussian Mixture Models. COLT 2018: 1931-1965 - [c23]Dong Yin, Yudong Chen, Kannan Ramchandran, Peter L. Bartlett:
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates. ICML 2018: 5636-5645 - [c22]Yudong Chen, Lili Su, Jiaming Xu:
Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent. SIGMETRICS (Abstracts) 2018: 96 - [i27]Yudong Chen, Yuejie Chi:
Harnessing Structures in Big Data via Guaranteed Low-Rank Matrix Estimation. CoRR abs/1802.08397 (2018) - [i26]Dong Yin, Yudong Chen, Kannan Ramchandran, Peter L. Bartlett:
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates. CoRR abs/1803.01498 (2018) - [i25]Yingjie Fei, Yudong Chen:
Hidden Integrality of SDP Relaxation for Sub-Gaussian Mixture Models. CoRR abs/1803.06510 (2018) - [i24]Lijun Ding, Yudong Chen:
The Leave-one-out Approach for Matrix Completion: Primal and Dual Analysis. CoRR abs/1803.07554 (2018) - [i23]Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin, Shuicheng Yan:
Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm. CoRR abs/1804.03728 (2018) - [i22]Dong Yin, Yudong Chen, Kannan Ramchandran, Peter L. Bartlett:
Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning. CoRR abs/1806.05358 (2018) - [i21]Xiaodong Li, Yudong Chen, Jiaming Xu:
Convex Relaxation Methods for Community Detection. CoRR abs/1810.00315 (2018) - 2017
- [j13]Shiau Hong Lim, Yudong Chen, Huan Xu:
Clustering from General Pairwise Observations with Applications to Time-varying Graphs. J. Mach. Learn. Res. 18: 49:1-49:47 (2017) - [j12]Yudong Chen, Lili Su, Jiaming Xu:
Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent. Proc. ACM Meas. Anal. Comput. Syst. 1(2): 44:1-44:25 (2017) - [c21]Dong Yin, Ramtin Pedarsani, Yudong Chen, Kannan Ramchandran:
Learning mixtures of sparse linear regressions using sparse graph codes. Allerton 2017: 588-595 - [i20]Dong Yin, Ramtin Pedarsani, Yudong Chen, Kannan Ramchandran:
Learning Mixtures of Sparse Linear Regressions Using Sparse Graph Codes. CoRR abs/1703.00641 (2017) - [i19]Yudong Chen, Lili Su, Jiaming Xu:
Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent. CoRR abs/1705.05491 (2017) - [i18]Yingjie Fei, Yudong Chen:
Exponential error rates of SDP for block models: Beyond Grothendieck's inequality. CoRR abs/1705.08391 (2017) - [i17]Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin, Shuicheng Yan:
Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization. CoRR abs/1708.04181 (2017) - 2016
- [j11]Yudong Chen, Jiaming Xu:
Statistical-Computational Tradeoffs in Planted Problems and Submatrix Localization with a Growing Number of Clusters and Submatrices. J. Mach. Learn. Res. 17: 27:1-27:57 (2016) - [j10]Yudong Chen, Huan Xu, Constantine Caramanis, Sujay Sanghavi:
Matrix Completion With Column Manipulation: Near-Optimal Sample-Robustness-Rank Tradeoffs. IEEE Trans. Inf. Theory 62(1): 503-526 (2016) - [c20]Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin, Shuicheng Yan:
Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization. CVPR 2016: 5249-5257 - [c19]Xinyang Yi, Dohyung Park, Yudong Chen, Constantine Caramanis:
Fast Algorithms for Robust PCA via Gradient Descent. NIPS 2016: 4152-4160 - [i16]Xinyang Yi, Dohyung Park, Yudong Chen, Constantine Caramanis:
Fast Algorithms for Robust PCA via Gradient Descent. CoRR abs/1605.07784 (2016) - 2015
- [j9]Nir Ailon, Yudong Chen, Huan Xu:
Iterative and active graph clustering using trace norm minimization without cluster size constraints. J. Mach. Learn. Res. 16: 455-490 (2015) - [j8]Yudong Chen, Srinadh Bhojanapalli, Sujay Sanghavi, Rachel A. Ward:
Completing any low-rank matrix, provably. J. Mach. Learn. Res. 16: 2999-3034 (2015) - [j7]Yudong Chen:
Incoherence-Optimal Matrix Completion. IEEE Trans. Inf. Theory 61(5): 2909-2923 (2015) - [c18]Shiau Hong Lim, Yudong Chen, Huan Xu:
A Convex Optimization Framework for Bi-Clustering. ICML 2015: 1679-1688 - [i15]Yudong Chen, Martin J. Wainwright:
Fast low-rank estimation by projected gradient descent: General statistical and algorithmic guarantees. CoRR abs/1509.03025 (2015) - [i14]Yudong Chen, Xiaodong Li, Jiaming Xu:
Convexified Modularity Maximization for Degree-corrected Stochastic Block Models. CoRR abs/1512.08425 (2015) - 2014
- [j6]Yudong Chen, Ali Jalali, Sujay Sanghavi, Huan Xu:
Clustering partially observed graphs via convex optimization. J. Mach. Learn. Res. 15(1): 2213-2238 (2014) - [j5]Yudong Chen, Sujay Sanghavi, Huan Xu:
Improved Graph Clustering. IEEE Trans. Inf. Theory 60(10): 6440-6455 (2014) - [c17]Yudong Chen, Xinyang Yi, Constantine Caramanis:
A Convex Formulation for Mixed Regression with Two Components: Minimax Optimal Rates. COLT 2014: 560-604 - [c16]Yudong Chen, Jiaming Xu:
Statistical-Computational Phase Transitions in Planted Models: The High-Dimensional Setting. ICML 2014: 244-252 - [c15]Yudong Chen, Srinadh Bhojanapalli, Sujay Sanghavi, Rachel A. Ward:
Coherent Matrix Completion. ICML 2014: 674-682 - [c14]Yudong Chen, Shiau Hong Lim, Huan Xu:
Weighted Graph Clustering with Non-Uniform Uncertainties. ICML 2014: 1566-1574 - [c13]Shiau Hong Lim, Yudong Chen, Huan Xu:
Clustering from Labels and Time-Varying Graphs. NIPS 2014: 1188-1196 - 2013
- [j4]Yudong Chen, Ali Jalali, Sujay Sanghavi, Constantine Caramanis:
Low-Rank Matrix Recovery From Errors and Erasures. IEEE Trans. Inf. Theory 59(7): 4324-4337 (2013) - [j3]Qiaoyang Ye, Beiyu Rong, Yudong Chen, Mazin Al-Shalash, Constantine Caramanis, Jeffrey G. Andrews:
User Association for Load Balancing in Heterogeneous Cellular Networks. IEEE Trans. Wirel. Commun. 12(6): 2706-2716 (2013) - [c12]Li Li, Yudong Chen:
Quantization errors of modulo sigma-delta modulated ARMA processes. ChinaSIP 2013: 86-90 - [c11]Yudong Chen, Constantine Caramanis:
Noisy and Missing Data Regression: Distribution-Oblivious Support Recovery. ICML (1) 2013: 383-391 - [c10]Yudong Chen, Constantine Caramanis, Shie Mannor:
Robust Sparse Regression under Adversarial Corruption. ICML (3) 2013: 774-782 - [c9]Nir Ailon, Yudong Chen, Huan Xu:
Breaking the Small Cluster Barrier of Graph Clustering. ICML (3) 2013: 995-1003 - [i13]Yudong Chen, Constantine Caramanis, Shie Mannor:
Robust High Dimensional Sparse Regression and Matching Pursuit. CoRR abs/1301.2725 (2013) - [i12]Nir Ailon, Yudong Chen, Huan Xu:
Breaking the Small Cluster Barrier of Graph Clustering. CoRR abs/1302.4549 (2013) - [i11]Yudong Chen, Vikas Kawadia, Rahul Urgaonkar:
Detecting Overlapping Temporal Community Structure in Time-Evolving Networks. CoRR abs/1303.7226 (2013) - [i10]Srinadh Bhojanapalli, Yudong Chen, Sujay Sanghavi, Rachel A. Ward:
Coherent Matrix Completion. CoRR abs/1306.2979 (2013) - [i9]Yudong Chen:
Incoherence-Optimal Matrix Completion. CoRR abs/1310.0154 (2013) - [i8]Yudong Chen, Xinyang Yi, Constantine Caramanis:
A Convex Formulation for Mixed Regression: Near Optimal Rates in the Face of Noise. CoRR abs/1312.7006 (2013) - 2012
- [c8]Li Li, Zhiheng Li, Yi Zhang, Yudong Chen:
A Mixed-Fractal Traffic Flow Model Whose Hurst Exponent Appears Crossover. CSO 2012: 443-447 - [c7]Qiaoyang Ye, Beiyu Rong, Yudong Chen, Constantine Caramanis, Jeffrey G. Andrews:
Towards an optimal user association in heterogeneous cellular networks. GLOBECOM 2012: 4143-4147 - [c6]Yudong Chen, Sujay Sanghavi, Huan Xu:
Clustering Sparse Graphs. NIPS 2012: 2213-2221 - [c5]Yudong Chen, Constantine Caramanis:
Simple algorithms for sparse linear regression with uncertain covariates. SSP 2012: 413-415 - [i7]Qiaoyang Ye, Beiyu Rong, Yudong Chen, Mazin Al-Shalash, Constantine Caramanis, Jeffrey G. Andrews:
User Association for Load Balancing in Heterogeneous Cellular Networks. CoRR abs/1205.2833 (2012) - [i6]Yudong Chen, Constantine Caramanis:
Orthogonal Matching Pursuit with Noisy and Missing Data: Low and High Dimensional Results. CoRR abs/1206.0823 (2012) - 2011
- [c4]Yudong Chen, Huan Xu, Constantine Caramanis, Sujay Sanghavi:
Robust Matrix Completion and Corrupted Columns. ICML 2011: 873-880 - [c3]Ali Jalali, Yudong Chen, Sujay Sanghavi, Huan Xu:
Clustering Partially Observed Graphs via Convex Optimization. ICML 2011: 1001-1008 - [c2]Yudong Chen, Ali Jalali, Sujay Sanghavi, Constantine Caramanis:
Low-rank matrix recovery from errors and erasures. ISIT 2011: 2313-2317 - [i5]Yudong Chen, Huan Xu, Constantine Caramanis, Sujay Sanghavi:
Robust Matrix Completion with Corrupted Columns. CoRR abs/1102.2254 (2011) - [i4]Yudong Chen, Ali Jalali, Sujay Sanghavi, Constantine Caramanis:
Low-rank Matrix Recovery from Errors and Erasures. CoRR abs/1104.0354 (2011) - [i3]Ali Jalali, Yudong Chen, Sujay Sanghavi, Huan Xu:
Clustering Partially Observed Graphs via Convex Optimization. CoRR abs/1104.4803 (2011)
2000 – 2009
- 2009
- [j2]Zhiheng Li, Yudong Chen, Li Li, Yi Zhang:
Quantization Errors of Uniformly Quantized fGn and fBm Signals. IEEE Signal Process. Lett. 16(12): 1059-1062 (2009) - [j1]Li Li, Jianming Hu, Yudong Chen, Yi Zhang:
PCA based Hurst exponent estimator for fBm signals under disturbances. IEEE Trans. Signal Process. 57(7): 2840-2846 (2009) - [i2]Zhiheng Li, Li Li, Yudong Chen, Yi Zhang:
Quantization Errors of fGn and fBm Signals. CoRR abs/0905.4656 (2009) - [i1]Li Li, Yudong Chen, Yi Zhang:
A Mixed-Fractal Model for Network Traffic. CoRR abs/0906.0426 (2009) - 2006
- [c1]Yudong Chen, Yi Zhang, Jianming Hu, Danya Yao:
Pattern Discovering of Regional Traffic Status with Self-Organizing Maps. ITSC 2006: 647-652
Coauthor Index
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-03 21:21 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
