Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions

23 February 2011

Papers citing "Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions"

43 / 43 papers shown

Title
Transfer Learning for High-dimensional Reduced Rank Time Series Models Mingliang Ma Abolfazl Safikhani AI4TS 47 0 0 22 Apr 2025
Computational and Statistical Guarantees for Tensor-on-Tensor Regression with Tensor Train Decomposition Zhen Qin Zhihui Zhu 74 4 0 10 Jun 2024
Multiclass Classification Procedure for Detecting Attacks on MQTT-IoT Protocol H. Alaiz-Moretón José Aveleira-Mata Jorge Ondicol-Garcia Á. L. M. Castañeda Isaías García Carmen Benavides 27 102 0 05 Feb 2024
Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their Interplay Yuetian Luo Anru R. Zhang 35 19 0 17 Jun 2022
Robust Matrix Completion with Heavy-tailed Noise Bingyan Wang Jianqing Fan 21 4 0 09 Jun 2022
Classification of high-dimensional data with spiked covariance matrix structure Yin-Jen Chen M. Tang 66 0 0 05 Oct 2021
Learning Gaussian Graphical Models with Latent Confounders Ke Wang Alexander M. Franks Sang-Yun Oh CML 32 2 0 14 May 2021
Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings Kan Xu Xuanyi Zhao Hamsa Bastani Osbert Bastani 33 6 0 18 Apr 2021
Matrix optimization based Euclidean embedding with outliers Qian Zhang Xinyuan Zhao Chao Ding 36 2 0 23 Dec 2020
Transfer Learning for High-dimensional Linear Regression: Prediction, Estimation, and Minimax Optimality Sai Li T. Tony Cai Hongzhe Li 46 157 0 18 Jun 2020
Stacking Models for Nearly Optimal Link Prediction in Complex Networks Amir Ghasemian Homa Hosseinmardi Aram Galstyan E. Airoldi A. Clauset 23 128 0 17 Sep 2019
A Review of Modularization Techniques in Artificial Neural Networks Mohammed Amer Tomás Maul 26 80 0 29 Apr 2019
Multi-output Bus Travel Time Prediction with Convolutional LSTM Neural Network N. Petersen Filipe Rodrigues Francisco Câmara Pereira AI4TS 13 220 0 07 Mar 2019
Deep learning in bioinformatics: introduction, application, and perspective in big data era Yu Li Chao Huang Lizhong Ding Zhongxiao Li Yijie Pan Xin Gao AI4CE 29 295 0 28 Feb 2019
Veridical Data Science Bin Yu Karl Kumbier 23 162 0 23 Jan 2019
Blind Community Detection from Low-rank Excitations of a Graph Filter Hoi-To Wai Santiago Segarra Asuman E. Ozdaglar Anna Scaglione Ali Jadbabaie 16 44 0 05 Sep 2018
One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks Sergi Valverde Mostafa Salem Mariano Cabezas D. Pareto J. Vilanova L. Ramió-Torrentá À. Rovira J. Salvi A. Oliver Xavier Llado 27 136 0 31 May 2018
Focal onset seizure prediction using convolutional networks Haidar Khan L. Marcuse M. Fields K. Swann B. Yener 19 252 0 29 May 2018
Segmentation of histological images and fibrosis identification with a convolutional neural network Xiaohang Fu Tong Liu Zhaohan Xiong B. Smaill M. Stiles Jichao Zhao 30 41 0 20 Mar 2018
Deep generative models of genetic variation capture mutation effects Adam J. Riesselman John Ingraham D. Marks DRL BDL 21 23 0 18 Dec 2017
Discriminant analysis in small and large dimensions Taras Bodnar S. Mazur E. Ngailo Nestor Parolya 23 7 0 08 May 2017
Balanced Excitation and Inhibition are Required for High-Capacity, Noise-Robust Neuronal Selectivity Ran Rubin L. F. Abbott H. Sompolinsky 18 106 0 03 May 2017
Improving Neural Network Generalization by Combining Parallel Circuits with Dropout Kien Tuong Phan Tomas Henrique Maul T. Vu W. Lai AI4CE ODL 20 6 0 15 Dec 2016
Dynamic matrix recovery from incomplete observations under an exact low-rank constraint Liangbei Xu Mark A. Davenport 15 26 0 28 Oct 2016
Low-rank diffusion matrix estimation for high-dimensional time-changed Lévy processes Denis Belomestny Mathias Trabs 33 12 0 15 Oct 2015
Robust Reduced Rank Regression Yiyuan She Kun Chen 27 58 0 14 Sep 2015
Interpolating Convex and Non-Convex Tensor Decompositions via the Subspace Norm Qinqing Zheng Ryota Tomioka 31 12 0 18 Mar 2015
Asymptotics of Empirical Eigen-structure for Ultra-high Dimensional Spiked Covariance Model Jianqing Fan Weichen Wang 31 42 0 16 Feb 2015
Computational and Statistical Boundaries for Submatrix Localization in a Large Noisy Matrix T. Tony Cai Tengyuan Liang Alexander Rakhlin 40 61 0 06 Feb 2015
Adaptive Stochastic Gradient Descent on the Grassmannian for Robust Low-Rank Subspace Recovery and Clustering Jun He Yue Zhang 35 8 0 12 Dec 2014
Non-convex Robust PCA Praneeth Netrapalli U. Niranjan Sujay Sanghavi Anima Anandkumar Prateek Jain 53 284 0 28 Oct 2014
Structured Low-Rank Matrix Factorization with Missing and Grossly Corrupted Observations Fanhua Shang Yuanyuan Liu Hanghang Tong James Cheng Hong Cheng 20 3 0 03 Sep 2014
Exact and Asymptotic Tests on a Factor Model in Low and Large Dimensions with Applications Taras Bodnar M. Reiß 39 16 0 02 Jul 2014
Statistical inference based on robust low-rank data matrix approximation Xingdong Feng Xuming He 26 4 0 27 Feb 2014
Challenges of Big Data Analysis Jianqing Fan Fang Han Han Liu 74 1,278 0 07 Aug 2013
Provable Inductive Matrix Completion Prateek Jain Inderjit S. Dhillon 44 171 0 04 Jun 2013
Convex Tensor Decomposition via Structured Schatten Norm Regularization Ryota Tomioka Taiji Suzuki 33 152 0 26 Mar 2013
Discussion: Latent variable graphical model selection via convex optimization Martin J. Wainwright 48 8 0 05 Nov 2012
Learning a Common Substructure of Multiple Graphical Gaussian Models Satoshi Hara Takashi Washio CML 63 32 0 01 Mar 2012
Robust Lasso with missing and grossly corrupted observations Nam H. Nguyen T. Tran 75 156 0 02 Dec 2011
Group Lasso with Overlaps: the Latent Group Lasso approach G. Obozinski Laurent Jacob Jean-Philippe Vert 94 181 0 03 Oct 2011
Compressed Sensing and Matrix Completion with Constant Proportion of Corruptions Xiaodong Li 73 179 0 06 Apr 2011
Restricted strong convexity and weighted matrix completion: Optimal bounds with noise S. Negahban Martin J. Wainwright 65 520 0 10 Sep 2010