default search action
Anru Zhang
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j20]Yuetian Luo, Wen Huang
, Xudong Li
Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-Order Convergence. Oper. Res. 72(1): 237-256 (2024) - [j19]Muhang Tian, Bernie Chen, Allan Guo, Shiyi Jiang
Reliable generation of privacy-preserving synthetic electronic health record time series via diffusion models. J. Am. Medical Informatics Assoc. 31(11): 2529-2539 (2024) - [j18]Shiyi Jiang
Soft phenotyping for sepsis via EHR time-aware soft clustering. J. Biomed. Informatics 152: 104615 (2024) - [j17]Yuetian Luo, Xudong Li
On Geometric Connections of Embedded and Quotient Geometries in Riemannian Fixed-Rank Matrix Optimization. Math. Oper. Res. 49(2): 782-825 (2024) - [j16]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): 107-127 (2024) - [j15]Ziang Chen
One-Dimensional Tensor Network Recovery. SIAM J. Matrix Anal. Appl. 45(3): 1217-1244 (2024) - [i33]Brett W. Larsen, Tamara G. Kolda, Anru R. Zhang, Alex H. Williams:
Tensor Decomposition Meets RKHS: Efficient Algorithms for Smooth and Misaligned Data. CoRR abs/2408.05677 (2024) - [i32]Runshi Tang, Tamara G. Kolda, Anru R. Zhang:
Tensor Decomposition with Unaligned Observations. CoRR abs/2410.14046 (2024) - 2023
- [j14]Chengzhuo Ni, Yaqi Duan, Munther A. Dahleh, Mengdi Wang, Anru R. Zhang:
Learning Good State and Action Representations for Markov Decision Process via Tensor Decomposition. J. Mach. Learn. Res. 24: 115:1-115:53 (2023) - [j13]Yuetian Luo, Anru R. Zhang:
Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence. J. Mach. Learn. Res. 24: 381:1-381:48 (2023) - [c9]Ilias Diakonikolas, Daniel M. Kane, Yuetian Luo, Anru Zhang:
Statistical and Computational Limits for Tensor-on-Tensor Association Detection. COLT 2023: 5260-5310 - [c8]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 - [c7]Jiashun Jin, Zheng Tracy Ke, Paxton Turner, Anru Zhang:
Phase transition for detecting a small community in a large network. ICLR 2023 - [c6]Sitan Chen, Jerry Li, Yuanzhi Li, Anru R. Zhang:
Learning Polynomial Transformations via Generalized Tensor Decompositions. STOC 2023: 1671-1684 - [i31]Jiashun Jin, Zheng Tracy Ke, Paxton Turner, Anru R. Zhang:
Phase transition for detecting a small community in a large network. CoRR abs/2303.05024 (2023) - [i30]Runshi Tang, Ming Yuan, Anru R. Zhang:
Mode-wise Principal Subspace Pursuit and Matrix Spiked Covariance Model. CoRR abs/2307.00575 (2023) - [i29]Muhang Tian, Bernie Chen, Allan Guo, Shiyi Jiang, Anru R. Zhang:
Fast and Reliable Generation of EHR Time Series via Diffusion Models. CoRR abs/2310.15290 (2023) - 2022
- [j12]Ziwei Zhu
Learning Markov Models Via Low-Rank Optimization. Oper. Res. 70(4): 2384-2398 (2022) - [j11]Yuchen Zhou
Optimal High-Order Tensor SVD via Tensor-Train Orthogonal Iteration. IEEE Trans. Inf. Theory 68(6): 3991-4019 (2022) - [j10]T. Tony Cai, Anru R. Zhang
Sparse Group Lasso: Optimal Sample Complexity, Convergence Rate, and Statistical Inference. IEEE Trans. Inf. Theory 68(9): 5975-6002 (2022) - [c5]Yuetian Luo, Qin Ma
Provable Second-Order Riemannian Gauss-Newton Method for Low-Rank Tensor Estimation ‖. ICASSP 2022: 9057-9061 - [i28]Sitan Chen, Jerry Li, Yuanzhi Li, Anru R. Zhang:
Learning Polynomial Transformations. CoRR abs/2204.04209 (2022) - [i27]Yuetian Luo, Anru R. Zhang:
Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their Interplay. CoRR abs/2206.08756 (2022) - [i26]Ziang Chen, Jianfeng Lu, Anru R. Zhang:
One-dimensional Tensor Network Recovery. CoRR abs/2207.10665 (2022) - [i25]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 abs/2209.11215 (2022) - [i24]Chenyin Gao, Shu Yang, Anru R. Zhang:
Self-supervised Denoising via Low-rank Tensor Approximated Convolutional Neural Network. CoRR abs/2209.12715 (2022) - 2021
- [j9]Yuetian Luo, Garvesh Raskutti, Ming Yuan, Anru R. Zhang:
A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration. J. Mach. Learn. Res. 22: 179:1-179:48 (2021) - [c4]Chengzhuo Ni, Anru R. Zhang, Yaqi Duan, Mengdi Wang
Learning Good State and Action Representations via Tensor Decomposition. ISIT 2021: 1682-1687 - [i23]Yuetian Luo, Anru R. Zhang:
Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence. CoRR abs/2104.12031 (2021) - [i22]Chengzhuo Ni, Anru Zhang, Yaqi Duan, Mengdi Wang:
Learning Good State and Action Representations via Tensor Decomposition. CoRR abs/2105.01136 (2021) - [i21]Yuetian Luo, Xudong Li, Anru R. Zhang:
Nonconvex Factorization and Manifold Formulations are Almost Equivalent in Low-rank Matrix Optimization. CoRR abs/2108.01772 (2021) - [i20]Yuetian Luo, Xudong Li, Anru R. Zhang:
On Geometric Connections of Embedded and Quotient Geometries in Riemannian Fixed-rank Matrix Optimization. CoRR abs/2110.12121 (2021) - 2020
- [j8]Anru R. Zhang
ISLET: Fast and Optimal Low-Rank Tensor Regression via Importance Sketching. SIAM J. Math. Data Sci. 2(2): 444-479 (2020) - [j7]Anru Zhang
Spectral State Compression of Markov Processes. IEEE Trans. Inf. Theory 66(5): 3202-3231 (2020) - [j6]Botao Hao, Anru Zhang
Sparse and Low-Rank Tensor Estimation via Cubic Sketchings. IEEE Trans. Inf. Theory 66(9): 5927-5964 (2020) - [c3]Botao Hao, Anru R. Zhang, Guang Cheng:
Sparse and Low-rank Tensor Estimation via Cubic Sketchings. AISTATS 2020: 1319-1330 - [c2]Yuetian Luo, Anru R. Zhang:
Open Problem: Average-Case Hardness of Hypergraphic Planted Clique Detection. COLT 2020: 3852-3856 - [i19]Rungang Han, Rebecca Willett, Anru Zhang:
An Optimal Statistical and Computational Framework for Generalized Tensor Estimation. CoRR abs/2002.11255 (2020) - [i18]Yuetian Luo, Anru Zhang:
Tensor Clustering with Planted Structures: Statistical Optimality and Computational Limits. CoRR abs/2005.10743 (2020) - [i17]Yuetian Luo, Anru R. Zhang:
A Schatten-q Matrix Perturbation Theory via Perturbation Projection Error Bound. CoRR abs/2008.01312 (2020) - [i16]Yuetian Luo, Garvesh Raskutti, Ming Yuan, Anru R. Zhang:
A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration. CoRR abs/2008.02437 (2020) - [i15]Yuetian Luo, Anru R. Zhang:
Open Problem: Average-Case Hardness of Hypergraphic Planted Clique Detection. CoRR abs/2009.05870 (2020) - [i14]Yuchen Zhou, Anru R. Zhang, Lili Zheng, Yazhen Wang:
Optimal High-order Tensor SVD via Tensor-Train Orthogonal Iteration. CoRR abs/2010.02482 (2020) - [i13]Yuetian Luo, Wen Huang, Xudong Li, Anru R. Zhang:
Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-order Convergence. CoRR abs/2011.08360 (2020) - [i12]Dong Xia, Anru R. Zhang, Yuchen Zhou:
Inference for Low-rank Tensors - No Need to Debias. CoRR abs/2012.14844 (2020)
2010 – 2019
- 2019
- [i11]T. Tony Cai, Anru Zhang, Yuchen Zhou:
Sparse Group Lasso: Optimal Sample Complexity, Convergence Rate, and Statistical Inference. CoRR abs/1909.09851 (2019) - [i10]Anru Zhang, Yuetian Luo, Garvesh Raskutti, Ming Yuan:
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching. CoRR abs/1911.03804 (2019) - 2018
- [j5]Anru Zhang
Tensor SVD: Statistical and Computational Limits. IEEE Trans. Inf. Theory 64(11): 7311-7338 (2018) - [c1]Xudong Li, Mengdi Wang, Anru Zhang:
Estimation of Markov Chain via Rank-constrained Likelihood. ICML 2018: 3039-3048 - [i9]Anru Zhang, Mengdi Wang:
State Compression of Markov Processes via Empirical Low-Rank Estimation. CoRR abs/1802.02920 (2018) - [i8]Xudong Li, Mengdi Wang, Anru Zhang:
Estimation of Markov Chain via Rank-constrained Likelihood. CoRR abs/1804.00795 (2018) - [i7]Anru Zhang, Yuchen Zhou:
A Non-asymptotic, Sharp, and User-friendly Reverse Chernoff-Cramèr Bound. CoRR abs/1810.09006 (2018) - 2017
- [i6]Anru Zhang, Dong Xia:
Guaranteed Tensor PCA with Optimality in Statistics and Computation. CoRR abs/1703.02724 (2017) - 2016
- [j4]T. Tony Cai, Anru Zhang:
Inference for high-dimensional differential correlation matrices. J. Multivar. Anal. 143: 107-126 (2016) - [j3]T. Tony Cai, Anru Zhang:
Minimax rate-optimal estimation of high-dimensional covariance matrices with incomplete data. J. Multivar. Anal. 150: 55-74 (2016) - [i5]Anru Zhang:
Cross: Efficient Low-rank Tensor Completion. CoRR abs/1611.01129 (2016) - 2014
- [j2]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): 122-132 (2014) - 2013
- [j1]T. Tony Cai, Anru Zhang:
Compressed Sensing and Affine Rank Minimization Under Restricted Isometry. IEEE Trans. Signal Process. 61(13): 3279-3290 (2013) - [i4]T. Tony Cai, Anru Zhang:
Sharp RIP Bound for Sparse Signal and Low-Rank Matrix Recovery. CoRR abs/1302.1236 (2013) - [i3]T. Tony Cai, Anru Zhang:
Compressed Sensing and Affine Rank Minimization under Restricted Isometry. CoRR abs/1304.3531 (2013) - [i2]T. Tony Cai, Anru Zhang:
Sparse Representation of a Polytope and Recovery of Sparse Signals and Low-rank Matrices. CoRR abs/1306.1154 (2013) - [i1]T. Tony Cai, Anru Zhang:
ROP: Matrix Recovery via Rank-One Projections. CoRR abs/1310.5791 (2013)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
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 .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional 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 information given by OpenAlex.
last updated on 2024-12-03 21:22 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: