Deriving Probability Density Functions from Probabilistic Functional Programs, TACAS, pp.508-522, 2013. ,
DOI : 10.1007/978-3-642-36742-7_35
Probability and Measure, 1995. ,
Step-Indexed Logical Relations for Probability, Proceedings of FoSSaCS 2015, pp.279-294, 2015. ,
DOI : 10.1007/978-3-662-46678-0_18
A lambdacalculus foundation for universal probabilistic programming (long version ), 2015. ,
Probabilistic Abstract Interpretation, Proceedings of ESOP 2012, pp.166-190, 2012. ,
DOI : 10.1007/978-3-642-28869-2_9
Probabilistic coherence spaces as a model of higher-order probabilistic computation, Information and Computation, vol.209, issue.6, pp.966-991, 2011. ,
DOI : 10.1016/j.ic.2011.02.001
URL : https://hal.archives-ouvertes.fr/hal-00640435
Probabilistic game semantics, ACM Transactions on Computational Logic, vol.3, issue.3, pp.359-382, 2002. ,
DOI : 10.1145/507382.507385
Probabilistic coherence spaces are fully abstract for probabilistic PCF, Proceedings of the 41st ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages, POPL '14, pp.309-320, 2014. ,
DOI : 10.1145/2535838.2535865
Probabilistic encryption, Journal of Computer and System Sciences, vol.28, issue.2, pp.270-299, 1984. ,
DOI : 10.1016/0022-0000(84)90070-9
The design and implementation of probabilistic programming languages, 2014. ,
Probabilistic models of cognition, 2014. ,
Church: a language for generative models, Proceedings of UAI 2008, pp.220-229, 2008. ,
Monte Carlo sampling methods using Markov chains and their applications, Biometrika, vol.57, issue.1, pp.97-109, 1970. ,
DOI : 10.1093/biomet/57.1.97
The no-u-turn sampler: Adaptively setting path lengths in Hamiltonian Monte Carlo, Journal of Machine Learning Research, vol.15, issue.1, pp.1593-1623, 2014. ,
A provably correct sampler for probabilistic programs, Proceedings of FSTTCS 2015 Schloss Dagstuhl -Leibniz-Zentrum fuer Informatik, pp.475-488, 2015. ,
Probabilistic Non-determinism, 1990. ,
A probabilistic powerdomain of evaluations, [1989] Proceedings. Fourth Annual Symposium on Logic in Computer Science, pp.186-195, 1989. ,
DOI : 10.1109/LICS.1989.39173
Problems of the lightweight implementation of probabilistic programming, 2016. ,
Semantics of probabilistic programs, 20th Annual Symposium on Foundations of Computer Science (sfcs 1979), pp.101-114, 1979. ,
DOI : 10.1109/SFCS.1979.38
Foundations of statistical natural language processing, 1999. ,
Venture: a higherorder probabilistic programming platform with programmable inference ,
Equation of State Calculations by Fast Computing Machines, The Journal of Chemical Physics, vol.21, issue.6, pp.1087-1092, 1953. ,
DOI : 10.1063/1.1699114
R2: an efficient MCMC sampler for probabilistic programs, Proceedings of AAAI 2014, pp.2476-2482, 2014. ,
The Category of Markov Kernels, proceedings of PROBMIV, pp.171-187, 1998. ,
DOI : 10.1016/S1571-0661(05)80602-4
Labelled Markov Processes, 2009. ,
DOI : 10.1142/p595
A probabilistic language based upon sampling functions, ACM Transactions on Programming Languages and Systems, vol.31, issue.1, 2008. ,
Probabilistic reasoning in intelligent systems: networks of plausible inference, 1988. ,
Stochastic lambda calculus and monads of probability distributions, POPL, pp.154-165, 2002. ,
Recent developments in unifying logic and probability, Communications of the ACM, vol.58, issue.7, pp.88-97, 2015. ,
DOI : 10.1145/2699411
Practical probabilistic programming with monads, Proceedings of Haskell 2015, pp.165-176, 2015. ,
Semantics for probabilistic programming, Proceedings of the 31st Annual ACM/IEEE Symposium on Logic in Computer Science, LICS '16, 1601. ,
DOI : 10.1145/2933575.2935313
Robotic mapping: A survey Exploring artificial intelligence in the new millennium, pp.1-35, 2002. ,
Markov chains for exploring posterior distributions. The Annals of Statistics, pp.1701-1728, 1994. ,
Probabilistic Programming in Anglican, Proceedings of ECML PKDD 2015, pp.308-311, 2015. ,
DOI : 10.1007/978-3-319-23461-8_36
Running Probabilistic Programs Backwards, Proceedings of ESOP 2015, pp.53-79, 2015. ,
DOI : 10.1007/978-3-662-46669-8_3
Lightweight implementations of probabilistic programming languages via transformational compilation, Proceedings of AISTATS 2011, p.131, 2011. ,