4 citations · 4 across the 2 of their papers we have counts for
3 papers · 1 filter
Type-Directed Discretization of Probabilistic Programs (Extended Version)
Katherine Wu, Jules Jacobs, Kevin Batz +1
We study exact discretization as a semantics-preserving transformation for recursive, higher-order probabilistic programs with continuous distributions. We target programs where co…
Weighted NetKAT: A Programming Language For Quantitative Network Verification
Emmanuel Suárez Acevedo, Tiago Ferreira, Kevin Batz +3
We introduce weighted NetKAT, a domain-specific language for modeling and verifying quantitative network properties. The language is parametric on a semiring, enabling the treatmen…
Active Learning of Symbolic NetKAT Automata
Mark Moeller, Tiago Ferreira, Thomas Lu +2
NetKAT is a domain-specific programming language and logic that has been successfully used to specify and verify the behavior of packet-switched networks. This paper develops techn…