Anru Zhang

According to our database, Anru Zhang authored at least 46 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Cocaine Use Prediction With Tensor-Based Machine Learning on Multimodal MRI Connectome Data.

Anru R. Zhang, Ryan P. Bell, Chen An, Runshi Tang, Shana A. Hall, Cliburn Chan, Kareem Al-Khalil, Christina S. Meade

Neural Comput., January, 2024

One-Dimensional Tensor Network Recovery.

Ziang Chen, Jianfeng Lu, Anru Zhang

SIAM J. Matrix Anal. Appl., 2024

On Geometric Connections of Embedded and Quotient Geometries in Riemannian Fixed-Rank Matrix Optimization.

Yuetian Luo, Xudong Li, Anru R. Zhang

Math. Oper. Res., 2024

Soft phenotyping for sepsis via EHR time-aware soft clustering.

Shiyi Jiang, Xin Gai, Miriam M. Treggiari, William W. Stead, Yuankang Zhao, C. David Page, Anru R. Zhang

J. Biomed. Informatics, 2024

Reliable generation of privacy-preserving synthetic electronic health record time series via diffusion models.

Muhang Tian, Bernie Chen, Allan Guo, Shiyi Jiang, Anru R. Zhang

J. Am. Medical Informatics Assoc., 2024

Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-Order Convergence.

Yuetian Luo, Wen Huang, Xudong Li, Anru Zhang

Oper. Res., 2024

Tensor Decomposition with Unaligned Observations.

Runshi Tang, Tamara G. Kolda, Anru R. Zhang

CoRR, 2024

Tensor Decomposition Meets RKHS: Efficient Algorithms for Smooth and Misaligned Data.

Brett W. Larsen, Tamara G. Kolda, Anru R. Zhang, Alex H. Williams

CoRR, 2024

2023

Learning Good State and Action Representations for Markov Decision Process via Tensor Decomposition.

Chengzhuo Ni, Yaqi Duan, Munther A. Dahleh, Mengdi Wang, Anru R. Zhang

J. Mach. Learn. Res., 2023

Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence.

Yuetian Luo, Anru R. Zhang

J. Mach. Learn. Res., 2023

Fast and Reliable Generation of EHR Time Series via Diffusion Models.

Muhang Tian, Bernie Chen, Allan Guo, Shiyi Jiang, Anru R. Zhang

CoRR, 2023

Mode-wise Principal Subspace Pursuit and Matrix Spiked Covariance Model.

Runshi Tang, Ming Yuan, Anru R. Zhang

CoRR, 2023

Learning Polynomial Transformations via Generalized Tensor Decompositions.

Sitan Chen, Jerry Li, Yuanzhi Li, Anru R. Zhang

Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 2023

Phase transition for detecting a small community in a large network.

Jiashun Jin, Zheng Tracy Ke, Paxton Turner, Anru Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions.

Sitan Chen, Sinho Chewi, Jerry Li, Yuanzhi Li, Adil Salim, Anru Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Statistical and Computational Limits for Tensor-on-Tensor Association Detection.

Ilias Diakonikolas, Daniel M. Kane, Yuetian Luo, Anru Zhang

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022

Optimal High-Order Tensor SVD via Tensor-Train Orthogonal Iteration.

Yuchen Zhou, Anru R. Zhang, Lili Zheng, Yazhen Wang

IEEE Trans. Inf. Theory, 2022

Sparse Group Lasso: Optimal Sample Complexity, Convergence Rate, and Statistical Inference.

T. Tony Cai, Anru R. Zhang, Yuchen Zhou

IEEE Trans. Inf. Theory, 2022

Learning Markov Models Via Low-Rank Optimization.

Ziwei Zhu, Xudong Li, Mengdi Wang, Anru Zhang

Oper. Res., 2022

Self-supervised Denoising via Low-rank Tensor Approximated Convolutional Neural Network.

Chenyin Gao, Shu Yang, Anru R. Zhang

CoRR, 2022

Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their Interplay.

Yuetian Luo, Anru R. Zhang

CoRR, 2022

Learning Polynomial Transformations.

Sitan Chen, Jerry Li, Yuanzhi Li, Anru R. Zhang

CoRR, 2022

Provable Second-Order Riemannian Gauss-Newton Method for Low-Rank Tensor Estimation ^‖.

Yuetian Luo, Qin Ma, Chi Zhang, Anru R. Zhang

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration.

Yuetian Luo, Garvesh Raskutti, Ming Yuan, Anru R. Zhang

J. Mach. Learn. Res., 2021

Nonconvex Factorization and Manifold Formulations are Almost Equivalent in Low-rank Matrix Optimization.

Yuetian Luo, Xudong Li, Anru R. Zhang

CoRR, 2021

Learning Good State and Action Representations via Tensor Decomposition.

Chengzhuo Ni, Anru R. Zhang, Yaqi Duan, Mengdi Wang

Proceedings of the IEEE International Symposium on Information Theory, 2021

2020

Spectral State Compression of Markov Processes.

Anru Zhang, Mengdi Wang

IEEE Trans. Inf. Theory, 2020

Sparse and Low-Rank Tensor Estimation via Cubic Sketchings.

Botao Hao, Anru Zhang, Guang Cheng

IEEE Trans. Inf. Theory, 2020

ISLET: Fast and Optimal Low-Rank Tensor Regression via Importance Sketching.

Anru R. Zhang, Yuetian Luo, Garvesh Raskutti, Ming Yuan

SIAM J. Math. Data Sci., 2020

Inference for Low-rank Tensors - No Need to Debias.

Dong Xia, Anru R. Zhang, Yuchen Zhou

CoRR, 2020

A Schatten-q Matrix Perturbation Theory via Perturbation Projection Error Bound.

Yuetian Luo, Anru R. Zhang

CoRR, 2020

Tensor Clustering with Planted Structures: Statistical Optimality and Computational Limits.

Yuetian Luo, Anru Zhang

CoRR, 2020

An Optimal Statistical and Computational Framework for Generalized Tensor Estimation.

Rungang Han, Rebecca Willett, Anru Zhang

CoRR, 2020

Open Problem: Average-Case Hardness of Hypergraphic Planted Clique Detection.

Yuetian Luo, Anru R. Zhang

Proceedings of the Conference on Learning Theory, 2020

2018

Tensor SVD: Statistical and Computational Limits.

Anru Zhang, Dong Xia

IEEE Trans. Inf. Theory, 2018

A Non-asymptotic, Sharp, and User-friendly Reverse Chernoff-Cramèr Bound.

Anru Zhang, Yuchen Zhou

CoRR, 2018

State Compression of Markov Processes via Empirical Low-Rank Estimation.

Anru Zhang, Mengdi Wang

CoRR, 2018

Estimation of Markov Chain via Rank-constrained Likelihood.

Xudong Li, Mengdi Wang, Anru Zhang

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Guaranteed Tensor PCA with Optimality in Statistics and Computation.

Anru Zhang, Dong Xia

CoRR, 2017

2016

Minimax rate-optimal estimation of high-dimensional covariance matrices with incomplete data.

T. Tony Cai, Anru Zhang

J. Multivar. Anal., 2016

Inference for high-dimensional differential correlation matrices.

T. Tony Cai, Anru Zhang

J. Multivar. Anal., 2016

Cross: Efficient Low-rank Tensor Completion.

Anru Zhang

CoRR, 2016

2014

Sparse Representation of a Polytope and Recovery of Sparse Signals and Low-Rank Matrices.

T. Tony Cai, Anru Zhang

IEEE Trans. Inf. Theory, 2014

2013

Compressed Sensing and Affine Rank Minimization Under Restricted Isometry.

T. Tony Cai, Anru Zhang

IEEE Trans. Signal Process., 2013

Sharp RIP Bound for Sparse Signal and Low-Rank Matrix Recovery

T. Tony Cai, Anru Zhang

CoRR, 2013

ROP: Matrix Recovery via Rank-One Projections.

T. Tony Cai, Anru Zhang

CoRR, 2013