On reversing Jensen's inequality

Advances in Neural Information Processing Systems

Volumn , Issue , 2001, Pages

  Jebara, Tony ^a   Pentland, Alex ^a  

^a MIT MEDIA LAB   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; INFERENCE ENGINES; MAXIMUM LIKELIHOOD;

BAYESIAN ESTIMATIONS; CONDITIONAL LIKELIHOOD; DISCRIMINATIVE LEARNING; DISCRIMINATIVE MODELS; EXPONENTIAL FAMILY DISTRIBUTIONS; JENSEN'S INEQUALITY; MATHEMATICAL TOOLS; STATISTICAL LEARNING;

BAYESIAN NETWORKS;

EID: 84898954150     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Buntine, W. (1994). Operations for learning with graphical models. JAIR 2, 1994.
2. Dempster, A.P. and Laird, N.M. and Rubin, D.B. (1977). Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society, B39.
3. Gopalakrishnan, RS. and Kanevsky, D. and Nadas, A. and Nahamoo, D. (1991). An inequality for rational functions with applications to some statistical estimation problems, IEEE Trans. Information Theory, pp. 107-113, Jan. 1991.
4. Jaakkola, T and Meila, M. and Jebara, T. (1999). Maximum entropy discrimination. NIPS 12.
5. Jebara, T and Jaakkola, T. (2000). Feature selection and dualities in maximum entropy discrimination. UAI 2000.
6. Jebara, T and Pentland, A. (1998). Maximum conditional likelihood via bound maximization and the CEM algorithm. NIPS 11.
7. Jordan, M. Gharamani, Z. Jaakkola, T and Saul, L. (1997). An introduction to variational methods for graphical models. Learning in Graphical Models, Kluwer Academic.
8. Pecaric, J.E. and Proschan, F. and Tong, Y.L. (1992). Convex Functions, Partial Orderings, and Statistical Applications. Academic Press.
9. Gharamani, Z. and Beal, M. (1999). Variational Inference for Bayesian Mixture of Factor Analysers, NIPS 12.