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Matrix factorization
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#	Item
21	Collaborative Topic Regression with Social Matrix Factorization for Recommendation Systems Sanjay Purushotham1 Yan Liu2 Add to Reading List Source URL: icml.cc - Date: 2012-06-07 13:20:16
22	Multiresolution Matrix Factorization Risi Kondor Nedelina Teneva Department of Computer Science, University of Chicago Vikas Garg Toyota Technological Institute Add to Reading List Source URL: people.cs.uchicago.edu - Date: 2015-03-10 23:59:27
23	Matrix Factorization and Matrix Completion Piyush Rai Machine Learning (CS771A) Sept 21, 2016 Machine Learning (CS771A) Add to Reading List Source URL: cse.iitk.ac.in - Date: 2016-11-15 11:50:22
24	Non-negative Matrix Factorization under Heavy Noise Chiranjib Bhattacharyya† CHIRU @ CSA . IISC . ERNET. IN Navin Goyal‡ NAVINGO @ MICROSOFT. COM Add to Reading List Source URL: jmlr.org - Date: 2016-10-08 19:36:35
25	When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts? David Donoho Department of Statistics Stanford University Add to Reading List Source URL: www.stanford.edu - Date: 2003-07-01 23:26:42
26	Subsampled online matrix factorization with convergence guarantees Arthur Mensch, Julien Mairal, Ga¨el Varoquaux, Bertrand Thirion To cite this version: Arthur Mensch, Julien Mairal, Ga¨el Varoquaux, Bertrand Thirion. Add to Reading List Source URL: hal.archives-ouvertes.fr - Date: 2016-12-19 02:48:11
27	Non-negative Matrix Factorization for Discrete Data with Hierarchical Side-Information Changwei Hu1 Piyush Rai12 Lawrence Carin1 Add to Reading List Source URL: www.cse.iitk.ac.in - Date: 2016-04-10 07:53:19
28	Getting to Know the Unknown Unknowns: Destructive-Noise Resistant Boolean Matrix Factorization Sanjar Karaev◦ Pauli Miettinen◦ Add to Reading List Source URL: eda.mmci.uni-saarland.de - Date: 2015-01-23 13:09:00
29	Getting to Know the Unknown Unknowns: Destructive-Noise Resistant Boolean Matrix Factorization Sanjar Karaev◦ Pauli Miettinen◦ Add to Reading List Source URL: people.mpi-inf.mpg.de - Date: 2015-03-06 10:37:43
30	MDL4BMF: Minimum Description Length for Boolean Matrix Factorization PAULI MIETTINEN, Max-Planck Institute for Informatics JILLES VREEKEN, Max-Planck Institute for Informatics, Saarland University, University of Antwerp Add to Reading List Source URL: eda.mmci.uni-saarland.de - Date: 2014-10-08 03:56:01

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