This is a slightly extended abstract of my talk at FSCD\u2719 about probabilistic programming and a few semantic issues on it. The main purpose of this abstract is to provide keywords and references on the work mentioned in my talk, and help interested audience to do follow-up study
Probabilistic programming is an emerging subfield of AI that extends traditional programming languag...
The book is a focused survey on probabilistic program semantics, conceived to tell a coherent story ...
Probabilistic programming has many applications in statistics, physics, ... so that all programming ...
Probabilistic programming refers to the idea of using standard programming constructs for specifying...
A multitude of different probabilistic programming languages exists today, all extending a tradition...
A multitude of different probabilistic programming languages exists to-day, all extending a traditio...
Probabilistic programs combine the power of programming languages with that of probabilistic graphic...
Probabilistic logic programming has a long tradition dating back at least to the seminal works of Da...
A multitude of different probabilistic programming languages exists today, all extending a tradition...
Recently, there has been a lot of attention for statistical relational learning and probabilistic pr...
Recently, there has been a lot of attention for statistical relational learning and probabilistic pr...
Probabilistic Logic Programming extends Logic Programming by enabling the representation of uncertai...
Abstract Invited TalkProbabilistic logic programs combine the power of a programming language with a...
The aims of these lecture notes are two-fold: (i) we investigate the relation between the operationa...
Recently, there has been a lot of attention for statistical relational learning and probabilistic pr...
Probabilistic programming is an emerging subfield of AI that extends traditional programming languag...
The book is a focused survey on probabilistic program semantics, conceived to tell a coherent story ...
Probabilistic programming has many applications in statistics, physics, ... so that all programming ...
Probabilistic programming refers to the idea of using standard programming constructs for specifying...
A multitude of different probabilistic programming languages exists today, all extending a tradition...
A multitude of different probabilistic programming languages exists to-day, all extending a traditio...
Probabilistic programs combine the power of programming languages with that of probabilistic graphic...
Probabilistic logic programming has a long tradition dating back at least to the seminal works of Da...
A multitude of different probabilistic programming languages exists today, all extending a tradition...
Recently, there has been a lot of attention for statistical relational learning and probabilistic pr...
Recently, there has been a lot of attention for statistical relational learning and probabilistic pr...
Probabilistic Logic Programming extends Logic Programming by enabling the representation of uncertai...
Abstract Invited TalkProbabilistic logic programs combine the power of a programming language with a...
The aims of these lecture notes are two-fold: (i) we investigate the relation between the operationa...
Recently, there has been a lot of attention for statistical relational learning and probabilistic pr...
Probabilistic programming is an emerging subfield of AI that extends traditional programming languag...
The book is a focused survey on probabilistic program semantics, conceived to tell a coherent story ...
Probabilistic programming has many applications in statistics, physics, ... so that all programming ...
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