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Creators/Authors contains: "Kozen, Dexter"

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  1. ; ; ; ; (, ACM/IEEE Symposium on Logic in Computer Science)
    null (Ed.)
    We define sound and adequate denotational and operational semantics for the stochastic lambda calculus. These two semantic approaches build on previous work that used an explicit source of randomness to reason about higher-order probabilistic programs. 
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    Accepted Manuscript Full Text Available
  2. ; ; ; ; ; (, Proceedings of the ACM on Programming Languages)
    Full Text Available 
  3. ; (, Relational and Algebraic Methods in Computer Science - 17th International Conference (RAMiCS 2018))
    We propose a coalgebraic model for constructing and reasoning about state-based protocols that implement efficient reductions among random processes. We provide basic tools that allow efficient protocols to be constructed in a compositional way and analyzed in terms of the tradeoff between latency and loss of entropy. We show how to use these tools to construct various entropy-conserving reductions between processes. 
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    Accepted Manuscript Full Text Available
  4. ; ; ; ; ; ; (, Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation)
    This paper presents McNetKAT, a scalable tool for verifying probabilistic network programs. McNetKAT is based on a new semantics for the guarded and history-free fragment of Probabilistic NetKAT in terms of finite-state, absorbing Markov chains. This view allows the semantics of all programs to be computed exactly, enabling construction of an automatic verification tool. Domain-specific optimizations and a parallelizing backend enable McNetKAT to analyze networks with thousands of nodes, automatically reasoning about general properties such as probabilistic program equivalence and refinement, as well as networking properties such as resilience to failures. We evaluate McNetKAT's scalability using real-world topologies, compare its performance against state-of-the-art tools, and develop an extended case study on a recently proposed data center network design. 
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    Full Text Available