Semantics of probabilistic programs
WebDec 9, 2013 · For a simple probabilistic language we present a semantics based on linear operators on infinite dimensional Hilbert spaces. We show the equivalence of this … WebAn Application of Computable Distributions to the Semantics of Probabilistic Programming Languages. In Proceedings of the 25th European Symposium on Programming Languages and Systems-Volume 9632. ... Static Analysis for Probabilistic Programs: Inferring Whole Program Properties from Finitely Many Paths. SIGPLAN Not. 48, 6 ( June 2013 ), 447-458 ...
Semantics of probabilistic programs
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WebWelcome to PPS, workshop on probabilistic programming semantics, on Tuesday, 17 January 2024, colocated right before POPL. This informal workshop aims to bring programming-language and machine-learning researchers together to advance the semantic foundations of probabilistic programming. WebDec 3, 2024 · It provides a state-of-the-art overview of the theoretical underpinnings of modern probabilistic programming and their applications in machine learning, security, and other domains, at a level...
WebSmartFL, that considers the four factors via efficient probabilistic modeling of the program semantics. Our approach considers a sample space of all possible faults and analyzes which program element is more likely to be faulty based on current test results. Our core insight is that the probability of a fault in the current program WebJan 11, 2024 · Probabilistic programming languages are used to write probabilistic models to make probabilistic inferences. A number of rigorous semantics have recently been …
WebMar 29, 2024 · The research takes 19 x 5 = 95 sample by using probability sampling technique. The data are analyzed by using E-views software program. The result of the research shows that, partially, GA has significant effect on firm value, GCG has significant effects on firm value, and GA and GCG simultaneously have some effects on firm value. WebJan 24, 2014 · ideas behind giving semantics to probabilistic programs. We con-clude the section with a precise description of syntax and semantics of probabilistic programs. …
WebProbabilistic latent semantic analysis (PLSA), also known as probabilistic latent semantic indexing (PLSI, especially in information retrieval circles) is a statistical technique for the analysis of two-mode and co-occurrence data. In effect, one can derive a low-dimensional representation of the observed variables in terms of their affinity to certain hidden …
WebThe semantics of probabilistic languages has been extensively studied, but specification languages for their properties have received little attention. This paper introduces the probabilistic dynamic logic pDL, a specification logic for programs in the probabilistic guarded command language (pGCL) of McIver and Morgan. my sand filter is putting sand in my poolWebWe present a new proof rule for verifying lower bounds on quantities of probabilistic programs. Our proof rule is not confined to almost-surely terminating programs -- as is the … the shaolin temple 1976WebMar 1, 2008 · This paper presents two equivalent semantics for a sub-probabilistic while-programming language. One of these interprets programs as sub-probabilistic distributions on state spaces via... the shaolin temple full movieWebThis, in turn has stimulated foundational research about probabilistic λ 𝜆 \lambda italic_λ-calculi, and in particular about the nature of program equivalence in a probabilistic setting. This has already started to produce some interesting results in the realm of denotational semantics, where adequacy and full-abstraction results have ... my sandals registryWebRelated work. Semantics of probabilistic programs is a well-studied topic. This includes the seminal works by Kozen [16] and McIver and Morgan [18]. Other related semantics of discrete probabilistic while-programs are e.g., given in sev-eral other articles like [18,24,10,23,4]. PGFs have recent scant attention in the analysis of probabilistic ... the shaolin templeWebOur semantics is a model of intuitionistic linear logic: it is based on a symmetric monoidal closed category of ordered Banach spaces which treats randomness as a linear resource, … the shaolin temple dvdWebformal semantics for a class of probabilistic programs. There are several reasons why this should prove worthwhile: (1) Yao (1977) and Rabin (1976) have grouped research in … my sandals stain my feet