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» Linear logical approximations
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147
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ICML
2010
IEEE
15 years 4 months ago
Learning Efficiently with Approximate Inference via Dual Losses
Many structured prediction tasks involve complex models where inference is computationally intractable, but where it can be well approximated using a linear programming relaxation...
Ofer Meshi, David Sontag, Tommi Jaakkola, Amir Glo...
EOR
2008
93views more  EOR 2008»
15 years 3 months ago
Approximate methods for convex minimization problems with series-parallel structure
Consider a problem of minimizing a separable, strictly convex, monotone and differentiable function on a convex polyhedron generated by a system of m linear inequalities. The probl...
Adi Ben-Israel, Genrikh Levin, Yuri Levin, Boris R...
119
Voted
TLDI
2003
ACM
15 years 8 months ago
The logical approach to stack typing
We develop a logic for reasoning about adjacency and separation of memory blocks, as well as aliasing of pointers. We provide a memory model for our logic and present a sound set ...
Amal J. Ahmed, David Walker
CORR
2011
Springer
143views Education» more  CORR 2011»
14 years 7 months ago
Probabilistic Logic: Many-valuedness and Intensionality
The probability theory is a well-studied branch of mathematics, in order to carry out formal reasoning about probability. Thus, it is important to have a logic, both for computati...
Zoran Majkic
ICLP
2010
Springer
15 years 6 months ago
Improving the Efficiency of Gibbs Sampling for Probabilistic Logical Models by Means of Program Specialization
Abstract. There is currently a large interest in probabilistic logical models. A popular algorithm for approximate probabilistic inference with such models is Gibbs sampling. From ...
Daan Fierens