Probabilistic Programming Interfaces for Random Graphs: Markov Categories, Graphons, and Nominal Sets
Author:
Affiliation:
1. Harvard University, Cambridge, USA
2. Massachusetts Institute of Technology, Cambridge, USA
3. University of Oxford, Oxford, UK
4. University of Birmingham, Birmingham, UK
5. University of Toronto, Toronto, Canada
6. KAIST, Daejeon, South Korea
Abstract
Funder
Royal Society
Defense Advanced Research Projects Agency
National Research Foundation of Korea
Publisher
Association for Computing Machinery (ACM)
Link
https://dl.acm.org/doi/pdf/10.1145/3632903
Reference95 articles.
1. Nathanael Ackerman. 2015. Representations of Aut(M)-Invariant Measures. arXiv e-print 1509.06170.
2. Nathanael Ackerman Cameron Freer Alex Kruckman and Rehana Patel. 2017. Properly ergodic structures. arXiv e-print 1710.09336.
3. INVARIANT MEASURES CONCENTRATED ON COUNTABLE STRUCTURES
4. Nathanael L. Ackerman, Jeremy Avigad, Cameron E. Freer, Daniel M. Roy, and Jason M. Rute. 2017. On computable representations of exchangeable data. Workshop on Probabilistic Programming Semantics (PPS 2017). https://pps2017.luddy.indiana.edu/files/2016/12/compAH.pdf
5. Nathanael L. Ackerman, Jeremy Avigad, Cameron E. Freer, Daniel M. Roy, and Jason M. Rute. 2019. Algorithmic barriers to representing conditional independence. In Proc. 34th ACM/IEEE Symp. Logic in Comp. Sci. (LICS 2019). 1–13.
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