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COLT
2006
Springer
13 years 10 months ago
Unifying Divergence Minimization and Statistical Inference Via Convex Duality
Abstract. In this paper we unify divergence minimization and statistical inference by means of convex duality. In the process of doing so, we prove that the dual of approximate max...
Yasemin Altun, Alexander J. Smola
EMNLP
2010
13 years 5 months ago
Turbo Parsers: Dependency Parsing by Approximate Variational Inference
We present a unified view of two state-of-theart non-projective dependency parsers, both approximate: the loopy belief propagation parser of Smith and Eisner (2008) and the relaxe...
André F. T. Martins, Noah A. Smith, Eric P....
CORR
2006
Springer
172views Education» more  CORR 2006»
13 years 7 months ago
Approximate Convex Optimization by Online Game Playing
This paper describes a general framework for converting online game playing algorithms into constrained convex optimization algorithms. This framework allows us to convert the wel...
Elad Hazan
BMCBI
2004
154views more  BMCBI 2004»
13 years 7 months ago
Computation of elementary modes: a unifying framework and the new binary approach
Background: Metabolic pathway analysis has been recognized as a central approach to the structural analysis of metabolic networks. The concept of elementary (flux) modes provides ...
Julien Gagneur, Steffen Klamt
ICIP
2000
IEEE
14 years 8 months ago
Approximately Optimal Assignment for Unequal Loss Protection
This paper describes an algorithm that achieves an approximately optimal assignment of forward error correction to progressive data within the unequal loss protection framework [1...
Alexander E. Mohr, Richard E. Ladner, Eve A. Riski...