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» Convex Factorization Machines
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ICML
2005
IEEE
14 years 11 months ago
Fast maximum margin matrix factorization for collaborative prediction
Maximum Margin Matrix Factorization (MMMF) was recently suggested (Srebro et al., 2005) as a convex, infinite dimensional alternative to low-rank approximations and standard facto...
Jason D. M. Rennie, Nathan Srebro
CORR
2008
Springer
92views Education» more  CORR 2008»
13 years 11 months ago
Convex Sparse Matrix Factorizations
We present a convex formulation of dictionary learning for sparse signal decomposition. Convexity is obtained by replacing the usual explicit upper bound on the dictionary size by...
Francis Bach, Julien Mairal, Jean Ponce
ML
2008
ACM
100views Machine Learning» more  ML 2008»
13 years 10 months ago
Convex multi-task feature learning
Andreas Argyriou, Theodoros Evgeniou, Massimiliano...

Publication
197views
12 years 6 months ago
Convex non-negative matrix factorization for massive datasets
Non-negative matrix factorization (NMF) has become a standard tool in data mining, information retrieval, and signal processing. It is used to factorize a non-negative data matrix ...
C. Thurau, K. Kersting, M. Wahabzada, and C. Bauck...