AbstractIn this note we show that probabilistic termination of concurrent programs is in many cases much simpler than the “fair” one. For a wide class of definitions of probabilistic termination we may express termination by π02 arithmetic formula, whereas the “fair” termination can be expressed only by Π| second-order arithmetic formula. Proof of “fair” termination usually needs induction on recursive ordinals, but proof of probabilistic termination has the complexity equivalent to that of deterministic program termination
Termination analysis has received considerable attention in Logic Programming for several decades. I...
We consider the problem of automatically verifying that a parameterized family of probabilistic conc...
We present the first machine learning approach to the termination analysis of probabilistic programs...
AbstractIn this note we show that probabilistic termination of concurrent programs is in many cases ...
AbstractIn this paper, we consider the fair termination problem for probabilistic concurrent finite-...
We study termination of higher-order probabilistic functional programs with recursion, stochastic co...
An important question for a probabilistic program is whether the probability mass of all its divergi...
International audienceIn this work, we consider the almost-sure termination problem for probabilisti...
In this work, we consider the almost-sure termination problem for probabilistic programs that asks w...
International audienceWe consider the quantitative problem of obtaining lower-bounds on the probabil...
We consider the quantitative problem of obtaining lower-bounds on the probability of termination of ...
Termination is one of the basic liveness properties, and we study the termination problem for probab...
We present a new proof rule for proving almost-sure termination of probabilistic programs, including...
Probabilistic programs extend classical imperative programs with real-valued random variables and ra...
Abstract. Consider a finite set of processes, such that each one may use randomizations in its cours...
Termination analysis has received considerable attention in Logic Programming for several decades. I...
We consider the problem of automatically verifying that a parameterized family of probabilistic conc...
We present the first machine learning approach to the termination analysis of probabilistic programs...
AbstractIn this note we show that probabilistic termination of concurrent programs is in many cases ...
AbstractIn this paper, we consider the fair termination problem for probabilistic concurrent finite-...
We study termination of higher-order probabilistic functional programs with recursion, stochastic co...
An important question for a probabilistic program is whether the probability mass of all its divergi...
International audienceIn this work, we consider the almost-sure termination problem for probabilisti...
In this work, we consider the almost-sure termination problem for probabilistic programs that asks w...
International audienceWe consider the quantitative problem of obtaining lower-bounds on the probabil...
We consider the quantitative problem of obtaining lower-bounds on the probability of termination of ...
Termination is one of the basic liveness properties, and we study the termination problem for probab...
We present a new proof rule for proving almost-sure termination of probabilistic programs, including...
Probabilistic programs extend classical imperative programs with real-valued random variables and ra...
Abstract. Consider a finite set of processes, such that each one may use randomizations in its cours...
Termination analysis has received considerable attention in Logic Programming for several decades. I...
We consider the problem of automatically verifying that a parameterized family of probabilistic conc...
We present the first machine learning approach to the termination analysis of probabilistic programs...