Add to ORKGA theory of programming is intended to aid the construction of programs that meet their specifications; for such a theory to be useful it should capture (only) the essential aspects of the program’s behaviour, that is only those aspects which one wishes to observe. And it should do so in a mathematically elegant – henc
We study a syntax for specifying quantitative assertions—functions mapping program states to numbers...
Hoare logic can be used to verify properties of deterministic programs by deriving correctness formu...
"A thesis submitted in fulfilment of the requirements for the degree of Doctor of Philosophy in the ...
A leading idea is to apply techniques from verification and programming theory to machine learning a...
The book is a focused survey on probabilistic program semantics, conceived to tell a coherent story ...
Probabilistic programs [6] are sequential programs, written in languages like C, Java, Scala, or ML,...
grantor: University of TorontoThe incorporation of probability into several theories of p...
The aims of these lecture notes are two-fold: (i) we investigate the relation between the operationa...
A multitude of different probabilistic programming languages exists to-day, all extending a traditio...
A multitude of different probabilistic programming languages exists today, all extending a tradition...
Abstraction is a fundamental tool for reasoning about a complex system. Program abstraction has been...
Probabilistic techniques in computer programs are becoming more and more widely used. Therefore, the...
AbstractThis paper presents two complementary but equivalent semantics for a high level probabilisti...
Probability, be it inherent or explicitly introduced, has become an important issue in the verificat...
Probabilistic Logic Programming extends Logic Programming by enabling the representation of uncertai...
We study a syntax for specifying quantitative assertions—functions mapping program states to numbers...
Hoare logic can be used to verify properties of deterministic programs by deriving correctness formu...
"A thesis submitted in fulfilment of the requirements for the degree of Doctor of Philosophy in the ...
A leading idea is to apply techniques from verification and programming theory to machine learning a...
The book is a focused survey on probabilistic program semantics, conceived to tell a coherent story ...
Probabilistic programs [6] are sequential programs, written in languages like C, Java, Scala, or ML,...
grantor: University of TorontoThe incorporation of probability into several theories of p...
The aims of these lecture notes are two-fold: (i) we investigate the relation between the operationa...
A multitude of different probabilistic programming languages exists to-day, all extending a traditio...
A multitude of different probabilistic programming languages exists today, all extending a tradition...
Abstraction is a fundamental tool for reasoning about a complex system. Program abstraction has been...
Probabilistic techniques in computer programs are becoming more and more widely used. Therefore, the...
AbstractThis paper presents two complementary but equivalent semantics for a high level probabilisti...
Probability, be it inherent or explicitly introduced, has become an important issue in the verificat...
Probabilistic Logic Programming extends Logic Programming by enabling the representation of uncertai...
We study a syntax for specifying quantitative assertions—functions mapping program states to numbers...
Hoare logic can be used to verify properties of deterministic programs by deriving correctness formu...
"A thesis submitted in fulfilment of the requirements for the degree of Doctor of Philosophy in the ...