Anru Zhang

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 22

Top Topics

Constrained Least Squares

Tensor Decomposition

Top Venues

IEEE Trans. Inf. Theory

Publications

Yuetian Luo, Wen Huang, Xudong Li, Anru Zhang
Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-Order Convergence. Oper. Res. 72 (1) (2024)
Ziang Chen, Jianfeng Lu, Anru Zhang
One-Dimensional Tensor Network Recovery. SIAM J. Matrix Anal. Appl. 45 (3) (2024)
Jiashun Jin, Zheng Tracy Ke, Paxton Turner, Anru Zhang
Phase transition for detecting a small community in a large network. ICLR (2023)
Ilias Diakonikolas, Daniel M. Kane, Yuetian Luo, Anru Zhang
Statistical and Computational Limits for Tensor-on-Tensor Association Detection. COLT (2023)
Sitan Chen, Sinho Chewi, Jerry Li, Yuanzhi Li, Adil Salim, Anru Zhang
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions. ICLR (2023)
Ziwei Zhu, Xudong Li, Mengdi Wang, Anru Zhang
Learning Markov Models Via Low-Rank Optimization. Oper. Res. 70 (4) (2022)
Chengzhuo Ni, Anru Zhang, Yaqi Duan, Mengdi Wang
Learning Good State and Action Representations via Tensor Decomposition. CoRR (2021)
Rungang Han, Rebecca Willett, Anru Zhang
An Optimal Statistical and Computational Framework for Generalized Tensor Estimation. CoRR (2020)
Yuetian Luo, Anru Zhang
Tensor Clustering with Planted Structures: Statistical Optimality and Computational Limits. CoRR (2020)
Anru Zhang, Mengdi Wang
Spectral State Compression of Markov Processes. IEEE Trans. Inf. Theory 66 (5) (2020)
Botao Hao, Anru Zhang, Guang Cheng
Sparse and Low-Rank Tensor Estimation via Cubic Sketchings. IEEE Trans. Inf. Theory 66 (9) (2020)
Anru Zhang, Yuetian Luo, Garvesh Raskutti, Ming Yuan
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching. CoRR (2019)
T. Tony Cai, Anru Zhang, Yuchen Zhou
Sparse Group Lasso: Optimal Sample Complexity, Convergence Rate, and Statistical Inference. CoRR (2019)
Xudong Li, Mengdi Wang, Anru Zhang
Estimation of Markov Chain via Rank-constrained Likelihood. CoRR (2018)
Anru Zhang, Mengdi Wang
State Compression of Markov Processes via Empirical Low-Rank Estimation. CoRR (2018)
Xudong Li, Mengdi Wang, Anru Zhang
Estimation of Markov Chain via Rank-constrained Likelihood. ICML (2018)
Anru Zhang, Dong Xia
Tensor SVD: Statistical and Computational Limits. IEEE Trans. Inf. Theory 64 (11) (2018)
Anru Zhang, Yuchen Zhou
A Non-asymptotic, Sharp, and User-friendly Reverse Chernoff-Cramèr Bound. CoRR (2018)
Anru Zhang, Dong Xia
Guaranteed Tensor PCA with Optimality in Statistics and Computation. CoRR (2017)
T. Tony Cai, Anru Zhang
Minimax rate-optimal estimation of high-dimensional covariance matrices with incomplete data. J. Multivar. Anal. 150 (2016)
T. Tony Cai, Anru Zhang
Inference for high-dimensional differential correlation matrices. J. Multivar. Anal. 143 (2016)
Anru Zhang
Cross: Efficient Low-rank Tensor Completion. CoRR (2016)
T. Tony Cai, Anru Zhang
Sparse Representation of a Polytope and Recovery of Sparse Signals and Low-Rank Matrices. IEEE Trans. Inf. Theory 60 (1) (2014)
T. Tony Cai, Anru Zhang
Sharp RIP Bound for Sparse Signal and Low-Rank Matrix Recovery CoRR (2013)
T. Tony Cai, Anru Zhang
Compressed Sensing and Affine Rank Minimization under Restricted Isometry CoRR (2013)
T. Tony Cai, Anru Zhang
Compressed Sensing and Affine Rank Minimization Under Restricted Isometry. IEEE Trans. Signal Process. 61 (13) (2013)
T. Tony Cai, Anru Zhang
Sparse Representation of a Polytope and Recovery of Sparse Signals and Low-rank Matrices. CoRR (2013)
T. Tony Cai, Anru Zhang
ROP: Matrix Recovery via Rank-One Projections. CoRR (2013)