Fetching the paper…
Reading the bibliography…
Probabilistic programming is a programming paradigm for expressing flexible probabilistic models.
Metropolis, N., Rosenbluth, A.W., Rosenbluth, M.N., Teller, A.H., Teller, E.: Equation of state calculations by fast computing machines. The Journal of Chemical Physics 21
1953
Earlier work this paper cites.
Hastings, W.K.: Monte carlo sampling methods using markov chains and their applications. Biometrika 57
1970
Earlier work this paper cites.
Steele, Jr., G.L.: Rabbit: A compiler for scheme. Tech. rep., Cambridge, MA, USA (1978)
1978
Earlier work this paper cites.
Pearl, J.: Bayesian networks: A model of self-activated memory for evidential reasoning. In: Proceedings of the 7th Conference of the Cognitive Science Society, 1985 (1985)
1985
Earlier work this paper cites.
Shivers, O.: Control flow analysis in scheme. In: Proceedings of the ACM SIGPLAN 1988 Conference on Programming Language Design and Implementation (1988)
1988
Earlier work this paper cites.
Shivers, O.: Control-flow Analysis of Higher-order Languages or Taming Lambda. Ph.D. thesis (1991)
1991
Earlier work this paper cites.
Nee, S., May, R., Harvey, P.: The reconstructed evolutionary process. Philosophical transactions of the Royal Society of London. Series B, Biological sciences 344
1994
Earlier work this paper cites.
Liu, J.S., Chen, R.: Sequential monte carlo methods for dynamic systems. Journal of the American Statistical Association 93
1998
Earlier work this paper cites.
Nielson, F., Nielson, H.R., Hankin, C.: Principles of Program Analysis. Springer-Verlag (1999)
1999
Cited alongside, same era.
Doucet, A., de Freitas, N., Gordon, N.: An Introduction to Sequential Monte Carlo Methods. Springer New York (2001)
2001
Cited alongside, same era.
Douc, R., Cappe, O.: Comparison of resampling schemes for particle filtering. In: ISPA 2005. Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis. (2005)
2005
Cited alongside, same era.
Bishop, C.M.: Pattern Recognition and Machine Learning (Information Science and Statistics). Springer-Verlag, Berlin, Heidelberg (2006)
2006
Cited alongside, same era.
Nee, S.: Birth-death models in macroevolution. Annual Review of Ecology, Evolution, and Systematics 37
2006
Cited alongside, same era.
Gordon, A.D., Henzinger, T.A., Nori, A.V., Rajamani, S.K.: Probabilistic programming. In: Proceedings of the on Future of Software Engineering (2014)
2014
Later among the works it cites.
Wood, F., van de Meent, J.W., Mansinghka, V.: A new approach to probabilistic programming inference. In: Proceedings of the 17th International conference on Artificial Intelligence and Statistics (2014)
2014
Later among the works it cites.
Borgström, J., Dal Lago, U., Gordon, A.D., Szymczak, M.: A lambda-calculus foundation for universal probabilistic programming. In: Proceedings of the 21st ACM SIGPLAN International Conference on Functional Programming (2016)
2016
Later among the works it cites.
Ronquist, F., Lartillot, N., Phillips, M.: Closing the gap between rocks and clocks using total-evidence dating. Philosophical Transactions of the Royal Society B: Biological Sciences 371
2016
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Appel, A.W.: Compiling with Continuations. Cambridge University Press, New York, NY, USA (2007)
2007
Cited alongside, same era.
Goodman, N.D., Mansinghka, V.K., Roy, D.M., Bonawitz, K., Tenenbaum, J.B.: Church: A language for generative models. In: UAI (2008)
2008
Cited alongside, same era.
Midtgaard, J.: Control-flow analysis of functional programs. ACM Comput. Surv. (2012)
2012
Cited alongside, same era.
Ścibior, A., Kammar, O., Vákár, M., Staton, S., Yang, H., Cai, Y., Ostermann, K., Moss, S.K., Heunen, C., Ghahramani, Z.: Denotational validation of higher-order bayesian inference. Proc. ACM Program. Lang. 2
2017
Later among the works it cites.
Timetree :: The timescale of life. http://www.timetree.org/ , accessed: 2018-09-29
2018
Closest in time.
Goodman, N.D., Stuhlmüller, A.: The Design and Implementation of Probabilistic Programming Languages. http://dippl.org (2014), accessed: 2018-09-21
2018
Closest in time.
Murray, L.M., Lundén, D., Kudlicka, J., Broman, D., Schön, T.: Delayed sampling and automatic rao-blackwellization of probabilistic programs. In: Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics (2018)
2018
Closest in time.