Anru R. Zhang

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 30

Top Topics

Constrained Least Squares

Tensor Decomposition

Phase Transition

Top Venues

IEEE Trans. Inf. Theory

J. Mach. Learn. Res.

Publications

Anru R. Zhang, Ryan P. Bell, Chen An, Runshi Tang, Shana A. Hall, Cliburn Chan, Kareem Al-Khalil, Christina S. Meade
Cocaine Use Prediction With Tensor-Based Machine Learning on Multimodal MRI Connectome Data. Neural Comput. 36 (1) (2024)
Shiyi Jiang, Xin Gai, Miriam M. Treggiari, William W. Stead, Yuankang Zhao, C. David Page, Anru R. Zhang
Soft phenotyping for sepsis via EHR time-aware soft clustering. J. Biomed. Informatics 152 (2024)
Yuetian Luo, Xudong Li, Anru R. Zhang
On Geometric Connections of Embedded and Quotient Geometries in Riemannian Fixed-Rank Matrix Optimization. Math. Oper. Res. 49 (2) (2024)
Runshi Tang, Ming Yuan, Anru R. Zhang
Mode-wise Principal Subspace Pursuit and Matrix Spiked Covariance Model. CoRR (2023)
Chengzhuo Ni, Yaqi Duan, Munther Dahleh, Mengdi Wang, Anru R. Zhang
Learning Good State and Action Representations for Markov Decision Process via Tensor Decomposition. J. Mach. Learn. Res. 24 (2023)
Jiashun Jin, Zheng Tracy Ke, Paxton Turner, Anru R. Zhang
Phase transition for detecting a small community in a large network. CoRR (2023)
Muhang Tian, Bernie Chen, Allan Guo, Shiyi Jiang, Anru R. Zhang
Fast and Reliable Generation of EHR Time Series via Diffusion Models. CoRR (2023)
Sitan Chen, Jerry Li, Yuanzhi Li, Anru R. Zhang
Learning Polynomial Transformations via Generalized Tensor Decompositions. STOC (2023)
Ziang Chen, Jianfeng Lu, Anru R. Zhang
One-dimensional Tensor Network Recovery. CoRR (2022)
Yuetian Luo, Anru R. Zhang
Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their Interplay. CoRR (2022)
Yuetian Luo, Qin Ma, Chi Zhang, Anru R. Zhang
. ICASSP (2022)
T. Tony Cai, Anru R. Zhang, Yuchen Zhou
Sparse Group Lasso: Optimal Sample Complexity, Convergence Rate, and Statistical Inference. IEEE Trans. Inf. Theory 68 (9) (2022)
Sitan Chen, Sinho Chewi, Jerry Li, Yuanzhi Li, Adil Salim, Anru R. Zhang
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions. CoRR (2022)
Chenyin Gao, Shu Yang, Anru R. Zhang
Self-supervised Denoising via Low-rank Tensor Approximated Convolutional Neural Network. CoRR (2022)
Sitan Chen, Jerry Li, Yuanzhi Li, Anru R. Zhang
Learning Polynomial Transformations. CoRR (2022)
Yuchen Zhou, Anru R. Zhang, Lili Zheng, Yazhen Wang
Optimal High-Order Tensor SVD via Tensor-Train Orthogonal Iteration. IEEE Trans. Inf. Theory 68 (6) (2022)
Yuetian Luo, Xudong Li, Anru R. Zhang
On Geometric Connections of Embedded and Quotient Geometries in Riemannian Fixed-rank Matrix Optimization. CoRR (2021)
Yuetian Luo, Xudong Li, Anru R. Zhang
Nonconvex Factorization and Manifold Formulations are Almost Equivalent in Low-rank Matrix Optimization. CoRR (2021)
Chengzhuo Ni, Anru R. Zhang, Yaqi Duan, Mengdi Wang
Learning Good State and Action Representations via Tensor Decomposition. ISIT (2021)
Yuetian Luo, Anru R. Zhang
Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence. CoRR (2021)
Yuetian Luo, Garvesh Raskutti, Ming Yuan, Anru R. Zhang
A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration. J. Mach. Learn. Res. 22 (2021)
Yuetian Luo, Anru R. Zhang
A Schatten-q Matrix Perturbation Theory via Perturbation Projection Error Bound. CoRR (2020)
Yuetian Luo, Wen Huang, Xudong Li, Anru R. Zhang
Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-order Convergence. CoRR (2020)
Yuetian Luo, Anru R. Zhang
Open Problem: Average-Case Hardness of Hypergraphic Planted Clique Detection. COLT (2020)
Botao Hao, Anru R. Zhang, Guang Cheng
Sparse and Low-rank Tensor Estimation via Cubic Sketchings. AISTATS (2020)
Yuetian Luo, Garvesh Raskutti, Ming Yuan, Anru R. Zhang
A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration. CoRR (2020)
Yuetian Luo, Anru R. Zhang
Open Problem: Average-Case Hardness of Hypergraphic Planted Clique Detection. CoRR (2020)
Dong Xia, Anru R. Zhang, Yuchen Zhou
Inference for Low-rank Tensors - No Need to Debias. CoRR (2020)
Anru R. Zhang, Yuetian Luo, Garvesh Raskutti, Ming Yuan
ISLET: Fast and Optimal Low-Rank Tensor Regression via Importance Sketching. SIAM J. Math. Data Sci. 2 (2) (2020)
Yuchen Zhou, Anru R. Zhang, Lili Zheng, Yazhen Wang
Optimal High-order Tensor SVD via Tensor-Train Orthogonal Iteration. CoRR (2020)