RENNIE J D M, SREBRO N. Fast Maximum Margin Matrix Factorization for Collaborative Prediction[C]//ICML'05: Proceedings of the 22nd International Conference on Machine Learning. New York: Association for Computing Machinery, 2005: 713-719.
KOREN Y. Factorization Meets the Neighborhood: a Multifaceted Collaborative Filtering Model[C]//KDD'08: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York: Association for Computing Machinery, 2008: 426-434.
LI X H, WANG Z, GAO C, et al. Reasoning Human Emotional Responses from Large-Scale Social and Public Media[J]. Applied Mathematics and Computation, 2017, 310: 182-193. doi: 10.1016/j.amc.2017.03.031
PENG X, TANG H J, ZHANG L, et al. A Unified Framework for Representation-Based Subspace Clustering of Out-of-Sample and Large-Scale Data[J]. IEEE Transactions on Neural Networks and Learning Systems, 2016, 27(12): 2499-2512. doi: 10.1109/TNNLS.2015.2490080
LIU Y, NIE F P, GAO Q X. Nuclear-Norm Based Semi-Supervised Multiple Labels Learning[J]. Neurocomputing, 2018, 275: 940-947. doi: 10.1016/j.neucom.2017.09.039
LIU Y, GAO Q X, LI J, et al. Zero Shot Learning via Low-Rank Embedded Semantic AutoEncoder[C]//Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2018: 2490-2496.
RECHT B, FAZEL M, PARRILO P A. Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization[J]. SIAM Review, 2010, 52(3): 471-501. doi: 10.1137/070697835
CANDÈS E J, RECHT B. Exact Matrix Completion via Convex Optimization[J]. Foundations of Computational Mathematics, 2009, 9(6): 717-772. doi: 10.1007/s10208-009-9045-5
FAZEL M. Matrix Rank Minimization with Applications[D]. Stanford: Stanford University, 2002.
CAI J F, CANDÈS E J, SHEN Z W. A Singular Value Thresholding Algorithm for Matrix Completion[J]. SIAM Journal on Optimization, 2010, 20(4): 1956-1982. doi: 10.1137/080738970
TOH K C, YUN S. An Accelerated Proximal Gradient Algorithm for Nuclear Norm Regularized Linear Least Squares Problems[J]. Pacific Journal of Optimization, 2010, 6(3): 615-640.
MA S Q, GOLDFARB D, CHEN L F. Fixed Point and Bregman Iterative Methods for Matrix Rank Minimization[J]. Mathematical Programming, 2011, 128(1-2): 321-353. doi: 10.1007/s10107-009-0306-5
MAZUMDER R, HASTIE T, TIBSHIRANI R. Spectral Regularization Algorithms for Learning Large Incomplete Matrices[J]. Journal of Machine Learning Research, 2010, 11: 2287-2322.
YAO Q M, KWOK J T. Accelerated inexact Soft-Impute for Fast Large-Scale Matrix Completion[C] // Proceedings of the International Joint Conference on Artificial Intelligence. New York: IEEE Computer Society Press: 4002-4008.
FAN J Q, LI R Z. Variable Selection via Nonconcave Penalized Likelihood and Its Oracle Properties[J]. Journal of the American Statistical Association, 2001, 96(456): 1348-1360. doi: 10.1198/016214501753382273
ZHANG T Z. Analysis of Multi-Stage Convex Relaxation for Sparse Regularization[J]. Journal of Machine Learning Research, 2010, 11(3): 1081-1107.
HU Y, ZHANG D B, YE J P, et al. Fast and Accurate Matrix Completion via Truncated Nuclear Norm Regularization[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35(9): 2117-2130. doi: 10.1109/TPAMI.2012.271
ZHANG C H. Nearly Unbiased Variable Selection under Minimax Concave Penalty[J]. The Annals of Statistics, 2010, 38(2): 894-942.
PENG D T, XIU N H, YU J. S1/2 Regularization Methods and Fixed Point Algorithms for Affine Rank Minimization Problems[J]. Computational Optimization and Applications, 2017, 67(3): 543-569. doi: 10.1007/s10589-017-9898-5
WANG Z, WANG W D, WANG J J, et al. Fast and Efficient Algorithm for Matrix Completion via Closed-Form 2/3-Thresholding Operator[J]. Neurocomputing, 2019, 330: 212-222. doi: 10.1016/j.neucom.2018.10.065
GU S H, XIE Q, MENG D Y, et al. Weighted Nuclear Norm Minimization and Its Applications to Low Level Vision[J]. International Journal of Computer Vision, 2017, 121(2): 183-208. doi: 10.1007/s11263-016-0930-5
YAO Q M, KWOK J T. Accelerated and Inexact Soft-Impute for Large-Scale Matrix and Tensor Completion[J]. IEEE Transactions on Knowledge and Data Engineering, 2019, 31(9): 1665-1679. doi: 10.1109/TKDE.2018.2867533