Yuxin Chen

发表

Nailed It: Autonomous Roofing with a Nailgun-Equipped Octocopter pdf

Matthew Romano, Yuxin Chen, Owen Marshall, 2019, ArXiv.

Inference and uncertainty quantification for noisy matrix completion

Yuling Yan, Cong Ma, Jianqing Fan, 2019, Proceedings of the National Academy of Sciences.

Inference for linear forms of eigenvectors under minimal eigenvalue separation: Asymmetry and heteroscedasticity pdf

Chen Cheng, Yuxin Chen, Yuting Wei, 2020, ArXiv.

Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization

Yuling Yan, Yuejie Chi, Cong Ma, 2019, SIAM J. Optim..

Nonconvex Low-Rank Symmetric Tensor Completion from Noisy Data pdf

H. Vincent Poor, Gen Li, Yuxin Chen, 2019, NeurIPS 2019.

Subspace Estimation from Unbalanced and Incomplete Data Matrices: 𝓁2, ∞ Statistical Guarantees pdf

H. Vincent Poor, Yuejie Chi, Gen Li, 2021, ArXiv.

Tackling small eigen-gaps: Fine-grained eigenvector estimation and inference under heteroscedastic noise

Chen Cheng, Yuxin Chen, Yuting Wei, 2020 .

Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data pdf

Yuling Yan, Yuxin Chen, Jianqing Fan, 2020, Annals of statistics.

Corner detection algorithm using correlation matrix of Gabor directional derivatives: Corner detection algorithm using correlation matrix of Gabor directional derivatives

Yuxin Chen, Zhanli Zhu, 2013 .

Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution pdf

Yuling Yan, Yuxin Chen, Jianqing Fan, 2020, ArXiv.

Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality

H. Vincent Poor, Yuxin Chen, Changxiao Cai, 2020, ICML.

Subspace Estimation from Unbalanced and Incomplete Data Matrices: $\ell_{2,\infty}$ Statistical Guarantees.

H. Vincent Poor, Yuejie Chi, Gen Li, 2019 .

System identification of a nonlinear glucose insulin dynamic model

Yaobin Chen, Yuxin Chen, S. Weinert, 2004, Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788).

Adaptive Teaching of Temporal Logic Formulas to Learners with Preferences pdf

Ufuk Topcu, Zhe Xu, Yuxin Chen, 2020, ArXiv.

Learning Mixtures of Low-Rank Models pdf

H. Vincent Poor, Yanxi Chen, Cong Ma, 2020, IEEE Transactions on Information Theory.

Communication-Efficient Distributed Optimization in Networks with Gradient Tracking pdf

Yuejie Chi, Yuxin Chen, Boyue Li, 2019, AISTATS.

Nonconvex Low-Rank Tensor Completion from Noisy Data

H. Vincent Poor, Gen Li, Yuxin Chen, 2019, NeurIPS.

Tackling Small Eigen-Gaps: Fine-Grained Eigenvector Estimation and Inference Under Heteroscedastic Noise

Yuxin Chen, Yuting Wei, Chen Cheng, 2021, IEEE Transactions on Information Theory.

Softmax Policy Gradient Methods Can Take Exponential Time to Converge

Yuantao Gu, Yuejie Chi, Gen Li, 2021, COLT.

Spectral Methods for Data Science: A Statistical Perspective

Yuejie Chi, Jianqing Fan, Yuxin Chen, 2021, Found. Trends Mach. Learn..

Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence pdf

Yuejie Chi, Yuxin Chen, Wenhao Zhan, 2021, ArXiv.

Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction

Yuantao Gu, Yuejie Chi, Gen Li, 2022, IEEE Transactions on Information Theory.

Minimax Estimation of Linear Functions of Eigenvectors in the Face of Small Eigen-Gaps pdf

H. Vincent Poor, Yuantao Gu, Gen Li, 2021, ArXiv.

Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting pdf

Yuantao Gu, Yuejie Chi, Gen Li, 2021, NeurIPS.

Community Recovery in Graphs with Locality — Supplemental Materials —

David Tse, Changho Suh, Yuxin Chen, 2016 .

Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model pdf

Yuantao Gu, Yuejie Chi, Gen Li, 2020, NeurIPS.

Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution Under Random Designs pdf

Yuxin Chen, Jianqing Fan, Bingyan Wang, 2020, Journal of the American Statistical Association.

Subspace Estimation from Unbalanced and Incomplete Data Matrices: $\ell_{2,\infty}$ Statistical Guarantees.

H. Vincent Poor, Yuejie Chi, Gen Li, 2019 .