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ESOP
2011
Springer
12 years 11 months ago
Measure Transformer Semantics for Bayesian Machine Learning
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Johannes Borgström, Andrew D. Gordon, Michael...
PLDI
2005
ACM
14 years 28 days ago
Automatic pool allocation: improving performance by controlling data structure layout in the heap
This paper describes Automatic Pool Allocation, a transformation framework that segregates distinct instances of heap-based data structures into seperate memory pools and allows h...
Chris Lattner, Vikram S. Adve
POPL
2004
ACM
14 years 7 months ago
Symbolic transfer function-based approaches to certified compilation
We present a framework for the certification of compilation and of compiled programs. Our approach uses a symbolic transfer functions-based representation of programs, so as to ch...
Xavier Rival
PLPV
2009
ACM
14 years 4 months ago
Embedding a logical theory of constructions in Agda
We propose a new way to reason about general recursive functional programs in the dependently typed programming language Agda, which is based on Martin-L¨of’s intuitionistic ty...
Ana Bove, Peter Dybjer, Andrés Sicard-Ram&i...
POPL
1989
ACM
13 years 11 months ago
How to Make ad-hoc Polymorphism Less ad-hoc
raction that a programming language provides influences the structure and algorithmic complexity of the resulting programs: just imagine creating an artificial intelligence engine ...
Philip Wadler, Stephen Blott