Non-Convex Projected Gradient Descent for Generalized Low-Rank Tensor Regression

30 November 2016

Papers citing "Non-Convex Projected Gradient Descent for Generalized Low-Rank Tensor Regression"

12 / 12 papers shown

Title
COAP: Memory-Efficient Training with Correlation-Aware Gradient Projection Jinqi Xiao S. Sang Tiancheng Zhi Jing Liu Qing Yan Linjie Luo Bo Yuan Bo Yuan VLM 160 2 0 26 Nov 2024
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching Anru R. Zhang Yuetian Luo Garvesh Raskutti M. Yuan 171 44 0 09 Nov 2019
Structured Sparse Regression via Greedy Hard-Thresholding Prateek Jain Nikhil S. Rao Inderjit Dhillon 49 42 0 19 Feb 2016
Convex Regularization for High-Dimensional Multi-Response Tensor Regression Garvesh Raskutti M. Yuan Han Chen 49 93 0 03 Dec 2015
Estimation with Norm Regularization A. Banerjee Sheng Chen F. Fazayeli V. Sivakumar 73 63 0 09 May 2015
On Iterative Hard Thresholding Methods for High-dimensional M-Estimation Prateek Jain Ambuj Tewari Purushottam Kar 151 232 0 20 Oct 2014
On Tensor Completion via Nuclear Norm Minimization M. Yuan Cun-Hui Zhang 82 254 0 07 May 2014
Regularized estimation in sparse high-dimensional time series models Sumanta Basu George Michailidis AI4TS 116 425 0 17 Nov 2013
Square Deal: Lower Bounds and Improved Relaxations for Tensor Recovery Cun Mu Bo Huang John N. Wright D. Goldfarb 180 308 0 22 Jul 2013
Tensor-based formulation and nuclear norm regularization for multi-energy computed tomography O. Semerci Ning Hao M. Kilmer Eric L. Miller MedIm 75 353 0 19 Jul 2013
Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima Po-Ling Loh Martin J. Wainwright 294 517 0 10 May 2013
A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers S. Negahban Pradeep Ravikumar Martin J. Wainwright Bin Yu 474 1,379 0 13 Oct 2010