Estimation of high-dimensional low-rank matrices

29 December 2009

Papers citing "Estimation of high-dimensional low-rank matrices"

50 / 176 papers shown

Title
AltLoRA: Towards Better Gradient Approximation in Low-Rank Adaptation with Alternating Projections Xin Yu Yujia Wang Jinghui Chen Lingzhou Xue 22 0 0 18 May 2025
Computational Efficient Informative Nonignorable Matrix Completion: A Row- and Column-Wise Matrix U-Statistic Pseudo-Likelihood Approach Yuanhong A Guoyu Zhang Yongcheng Zeng Bo Zhang 37 0 0 05 Apr 2025
Meta-learning of shared linear representations beyond well-specified linear regression Mathieu Even Laurent Massoulié 44 0 0 31 Jan 2025
$Theoretical limits of descending $\ell_0$ sparse-regression ML algorithms$ Theoretical limits of descending $\ell_0$ sparse-regression ML algorithms Mihailo Stojnic 36 0 0 10 Oct 2024
$On properties of fractional posterior in generalized reduced-rank regression$ On properties of fractional posterior in generalized reduced-rank regression The Tien Mai 36 1 0 27 Apr 2024
Low solution rank of the matrix LASSO under RIP with consequences for rank-constrained algorithms Andrew D. McRae 53 1 0 19 Apr 2024
Near-Optimal differentially private low-rank trace regression with guaranteed private initialization Mengyue Zha 48 0 0 24 Mar 2024
Low-rank matrix estimation via nonconvex spectral regularized methods in errors-in-variables matrix regression Xin Li Dongya Wu 18 0 0 05 Mar 2024
Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits Kyoungseok Jang Chicheng Zhang Kwang-Sung Jun 37 2 0 17 Feb 2024
Exponentially Convergent Algorithms for Supervised Matrix Factorization Joowon Lee Hanbaek Lyu Weixin Yao 27 1 0 18 Nov 2023
Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning Austin Xu Andrew D. McRae Jingyan Wang Mark A. Davenport A. Pananjady 16 1 0 08 Sep 2023
Multi-Task Learning with Summary Statistics Parker Knight Rui Duan 44 10 0 05 Jul 2023
Computationally Efficient and Statistically Optimal Robust High-Dimensional Linear Regression Yinan Shen Jingyang Li Jian-Feng Cai Dong Xia 32 1 0 10 May 2023
Two-sided Matrix Regression Nayel Bettache C. Butucea 33 0 0 08 Mar 2023
First-order ANIL learns linear representations despite misspecified latent dimension Oğuz Kaan Yüksel Etienne Boursier Nicolas Flammarion 40 0 0 02 Mar 2023
Quantized Low-Rank Multivariate Regression with Random Dithering Junren Chen Yueqi Wang Michael Kwok-Po Ng 31 4 0 22 Feb 2023
Adversarial Online Collaborative Filtering Stephen Pasteris Fabio Vitale Mark Herbster Claudio Gentile Andre' Panisson 24 0 0 11 Feb 2023
Causal Inference (C-inf) -- asymmetric scenario of typical phase transitions A. Capponi M. Stojnic 45 4 0 02 Jan 2023
Causal Inference (C-inf) -- closed form worst case typical phase transitions A. Capponi M. Stojnic 24 2 0 02 Jan 2023
Always Valid Risk Monitoring for Online Matrix Completion ChiHua Wang Wenjie Li CLL 32 1 0 18 Nov 2022
On a low-rank matrix single index model The Tien Mai 19 1 0 17 Oct 2022
Spectrally-Corrected and Regularized Linear Discriminant Analysis for Spiked Covariance Model Hua Li Wenya Luo Z. Bai Huanchao Zhou Zhangni Pu 23 2 0 08 Oct 2022
A Unified Framework for Estimation of High-dimensional Conditional Factor Models Qihui Chen 31 1 0 01 Sep 2022
Robust Methods for High-Dimensional Linear Learning Ibrahim Merad Stéphane Gaïffas OOD 50 3 0 10 Aug 2022
Robust and Sparse Estimation of Linear Regression Coefficients with Heavy-tailed Noises and Covariates Takeyuki Sasai 26 4 0 15 Jun 2022
Hankel low-rank approximation and completion in time series analysis and forecasting: a brief review J. Gillard K. Usevich AI4TS 17 10 0 10 Jun 2022
Robust Regularized Low-Rank Matrix Models for Regression and Classification Hsin-Hsiung Huang Feng Yu Xing Fan Teng Zhang 32 1 0 14 May 2022
Matrix Completion with Heterogonous Cost Ilqar Ramazanli 13 2 0 23 Mar 2022
Trace norm regularization for multi-task learning with scarce data Etienne Boursier Mikhail Konobeev Nicolas Flammarion 19 11 0 14 Feb 2022
Rank-Constrained Least-Squares: Prediction and Inference Michael Law Yaácov Ritov Ruixiang Zhang Ziwei Zhu 29 1 0 29 Nov 2021
One-Bit Matrix Completion with Differential Privacy Zhengpin Li Zheng Wei Zengfeng Huang Xiaojun Mao Jian Wang 27 0 0 02 Oct 2021
Inference for Low-Rank Models Victor Chernozhukov Christian B. Hansen Yuan Liao Yinchu Zhu 17 11 0 06 Jul 2021
Matrix completion with data-dependent missingness probabilities Sohom Bhattacharya S. Chatterjee 26 18 0 04 Jun 2021
Adversarial Robust Low Rank Matrix Estimation: Compressed Sensing and Matrix Completion Takeyuki Sasai Hironori Fujisawa 25 0 0 25 Oct 2020
Understanding Implicit Regularization in Over-Parameterized Single Index Model Jianqing Fan Zhuoran Yang Mengxin Yu 24 16 0 16 Jul 2020
Partial Trace Regression and Low-Rank Kraus Decomposition Hachem Kadri Stéphane Ayache Riikka Huusari A. Rakotomamonjy L. Ralaivola 24 4 0 02 Jul 2020
Median Matrix Completion: from Embarrassment to Optimality Weidong Liu Xiaojun Mao Raymond K. W. Wong 18 2 0 18 Jun 2020
Estimating High-dimensional Covariance and Precision Matrices under General Missing Dependence Seongoh Park Xinlei Wang Johan Lim 15 13 0 08 Jun 2020
Adaptive Estimation in Multivariate Response Regression with Hidden Variables Xin Bing Y. Ning Yaosheng Xu 25 4 0 30 Mar 2020
Provable Meta-Learning of Linear Representations Nilesh Tripuraneni Chi Jin Michael I. Jordan OOD 19 188 0 26 Feb 2020
High-Dimensional Dynamic Systems Identification with Additional Constraints Junlin Li 27 0 0 20 Dec 2019
High Dimensional Latent Panel Quantile Regression with an Application to Asset Pricing A. Belloni Mingli Chen Oscar Hernan Madrid Padilla Zixuan Wang Wang 23 15 0 04 Dec 2019
On Universal Features for High-Dimensional Learning and Inference Shao-Lun Huang A. Makur G. Wornell Lizhong Zheng 26 53 0 20 Nov 2019
Weighted matrix completion from non-random, non-uniform sampling patterns S. Foucart Deanna Needell Reese Pathak Y. Plan Mary Wootters 19 27 0 30 Oct 2019
How well can we learn large factor models without assuming strong factors? Yinchu Zhu OOD 19 0 0 23 Oct 2019
Statistical Inferences of Linear Forms for Noisy Matrix Completion Dong Xia M. Yuan 36 41 0 31 Aug 2019
Robust high dimensional learning for Lipschitz and convex losses Geoffrey Chinot Guillaume Lecué M. Lerasle 29 18 0 10 May 2019
Square-root nuclear norm penalized estimator for panel data models with approximately low-rank unobserved heterogeneity Jad Beyhum Eric Gautier 21 10 0 19 Apr 2019
On Low-rank Trace Regression under General Sampling Distribution N. Hamidi Mohsen Bayati 24 14 0 18 Apr 2019
Binary matrix completion with nonconvex regularizers Chunsheng Liu 14 1 0 08 Apr 2019