Invariant generation is the classical problem that aims at automated
gen...
In Bayesian probabilistic programming, a central problem is to estimate ...
Probabilistic recurrence relations (PRRs) are a standard formalism for
d...
With wider application of deep neural networks (DNNs) in various algorit...
In this work, we consider the fundamental problem of deriving quantitati...
Analyzing probabilistic programs and randomized algorithms are classical...
In this work, we consider the fundamental problem of reachability analys...
The notion of program sensitivity (aka Lipschitz continuity) specifies t...
We consider the problem of expected cost analysis over nondeterministic
...
We present a sound and complete method to generate inductive invariants
...
In this work, we consider the almost-sure termination problem for
probab...
We study the almost-sure termination problem for probabilistic programs....
We consider the stochastic shortest path (SSP) problem for succinct Mark...
Probabilistic timed automata (PTAs) are timed automata (TAs) extended wi...