International audienceWe introduce a system of monadic affine sized types, which substantially generalise usual sized types, and allows this way to capture probabilistic higher-order programs which terminate almost surely. Going beyond plain, strong normalisation without losing soundness turns out to be a hard task, which cannot be accomplished without a richer, quantitative notion of types, but also without imposing some affinity constraints. The proposed type system is powerful enough to type classic examples of probabilistically terminating programs such as random walks. The way typable programs are proved to be almost surely terminating is based on reducibility, but requires a substantial adaptation of the technique
International audienceWe define two intersection type systems for the pure, un-typed, probabilistic ...
In sequential functional languages, sized types enable termination checking of programs with complex...
We present the first machine learning approach to the termination analysis of probabilistic programs...
International audienceWe introduce a system of monadic affine sized types, which substantially gener...
We introduce a system of monadic affine sized types, which substantially generalise usual sized type...
Probabilistic programs extend classical imperative programs with real-valued random variables and ra...
International audienceWe consider the quantitative problem of obtaining lower-bounds on the probabil...
We consider the almost-sure (a.s.) termination problem for probabilistic programs, which are a stoch...
We present a new proof rule for proving almost-sure termination of probabilistic programs, including...
AbstractIn this note we show that probabilistic termination of concurrent programs is in many cases ...
We show that complexity analysis of probabilistic higher-order functional programs can be carried ou...
We show that complexity analysis of probabilistic higher-order functional programs can be carried ou...
We study termination of higher-order probabilistic functional programs with recursion, stochastic co...
Termination is one of the basic liveness properties, and we study the termination problem for probab...
AbstractInstances of a polytypic or generic program for a concrete recursive type often exhibit a re...
International audienceWe define two intersection type systems for the pure, un-typed, probabilistic ...
In sequential functional languages, sized types enable termination checking of programs with complex...
We present the first machine learning approach to the termination analysis of probabilistic programs...
International audienceWe introduce a system of monadic affine sized types, which substantially gener...
We introduce a system of monadic affine sized types, which substantially generalise usual sized type...
Probabilistic programs extend classical imperative programs with real-valued random variables and ra...
International audienceWe consider the quantitative problem of obtaining lower-bounds on the probabil...
We consider the almost-sure (a.s.) termination problem for probabilistic programs, which are a stoch...
We present a new proof rule for proving almost-sure termination of probabilistic programs, including...
AbstractIn this note we show that probabilistic termination of concurrent programs is in many cases ...
We show that complexity analysis of probabilistic higher-order functional programs can be carried ou...
We show that complexity analysis of probabilistic higher-order functional programs can be carried ou...
We study termination of higher-order probabilistic functional programs with recursion, stochastic co...
Termination is one of the basic liveness properties, and we study the termination problem for probab...
AbstractInstances of a polytypic or generic program for a concrete recursive type often exhibit a re...
International audienceWe define two intersection type systems for the pure, un-typed, probabilistic ...
In sequential functional languages, sized types enable termination checking of programs with complex...
We present the first machine learning approach to the termination analysis of probabilistic programs...