Anru Zhang - RankMe

28 papers A* 4Journal 24

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