Usability of probabilistic programming languages. Blackwell, A. F., Kohn, T., Erwig, M., Baydin, A. G., Church, L., Geddes, J., Gordon, A., Gorinova, M., Gram-Hensen, B., Lawrence, N., Mansinghka, V. K., Paige, B., Petricek, T., Robinson, D., Sarkar, A., & Strickson, O. In PPIG 2019: 30th Annual Meeting of the Psychology of Programming Interest Group, 2019.
Paper abstract bibtex 2 downloads This discussion paper presents a conversation between researchers having active interests in the usability of probabilistic programming languages (PPLs), but coming from a wide range of technical and research perspectives. Although PPL development is currently a vigorous and active research field, there has been very little attention to date to basic questions in the psychology of programming. Relevant issues include mental models associated with Bayesian probability, end-user applications of PPLs, the potential for data-first interaction styles, visualisation or explanation of model structure and solver behaviour, and many others
@inproceedings{blackwell2019,
title = {Usability of probabilistic programming languages},
author = {Blackwell, Alan F. and Kohn, Tobias and Erwig, Martin and Baydin, Atilim G. and Church, Luke and Geddes, James and Gordon, Andy and Gorinova, Maria and Gram-Hensen, Bradley and Lawrence, Neil and Mansinghka, Vikash K. and Paige, Brooks and Petricek, Tomas and Robinson, Diana and Sarkar, Advait and Strickson, Oliver},
booktitle = {PPIG 2019: 30th Annual Meeting of the Psychology of Programming Interest Group},
year = 2019,
url_paper = {https://web.engr.oregonstate.edu/~erwig/papers/UsabilityOfPPLs_PPIG19.pdf},
abstract = {This discussion paper presents a conversation between researchers having active interests in the usability of probabilistic programming languages (PPLs), but coming from a wide range of technical and research perspectives. Although PPL development is currently a vigorous and active research field, there has been very little attention to date to basic questions in the psychology of programming. Relevant issues include mental models associated with Bayesian probability, end-user applications of PPLs, the potential for data-first interaction styles, visualisation or explanation of model structure and solver behaviour, and many others}
}
Downloads: 2
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