Low-rank matrix completion via preconditioned optimization on the Grassmann manifold
暂无分享,去创建一个
[1] R. Kannan,et al. Bounded matrix factorization for recommender system , 2014, Knowledge and Information Systems.
[2] Bamdev Mishra,et al. Riemannian Preconditioning , 2014, SIAM J. Optim..
[3] Reinhold Schneider,et al. Convergence Results for Projected Line-Search Methods on Varieties of Low-Rank Matrices Via Łojasiewicz Inequality , 2014, SIAM J. Optim..
[4] Nicolas Gillis,et al. The Why and How of Nonnegative Matrix Factorization , 2014, ArXiv.
[5] Moritz Hardt,et al. Understanding Alternating Minimization for Matrix Completion , 2013, 2014 IEEE 55th Annual Symposium on Foundations of Computer Science.
[6] P. Absil,et al. Manopt, a matlab toolbox for optimization on manifolds , 2013, J. Mach. Learn. Res..
[7] Christopher Ré,et al. Parallel stochastic gradient algorithms for large-scale matrix completion , 2013, Mathematical Programming Computation.
[8] Hiroyuki Sato,et al. A new, globally convergent Riemannian conjugate gradient method , 2013, 1302.0125.
[9] S. Chatterjee,et al. Matrix estimation by Universal Singular Value Thresholding , 2012, 1212.1247.
[10] Yousef Saad,et al. Scaled Gradients on Grassmann Manifolds for Matrix Completion , 2012, NIPS.
[11] Bamdev Mishra,et al. A Riemannian geometry for low-rank matrix completion , 2012, ArXiv.
[12] Bart Vandereycken. Low-Rank Matrix Completion by Riemannian Optimization , 2012, SIAM J. Optim..
[13] Gilles Meyer,et al. Two Newton methods on the manifold of fixed-rank matrices endowed with Riemannian quotient geometries , 2012, Computational Statistics.
[14] Yin Zhang,et al. Solving a low-rank factorization model for matrix completion by a nonlinear successive over-relaxation algorithm , 2012, Mathematical Programming Computation.
[15] Pierre-Antoine Absil,et al. RTRMC: A Riemannian trust-region method for low-rank matrix completion , 2011, NIPS.
[16] Bamdev Mishra,et al. Low-Rank Optimization with Trace Norm Penalty , 2011, SIAM J. Optim..
[17] Bamdev Mishra,et al. Low-rank optimization for distance matrix completion , 2011, IEEE Conference on Decision and Control and European Control Conference.
[18] Ameet Talwalkar,et al. Divide-and-Conquer Matrix Factorization , 2011, NIPS.
[19] Silvere Bonnabel,et al. Linear Regression under Fixed-Rank Constraints: A Riemannian Approach , 2011, ICML.
[20] Nicolas Gillis,et al. Low-Rank Matrix Approximation with Weights or Missing Data Is NP-Hard , 2010, SIAM J. Matrix Anal. Appl..
[21] Robert D. Nowak,et al. Online identification and tracking of subspaces from highly incomplete information , 2010, 2010 48th Annual Allerton Conference on Communication, Control, and Computing (Allerton).
[22] Olgica Milenkovic,et al. Subspace Evolution and Transfer (SET) for Low-Rank Matrix Completion , 2010, IEEE Transactions on Signal Processing.
[23] Olgica Milenkovic,et al. A Geometric Approach to Low-Rank Matrix Completion , 2010, IEEE Transactions on Information Theory.
[24] Andrea Montanari,et al. Regularization for matrix completion , 2010, 2010 IEEE International Symposium on Information Theory.
[25] Andrea Montanari,et al. Low-rank matrix completion with noisy observations: A quantitative comparison , 2009, 2009 47th Annual Allerton Conference on Communication, Control, and Computing (Allerton).
[26] Pablo A. Parrilo,et al. Rank-Sparsity Incoherence for Matrix Decomposition , 2009, SIAM J. Optim..
[27] Andrea Montanari,et al. Matrix Completion from Noisy Entries , 2009, J. Mach. Learn. Res..
[28] Yoram Bresler,et al. ADMiRA: Atomic Decomposition for Minimum Rank Approximation , 2009, IEEE Transactions on Information Theory.
[29] Emmanuel J. Candès,et al. A Singular Value Thresholding Algorithm for Matrix Completion , 2008, SIAM J. Optim..
[30] Emmanuel J. Candès,et al. Exact Matrix Completion via Convex Optimization , 2008, Found. Comput. Math..
[31] Robert E. Mahony,et al. Optimization Algorithms on Matrix Manifolds , 2007 .
[32] Pierre-Antoine Absil,et al. Trust-Region Methods on Riemannian Manifolds , 2007, Found. Comput. Math..
[33] Jorge Nocedal,et al. Global Convergence Properties of Conjugate Gradient Methods for Optimization , 1992, SIAM J. Optim..
[34] K. Leichtweiss. Zur Riemannschen Geometrie in Grassmannschen Mannigfaltigkeiten , 1961 .
[35] D. Gleich. TRUST REGION METHODS , 2017 .
[36] Nicolas Boumal,et al. Optimization and estimation on manifolds , 2014 .
[37] Xiaoming Yuan,et al. Recovering Low-Rank and Sparse Components of Matrices from Incomplete and Noisy Observations , 2011, SIAM J. Optim..
[38] S. Yun,et al. An accelerated proximal gradient algorithm for nuclear norm regularized linear least squares problems , 2009 .
[39] James Bennett,et al. The Netflix Prize , 2007 .
[40] W. Hager,et al. A SURVEY OF NONLINEAR CONJUGATE GRADIENT METHODS , 2005 .
[41] L. Trefethen,et al. Numerical linear algebra , 1997 .
[42] W. Boothby. An introduction to differentiable manifolds and Riemannian geometry , 1975 .