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Find link is a tool written by Edward Betts.searching for Probabilistic programming 21 found (46 total)
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Eric Hehner
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including Tony Hoare. Hehner's other research areas include probabilistic programming, unified algebra, and high-level circuit design. In 1979, HehnerList of things named after Alan Turing (337 words) [view diff] exact match in snippet view article find links to article
proof Turing's Wager Turing+ (programming language) Turing.jl (probabilistic programming) Turingery Turingismus Turmite Turochamp Other items Alan TuringBambi (software) (555 words) [view diff] exact match in snippet view article
model-building interface written in Python. It works with the PyMC probabilistic programming framework. Bambi provides an interface to build and solve BayesianUCPH Bioinformatics Centre (275 words) [view diff] exact match in snippet view article find links to article
Carlo methods. The group is also a leading area of research into probabilistic programming methods for protein structure prediction. The center is headedProbLog (1,000 words) [view diff] case mismatch in snippet view article find links to article
for probabilistic logic programming. Proceedings of the NIPS Probabilistic Programming Workshop. pp. 1–4. De Raedt, Luc; Kimmig, Angelika (2015). "ProbabilisticHamiltonian Monte Carlo (2,264 words) [view diff] exact match in snippet view article find links to article
PyMC, a probabilistic programming language implementing HMC. Metropolis-adjusted Langevin algorithm Turing.jl, a probabilistic programming language inPushmeet Kohli (1,064 words) [view diff] case mismatch in snippet view article find links to article
using LLMs to search over program space. Neural Program Synthesis Probabilistic Programming Community based Crowdsourcing of Data for Training AI Models BehavioralPyTorch (1,540 words) [view diff] case mismatch in snippet view article find links to article
Retrieved 2 June 2020. "Uber AI Labs Open Sources Pyro, a Deep Probabilistic Programming Language". Uber Engineering Blog. 3 November 2017. Archived fromEuropean Association for Theoretical Computer Science (535 words) [view diff] exact match in snippet view article find links to article
1st School on Foundations of Programming and Software systems. Probabilistic programming Braga, Portugal 2015 2nd EATCS Young Researchers School – UnderstandingYee Whye Teh (390 words) [view diff] exact match in snippet view article find links to article
www.stats.ox.ac.uk/~teh/ Gram-Hansen, Bradley (2021). Extending probabilistic programming systems and applying them to real-world simulators. ox.ac.uk (DPhilDarinka Dentcheva (467 words) [view diff] exact match in snippet view article find links to article
Concavity and efficient points of discrete distributions in probabilistic programming, Mathematical Programming 89, 2000, 55–77. Dentcheva, D.; RömischReversible-jump Markov chain Monte Carlo (767 words) [view diff] exact match in snippet view article find links to article
RJ-MCMC tool available for the open source BUGs package. The Gen probabilistic programming system automates the acceptance probability computation for user-definedBayesian statistics (3,092 words) [view diff] exact match in snippet view article find links to article
Analysis with Python: Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ. Packt Publishing Ltd. ISBN 9781789341652BEAST 2 (589 words) [view diff] exact match in snippet view article find links to article
of the box. A related project is LinguaPhylo (LPhy). LPhy is a probabilistic programming language for defining phylogenetic analyses with a syntax similarSteven Vajda (903 words) [view diff] case mismatch in snippet view article find links to article
Programming (1961) Mathematics of Experimental Design (1970) Probabilistic Programming (1972) Theory of Linear and Nonlinear Programming (1974) MathematicsKathleen Fisher (846 words) [view diff] case mismatch in snippet view article find links to article
ran the High-Assurance Cyber Military Systems (HACMS) and the Probabilistic Programming for Advancing Machine Learning (PPAML) programs. The HACMS programRichard McElreath (718 words) [view diff] case mismatch in snippet view article find links to article
Andrew; Lee, Daniel; Guo, Jiqiang (October 1, 2015). "Stan: A Probabilistic Programming Language for Bayesian Inference and Optimization". Journal ofAndrás Prékopa (1,431 words) [view diff] exact match in snippet view article find links to article
145–162. doi:10.1287/opre.36.1.145. Prékopa, András (2003). "Probabilistic programming". Handbooks in Operations Research and Management Science. 10:Autoregressive model (5,409 words) [view diff] exact match in snippet view article find links to article
and adaptive AR models. PyMC3 – the Bayesian statistics and probabilistic programming framework supports AR modes with p lags. bayesloop – supportsApproximate Bayesian computation (8,997 words) [view diff] exact match in snippet view article find links to article
Salvatier, John; Wiecki, Thomas V.; Fonnesbeck, Christopher (2016). "Probabilistic programming in Python using PyMC3". PeerJ Computer Science. 2: e55. arXiv:1507Mean-field particle methods (8,594 words) [view diff] exact match in snippet view article find links to article
Matter group at the Cavendish Laboratory in Cambridge Biips is a probabilistic programming software for Bayesian inference with interacting particle systems