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ORCIDYuxin Chen 0002
Person information
- affiliation: University of Pennsylvania, Wharton School, Philadelphia, PA, USA
- affiliation (former): Princeton University, Department of Electrical Engineering, NJ, USA
- affiliation (former): Stanford University, Department of Statistics, CA, USA
Other persons with the same name
- Yuxin Chen (aka: Yu-Xin Chen, Yu-xin Chen) — disambiguation page
- Yuxin Chen 0001 — University of Chicago, Department of Computer Science, IL, USA (and 2 more)
- Yuxin Chen 0003 (aka: Yuxin (Jerry) Chen) — Virginia Tech, Digital Library Research Lab, Blacksburg, VA, USA
- Yuxin Chen 0004
![[0000-0002-1318-3294]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-1318-3294")
— New York University, Leonard N. Stern School of Business, NY, USA (and 1 more) - Yuxin Chen 0005 — ENSTA ParisTech, Palaiseau, France
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2020 – today
- 2024
[j28]Gen Li, Yuting Wei, Yuejie Chi, Yuxin Chen:
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model. Oper. Res. 72(1): 203-221 (2024)- [j27]Gen Li, Changxiao Cai, Yuxin Chen, Yuting Wei, Yuejie Chi:
Is Q-Learning Minimax Optimal? A Tight Sample Complexity Analysis. Oper. Res. 72(1): 222-236 (2024) - [c43]Gen Li, Yuling Yan, Yuxin Chen, Jianqing Fan:
Minimax-optimal reward-agnostic exploration in reinforcement learning. COLT 2024: 3431-3436 - [c42]Zihan Zhang, Yuxin Chen, Jason D. Lee, Simon S. Du:
Settling the sample complexity of online reinforcement learning. COLT 2024: 5213-5219 - [c41]Zihan Zhang, Wenhao Zhan, Yuxin Chen, Simon S. Du, Jason D. Lee:
Optimal Multi-Distribution Learning. COLT 2024: 5220-5223 - [c40]Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi:
Towards Non-Asymptotic Convergence for Diffusion-Based Generative Models. ICLR 2024 - [c39]Zihan Zhang, Jason D. Lee, Yuxin Chen, Simon Shaolei Du:
Horizon-Free Regret for Linear Markov Decision Processes. ICLR 2024 - [c38]Gen Li, Yu Huang, Timofey Efimov, Yuting Wei, Yuejie Chi, Yuxin Chen:
Accelerating Convergence of Score-Based Diffusion Models, Provably. ICML 2024 - [i62]Gen Li, Yu Huang, Timofey Efimov, Yuting Wei, Yuejie Chi, Yuxin Chen:
Accelerating Convergence of Score-Based Diffusion Models, Provably. CoRR abs/2403.03852 (2024) - [i61]Zihan Zhang, Jason D. Lee, Yuxin Chen, Simon S. Du:
Horizon-Free Regret for Linear Markov Decision Processes. CoRR abs/2403.10738 (2024) - [i60]Gen Li, Yuting Wei, Yuejie Chi, Yuxin Chen:
A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion Models. CoRR abs/2408.02320 (2024) - 2023
- [j26]Gen Li, Yuting Wei, Yuejie Chi, Yuxin Chen:
Softmax policy gradient methods can take exponential time to converge. Math. Program. 201(1): 707-802 (2023) - [j25]Wenhao Zhan, Shicong Cen, Baihe Huang, Yuxin Chen, Jason D. Lee, Yuejie Chi:
Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence. SIAM J. Optim. 33(2): 1061-1091 (2023) - [j24]Changxiao Cai, H. Vincent Poor, Yuxin Chen:
Uncertainty Quantification for Nonconvex Tensor Completion: Confidence Intervals, Heteroscedasticity and Optimality. IEEE Trans. Inf. Theory 69(1): 407-452 (2023) - [j23]Yuling Yan, Gen Li, Yuxin Chen, Jianqing Fan:
The Efficacy of Pessimism in Asynchronous Q-Learning. IEEE Trans. Inf. Theory 69(11): 7185-7219 (2023) - [c37]Gen Li, Wenhao Zhan, Jason D. Lee, Yuejie Chi, Yuxin Chen:
Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning. NeurIPS 2023 - [c36]Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Matthieu Geist, Yuejie Chi:
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model. NeurIPS 2023 - [c35]Shilei Cao, Yujie Lin, Xianli Zhang, Yufu Chen, Zhen Zhu, Yuxin Chen, Buyue Qian, Feng Wang, Zang Li:
Embedding Transfer with Enhanced Correlation Modeling for Cross-Domain Recommendation. SDM 2023: 73-81 - [i59]Gen Li, Yanxi Chen, Yuejie Chi, H. Vincent Poor, Yuxin Chen:
Fast Computation of Optimal Transport via Entropy-Regularized Extragradient Methods. CoRR abs/2301.13006 (2023) - [i58]Gen Li, Yuling Yan, Yuxin Chen, Jianqing Fan:
Minimax-Optimal Reward-Agnostic Exploration in Reinforcement Learning. CoRR abs/2304.07278 (2023) - [i57]Gen Li, Wenhao Zhan, Jason D. Lee, Yuejie Chi, Yuxin Chen:
Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning. CoRR abs/2305.10282 (2023) - [i56]Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Matthieu Geist, Yuejie Chi:
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model. CoRR abs/2305.16589 (2023) - [i55]Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi:
Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models. CoRR abs/2306.09251 (2023) - [i54]Zihan Zhang, Yuxin Chen, Jason D. Lee, Simon S. Du:
Settling the Sample Complexity of Online Reinforcement Learning. CoRR abs/2307.13586 (2023) - [i53]Tong Yang, Shicong Cen, Yuting Wei, Yuxin Chen, Yuejie Chi:
Federated Natural Policy Gradient Methods for Multi-task Reinforcement Learning. CoRR abs/2311.00201 (2023) - [i52]Zihan Zhang, Wenhao Zhan, Yuxin Chen, Simon S. Du, Jason D. Lee:
Optimal Multi-Distribution Learning. CoRR abs/2312.05134 (2023) - 2022
- [j22]Changxiao Cai, Gen Li, H. Vincent Poor, Yuxin Chen:
Nonconvex Low-Rank Tensor Completion from Noisy Data. Oper. Res. 70(2): 1219-1237 (2022) - [j21]Shicong Cen, Chen Cheng, Yuxin Chen, Yuting Wei, Yuejie Chi:
Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization. Oper. Res. 70(4): 2563-2578 (2022) - [j20]Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen:
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction. IEEE Trans. Inf. Theory 68(1): 448-473 (2022) - [c34]Xiangjin Xie, Yuxin Chen, Ruipeng Wang, Xianli Zhang, Shilei Cao, Kai Ouyang, Zihan Zhang, Hai-Tao Zheng, Buyue Qian, Hansen Zheng, Bo Hu, Chengxiang Zhuo, Zang Li:
MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation. ICDM 2022: 598-607 - [c33]Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi:
Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity. ICML 2022: 19967-20025 - [c32]Gen Li, Yuejie Chi, Yuting Wei, Yuxin Chen:
Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model. NeurIPS 2022 - [i51]Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi:
Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity. CoRR abs/2202.13890 (2022) - [i50]Yuling Yan, Gen Li, Yuxin Chen, Jianqing Fan:
The Efficacy of Pessimism in Asynchronous Q-Learning. CoRR abs/2203.07368 (2022) - [i49]Gen Li, Laixi Shi, Yuxin Chen, Yuejie Chi, Yuting Wei:
Settling the Sample Complexity of Model-Based Offline Reinforcement Learning. CoRR abs/2204.05275 (2022) - [i48]Yuling Yan, Gen Li, Yuxin Chen, Jianqing Fan:
Model-Based Reinforcement Learning Is Minimax-Optimal for Offline Zero-Sum Markov Games. CoRR abs/2206.04044 (2022) - [i47]Gen Li, Yuejie Chi, Yuting Wei, Yuxin Chen:
Minimax-Optimal Multi-Agent RL in Zero-Sum Markov Games With a Generative Model. CoRR abs/2208.10458 (2022) - 2021
- [j19]Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma:
Spectral Methods for Data Science: A Statistical Perspective. Found. Trends Mach. Learn. 14(5): 566-806 (2021) - [j18]Yuanxin Li, Cong Ma, Yuxin Chen, Yuejie Chi:
Nonconvex Matrix Factorization From Rank-One Measurements. IEEE Trans. Inf. Theory 67(3): 1928-1950 (2021) - [j17]Yanxi Chen, Cong Ma, H. Vincent Poor, Yuxin Chen:
Learning Mixtures of Low-Rank Models. IEEE Trans. Inf. Theory 67(7): 4613-4636 (2021) - [j16]Chen Cheng, Yuting Wei, Yuxin Chen:
Tackling Small Eigen-Gaps: Fine-Grained Eigenvector Estimation and Inference Under Heteroscedastic Noise. IEEE Trans. Inf. Theory 67(11): 7380-7419 (2021) - [c31]Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen:
Softmax Policy Gradient Methods Can Take Exponential Time to Converge. COLT 2021: 3107-3110 - [c30]Gen Li, Changxiao Cai, Yuxin Chen, Yuantao Gu, Yuting Wei, Yuejie Chi:
Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning. ICML 2021: 6296-6306 - [c29]Gen Li, Yuxin Chen, Yuejie Chi, Yuantao Gu, Yuting Wei:
Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting. NeurIPS 2021: 16671-16685 - [c28]Gen Li, Laixi Shi, Yuxin Chen, Yuantao Gu, Yuejie Chi:
Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning. NeurIPS 2021: 17762-17776 - [i46]Gen Li, Changxiao Cai, Yuxin Chen, Yuantao Gu, Yuting Wei, Yuejie Chi:
Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning. CoRR abs/2102.06548 (2021) - [i45]Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen:
Softmax Policy Gradient Methods Can Take Exponential Time to Converge. CoRR abs/2102.11270 (2021) - [i44]Gen Li, Changxiao Cai, Yuantao Gu, H. Vincent Poor, Yuxin Chen:
Minimax Estimation of Linear Functions of Eigenvectors in the Face of Small Eigen-Gaps. CoRR abs/2104.03298 (2021) - [i43]Gen Li, Yuxin Chen, Yuejie Chi, Yuantao Gu, Yuting Wei:
Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting. CoRR abs/2105.08024 (2021) - [i42]Wenhao Zhan, Shicong Cen, Baihe Huang, Yuxin Chen, Jason D. Lee, Yuejie Chi:
Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence. CoRR abs/2105.11066 (2021) - [i41]Yuling Yan, Yuxin Chen, Jianqing Fan:
Inference for Heteroskedastic PCA with Missing Data. CoRR abs/2107.12365 (2021) - [i40]Gen Li, Laixi Shi, Yuxin Chen, Yuantao Gu, Yuejie Chi:
Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning. CoRR abs/2110.04645 (2021) - 2020
- [j15]Cong Ma, Kaizheng Wang, Yuejie Chi, Yuxin Chen:
Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution. Found. Comput. Math. 20(3): 451-632 (2020) - [j14]Boyue Li, Shicong Cen, Yuxin Chen, Yuejie Chi:
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction. J. Mach. Learn. Res. 21: 180:1-180:51 (2020) - [j13]Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma, Yuling Yan:
Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization. SIAM J. Optim. 30(4): 3098-3121 (2020) - [c27]Boyue Li, Shicong Cen, Yuxin Chen, Yuejie Chi:
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction. AISTATS 2020: 1662-1672 - [c26]Changxiao Cai, H. Vincent Poor, Yuxin Chen:
Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality. ICML 2020: 1271-1282 - [c25]Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen:
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction. NeurIPS 2020 - [c24]Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen:
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model. NeurIPS 2020 - [i39]Chen Cheng, Yuting Wei, Yuxin Chen:
Inference for linear forms of eigenvectors under minimal eigenvalue separation: Asymmetry and heteroscedasticity. CoRR abs/2001.04620 (2020) - [i38]Yuxin Chen, Jianqing Fan, Cong Ma, Yuling Yan:
Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data. CoRR abs/2001.05484 (2020) - [i37]Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen:
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model. CoRR abs/2005.12900 (2020) - [i36]Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen:
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction. CoRR abs/2006.03041 (2020) - [i35]Changxiao Cai, H. Vincent Poor, Yuxin Chen:
Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality. CoRR abs/2006.08580 (2020) - [i34]Shicong Cen, Chen Cheng, Yuxin Chen, Yuting Wei, Yuejie Chi:
Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization. CoRR abs/2007.06558 (2020) - [i33]Yuxin Chen, Jianqing Fan, Bingyan Wang, Yuling Yan:
Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution. CoRR abs/2008.01724 (2020) - [i32]Yanxi Chen, Cong Ma, H. Vincent Poor, Yuxin Chen:
Learning Mixtures of Low-Rank Models. CoRR abs/2009.11282 (2020) - [i31]Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma:
Spectral Methods for Data Science: A Statistical Perspective. CoRR abs/2012.08496 (2020)
2010 – 2019
- 2019
- [j12]Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma:
Gradient descent with random initialization: fast global convergence for nonconvex phase retrieval. Math. Program. 176(1-2): 5-37 (2019) - [j11]Yuejie Chi, Yue M. Lu, Yuxin Chen:
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview. IEEE Trans. Signal Process. 67(20): 5239-5269 (2019) - [c23]Yuanxin Li, Cong Ma, Yuxin Chen, Yuejie Chi:
Nonconvex Matrix Factorization from Rank-One Measurements. AISTATS 2019: 1496-1505 - [c22]Changxiao Cai, Gen Li, H. Vincent Poor, Yuxin Chen:
Nonconvex Low-Rank Tensor Completion from Noisy Data. NeurIPS 2019: 1861-1872 - [i30]Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma, Yuling Yan:
Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization. CoRR abs/1902.07698 (2019) - [i29]Yuxin Chen, Jianqing Fan, Cong Ma, Yuling Yan:
Inference and Uncertainty Quantification for Noisy Matrix Completion. CoRR abs/1906.04159 (2019) - [i28]Boyue Li, Shicong Cen, Yuxin Chen, Yuejie Chi:
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking. CoRR abs/1909.05844 (2019) - [i27]Changxiao Cai, Gen Li, Yuejie Chi, H. Vincent Poor, Yuxin Chen:
Subspace Estimation from Unbalanced and Incomplete Data Matrices: 𝓁2, ∞ Statistical Guarantees. CoRR abs/1910.04267 (2019) - [i26]Changxiao Cai, Gen Li, H. Vincent Poor, Yuxin Chen:
Nonconvex Low-Rank Symmetric Tensor Completion from Noisy Data. CoRR abs/1911.04436 (2019) - 2018
- [c21]Cong Ma, Kaizheng Wang, Yuejie Chi, Yuxin Chen:
Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval and Matrix Completion. ICML 2018: 3351-3360 - [i25]Yuanxin Li, Cong Ma, Yuxin Chen, Yuejie Chi:
Nonconvex Matrix Factorization from Rank-One Measurements. CoRR abs/1802.06286 (2018) - [i24]Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma:
Gradient Descent with Random Initialization: Fast Global Convergence for Nonconvex Phase Retrieval. CoRR abs/1803.07726 (2018) - [i23]Yuejie Chi, Yue M. Lu, Yuxin Chen:
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview. CoRR abs/1809.09573 (2018) - [i22]Yuxin Chen, Chen Cheng, Jianqing Fan:
Asymmetry Helps: Eigenvalue and Eigenvector Analyses of Asymmetrically Perturbed Low-Rank Matrices. CoRR abs/1811.12804 (2018) - 2017
- [j10]Yuxin Chen, Andrea J. Goldsmith, Yonina C. Eldar:
On the Minimax Capacity Loss Under Sub-Nyquist Universal Sampling. IEEE Trans. Inf. Theory 63(6): 3348-3367 (2017) - [i21]Pragya Sur, Yuxin Chen, Emmanuel J. Candès:
The Likelihood Ratio Test in High-Dimensional Logistic Regression Is Asymptotically a Rescaled Chi-Square. CoRR abs/1706.01191 (2017) - [i20]Yuxin Chen, Jianqing Fan, Cong Ma, Kaizheng Wang:
Spectral Method and Regularized MLE Are Both Optimal for Top-$K$ Ranking. CoRR abs/1707.09971 (2017) - [i19]Cong Ma, Kaizheng Wang, Yuejie Chi, Yuxin Chen:
Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion and Blind Deconvolution. CoRR abs/1711.10467 (2017) - 2016
- [j9]Yuxin Chen, Changho Suh, Andrea J. Goldsmith:
Information Recovery From Pairwise Measurements. IEEE Trans. Inf. Theory 62(10): 5881-5905 (2016) - [c20]Yuxin Chen, Govinda M. Kamath, Changho Suh, David Tse:
Community Recovery in Graphs with Locality. ICML 2016: 689-698 - [i18]Yuxin Chen, Govinda M. Kamath, Changho Suh, David N. C. Tse:
Community Recovery in Graphs with Locality. CoRR abs/1602.03828 (2016) - [i17]Yuxin Chen, Emmanuel J. Candès:
The Projected Power Method: An Efficient Algorithm for Joint Alignment from Pairwise Differences. CoRR abs/1609.05820 (2016) - 2015
- [j8]Yuxin Chen, Andrea J. Goldsmith, Yonina C. Eldar:
Backing Off From Infinity: Performance Bounds via Concentration of Spectral Measure for Random MIMO Channels. IEEE Trans. Inf. Theory 61(1): 366-387 (2015) - [j7]Yuxin Chen, Yuejie Chi, Andrea J. Goldsmith:
Exact and Stable Covariance Estimation From Quadratic Sampling via Convex Programming. IEEE Trans. Inf. Theory 61(7): 4034-4059 (2015) - [j6]Yuejie Chi, Yuxin Chen:
Compressive Two-Dimensional Harmonic Retrieval via Atomic Norm Minimization. IEEE Trans. Signal Process. 63(4): 1030-1042 (2015) - [c19]Yuxin Chen, Changho Suh:
Spectral MLE: Top-K Rank Aggregation from Pairwise Comparisons. ICML 2015: 371-380 - [c18]Yuxin Chen, Changho Suh, Andrea J. Goldsmith:
Information recovery from pairwise measurements: A shannon-theoretic approach. ISIT 2015: 2336-2340 - [c17]Yuxin Chen, Changho Suh:
Top-K ranking: An information-theoretic perspective. ITW Fall 2015: 212-213 - [c16]Yuxin Chen, Emmanuel J. Candès:
Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems. NIPS 2015: 739-747 - [i16]Yuxin Chen, Changho Suh, Andrea J. Goldsmith:
Information Recovery from Pairwise Measurements: A Shannon-Theoretic Approach. CoRR abs/1504.01369 (2015) - [i15]Yuxin Chen, Changho Suh:
Spectral MLE: Top-$K$ Rank Aggregation from Pairwise Comparisons. CoRR abs/1504.07218 (2015) - [i14]Yuxin Chen, Emmanuel J. Candès:
Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems. CoRR abs/1505.05114 (2015) - 2014
- [j5]Yuxin Chen, Andrea J. Goldsmith, Yonina C. Eldar:
Channel Capacity Under Sub-Nyquist Nonuniform Sampling. IEEE Trans. Inf. Theory 60(8): 4739-4756 (2014) - [j4]Yuxin Chen, Yuejie Chi:
Robust Spectral Compressed Sensing via Structured Matrix Completion. IEEE Trans. Inf. Theory 60(10): 6576-6601 (2014) - [c15]Yuxin Chen, Yonina C. Eldar, Andrea J. Goldsmith:
An algorithm for exact super-resolution and phase retrieval. ICASSP 2014: 754-758 - [c14]Yuxin Chen, Yuejie Chi, Andrea J. Goldsmith:
Estimation of simultaneously structured covariance matrices from quadratic measurements. ICASSP 2014: 7669-7673 - [c13]Qi-Xing Huang, Yuxin Chen, Leonidas J. Guibas:
Scalable Semidefinite Relaxation for Maximum A Posterior Estimation. ICML 2014: 64-72 - [c12]Yuxin Chen, Leonidas J. Guibas, Qi-Xing Huang:
Near-Optimal Joint Object Matching via Convex Relaxation. ICML 2014: 100-108 - [c11]Yuxin Chen, Andrea J. Goldsmith:
Information recovery from pairwise measurements. ISIT 2014: 2012-2016 - [c10]Yuxin Chen, Yuejie Chi, Andrea J. Goldsmith:
Robust and universal covariance estimation from quadratic measurements via convex programming. ISIT 2014: 2017-2021 - [i13]Yuxin Chen, Leonidas J. Guibas, Qi-Xing Huang:
Near-Optimal Joint Object Matching via Convex Relaxation. CoRR abs/1402.1473 (2014) - [i12]Qixing Huang, Yuxin Chen, Leonidas J. Guibas:
Scalable Semidefinite Relaxation for Maximum A Posterior Estimation. CoRR abs/1405.4807 (2014) - 2013
- [j3]Yuxin Chen, Sanjay Shakkottai, Jeffrey G. Andrews:
On the Role of Mobility for Multimessage Gossip. IEEE Trans. Inf. Theory 59(6): 3953-3970 (2013) - [j2]Yuxin Chen, Yonina C. Eldar, Andrea J. Goldsmith:
Shannon Meets Nyquist: Capacity of Sampled Gaussian Channels. IEEE Trans. Inf. Theory 59(8): 4889-4914 (2013) - [c9]Yuejie Chi, Yuxin Chen:
Compressive recovery of 2-D off-grid frequencies. ACSSC 2013: 687-691 - [c8]Yuxin Chen, Yuejie Chi:
Spectral Compressed Sensing via Structured Matrix Completion. ICML (3) 2013: 414-422 - [c7]Yuxin Chen, Andrea J. Goldsmith, Yonina C. Eldar:
Minimax universal sampling for compound multiband channels. ISIT 2013: 1032-1036 - [i11]Yuxin Chen, Yuejie Chi:
Spectral Compressed Sensing via Structured Matrix Completion. CoRR abs/1304.4610 (2013) - [i10]Yuxin Chen, Andrea Goldsmith, Yonina C. Eldar:
Minimax Capacity Loss under Sub-Nyquist Universal Sampling. CoRR abs/1304.7751 (2013) - [i9]Yuxin Chen, Yuejie Chi:
Robust Spectral Compressed Sensing via Structured Matrix Completion. CoRR abs/1304.8126 (2013) - [i8]Yuxin Chen, Yuejie Chi, Andrea Goldsmith:
Exact and Stable Covariance Estimation from Quadratic Sampling via Convex Programming. CoRR abs/1310.0807 (2013) - [i7]Yuxin Chen, Yonina C. Eldar, Andrea J. Goldsmith:
An Algorithm for Exact Super-resolution and Phase Retrieval. CoRR abs/1310.7552 (2013) - [i6]Yuxin Chen, Andrea J. Goldsmith, Yonina C. Eldar:
Backing off from Infinity: Tight Performance Bounds for Large Random Vector Channels. CoRR abs/1312.2574 (2013) - 2012
- [j1]Yuxin Chen, Jeffrey G. Andrews:
An Upper Bound on Multihop Transmission Capacity With Dynamic Routing Selection. IEEE Trans. Inf. Theory 58(6): 3751-3765 (2012) - [c6]Yuxin Chen, Yonina C. Eldar, Andrea J. Goldsmith:
Channel capacity under general nonuniform sampling. ISIT 2012: 855-859 - [i5]Yuxin Chen, Yonina C. Eldar, Andrea J. Goldsmith:
Channel Capacity under General Nonuniform Sampling. CoRR abs/1202.0871 (2012) - [i4]Yuxin Chen, Sanjay Shakkottai, Jeffrey G. Andrews:
On the Role of Mobility for Multi-message Gossip. CoRR abs/1204.3114 (2012) - [i3]Yuxin Chen, Yonina C. Eldar, Andrea J. Goldsmith:
Channel Capacity under Sub-Nyquist Nonuniform Sampling. CoRR abs/1204.6049 (2012) - 2011
- [c5]Yuxin Chen, Andrea J. Goldsmith, Yonina C. Eldar:
Shannon meets Nyquist: The interplay between capacity and sampling. Allerton 2011: 1090-1097 - [c4]Yuxin Chen, Yonina C. Eldar, Andrea J. Goldsmith:
Shannon meets Nyquist: Capacity limits of sampled analog channels. ICASSP 2011: 3104-3107 - [c3]Yuxin Chen, Sanjay Shakkottai, Jeffrey G. Andrews:
Sharing multiple messages over mobile networks. INFOCOM 2011: 658-666 - [c2]Yuxin Chen, Yonina C. Eldar, Andrea J. Goldsmith:
Approaching the capacity of sampled analog channels. ITW 2011: 15-19 - [i2]Yuxin Chen, Yonina C. Eldar, Andrea J. Goldsmith:
Shannon Meets Nyquist: Capacity Limits of Sampled Analog Channels. CoRR abs/1109.5415 (2011) - 2010
- [c1]Yuxin Chen, Jeffrey G. Andrews:
An upper bound on multi-hop transmission capacity with dynamic routing selection. ISIT 2010: 1718-1722 - [i1]Yuxin Chen, Jeffrey G. Andrews:
An Upper Bound on Multi-hop Transmission Capacity with Dynamic Multipath Routing. CoRR abs/1004.3714 (2010)
Coauthor Index
[j28] [j27] [c40] [c38] [i62] [i60] [j26] [j25] [c37] [c36] [i59] [i57] [i56] [i55] [i53] [j21] [j20] [c33] [c32] [i51] [i49] [i47] [j19] [j18] [c31] [c30] [c29] [c28] [i46] [i45] [i43] [i42] [i40] [j15] [j14] [j13] [c27] [c25] [c24] [i37] [i36] [i34] [i31] [j12] [j11] [c23] [i30] [i28] [i27] [c21] [i25] [i24] [i23] [i19] [j7] [j6] [j4] [c14] [c10] [c9] [c8] [i11] [i9] [i8]
Andrea J. Goldsmith
aka: Andrea Goldsmith
aka: Andrea Goldsmith
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Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. 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 Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
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 
.
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last updated on 2024-11-26 21:41 CET by the dblp team
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