Nonparametric bayesian matrix completion

2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2010

Volumn , Issue , 2010, Pages 213-216

  Zhou, Mingyuan ^a   Wang, Chunping ^a   Chen, Minhua ^a   Paisley, John ^a   Dunson, David ^b   Carin, Lawrence ^a  

^a Duke University   (United States)

^b DUKE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM PERFORMANCE; DATA SETS; GIBBS SAMPLING; LARGE-SCALE PROBLEM; MATRIX; MATRIX COMPLETION; MISSING VALUES; NON-PARAMETRIC BAYESIAN;

SENSOR ARRAYS;

SIGNAL PROCESSING;

EID: 78650133649     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SAM.2010.5606741     Document Type: Conference Paper

References (19)

1. N. Srebro, J. Rennie, and T. Jaakkola, "Maximum-margin matrix factorization," in Proc. Neural Information Processing Systems, 2005.
2. R. Salakhutdinov and A. Mnih, "Bayesian probabilistic matrix factorization with MCMC," in Advances in Neural Information Processing Systems, 2008.
3. - , "Probabilistic matrix factorization," in Advances in Neural Information Processing Systems, 2008.
4. N. Lawrence and R. Urtasun, "Non-lineaar matrix factorization with Gaussian processes," in Proc. Int. Conf. Machine Learning, 2009.
5. K. Yu, J. Lafferty, S. Zhu, and Y. Gong, "Large-scale collaborative prediction using a nonparametric random effects model," in Proc. Int. Conf. Machine Learning, 2009.
6. J. Abernethy, F. Bach, T. Evgeniou, and J.-P. Vert, "A new approach to collaborative filtering: operator estimation with spectral regularization," J. Machine Learning Research, 2009.
7. E. J. Candès and T. Tao, "The power of convex relaxation: Near-optimal matrix completion," IEEE Trans. Inform. Theory, 2010.
8. T. Griffiths and Z. Ghahramani, "Infinite latent feature models and the indian buffet process," in NIPS, 2005, pp. 475-482.
9. R. Thibaux and M. Jordan, "Hierarchical beta processes and the Indian buffet process," in Proc. AISTAT, 2007.
10. J. Paisley and L. Carin, "Nonparametric factor analysis with beta process priors," in Proc. Int. Conf. Machine Learning, 2009.
11. E. Meeds, Z. Ghahramani, R. Neal, and S. Roweis, "Modeling dyadic data with binary latent factors," in Neural Information Processing Systems, 2006.
12. P. Hoff, "Simulation of the matrix Bingham-von Mises-Fisher distribution, with applications to multivariate and relational data," J. Comp. Graph. Statistics, 2009.
13. Y. Teh and D. Gorur, "Indian buffet process with power-law behavior," in NIPS, 2009.
14. C. Antoniak, "Mixtures of Dirichlet processes with applications to bayesian nonparametric problems," The Annals of Statistics, no. 2, pp. 1152-1174, 1974.
15. D. Dunson and J.-H. Park, "Kernel stick-breaking processes," Biometrika, 2009.
16. J. Mairal, F. Bach, J. Ponce, and G. Sapiro, "Online dictionary learning for sparse coding," in Proc. ICML, 2009.
17. M. Zhou, H. Chen, J. Paisley, L. Ren, G. Sapiro, and L. Carin, "Nonparametric bayesian dictionary learning for sparse image representations," in NIPS, 2009.
18. B. Marlin, "Modeling user rating profiles for collaborative filtering," in NIPS, 2003.
19. D. DeCoste, "Collaborative prediction using ensembles of maximum margin matrix factorizations," in Proc. ICML, 2006.