Bayesian programming

Bayesian programming is a formalism and a methodology to specify probabilistic models and solve problems when less than the necessary information is… (More)
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Papers overview

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2016
2016
We present PrivInfer, an expressive framework for writing and verifying differentially private Bayesian machine learning… (More)
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Highly Cited
2008
Highly Cited
2008
In a class of games known as Stackelberg games, one agent (the leader) must commit to a strategy that can be observed by the… (More)
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2008
2008
The purpose of this chapter is to introduce gently the basics concepts of Bayesian Programming. After a short formal introduction… (More)
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Highly Cited
2004
Highly Cited
2004
 
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Highly Cited
2004
Highly Cited
2004
We develop a Bayesian “sum-of-trees” model where each tree is constrained by a prior to be a weak leaner. Fitting and inference… (More)
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2003
2003
Evolve safely in an unchanged environment and possibly following an optimal trajectory is one big challenge presented by situated… (More)
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Highly Cited
2002
Highly Cited
2002
—Only recently has Bayesian inference of phylogeny been proposed. The method is now a practical alternative to the other methods… (More)
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Highly Cited
2001
Highly Cited
2001
In contrast to a posterior analysis given a particular sampling model, posterior model probabilities in the context of model… (More)
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Highly Cited
1998
Highly Cited
1998
 
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Highly Cited
1997
Highly Cited
1997
The simple Bayesian classifier is known to be optimal when attributes are independent given the class, but the question of… (More)
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