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Sat 23 Jan 2016 15:30 - 16:30 at Room St Petersburg II - Poster Session

We identify two problems with Wingate et al. lightweight implementation technique for probabilistic programs. Simple examples demonstrate that common, what should be semantic-preserving program transformations drastically alter the program behavior. We briefly describe an alternative technique that does respect the program refactoring. There remains a question of how to be really, formally sure that the MCMC acceptance ratio is computed correctly.

Sat 23 Jan

Displayed time zone: Guadalajara, Mexico City, Monterrey change

15:30 - 16:30
Poster SessionPPS at Room St Petersburg II
15:30
60m
Meeting
Insomnia: Types and Modules for Probabilistic Programming
PPS
Aleksey Kliger Xamarin, Inc., Sean Stromsten BAE Systems, Inc.
Pre-print
15:30
60m
Meeting
Finite-depth Higher-order Abstract Syntax Trees for Reasoning about Probabilistic Programs
PPS
Theophilos Giannakopoulos BAE Systems, Inc., Mitchell Wand Northeastern University, Andrew Cobb Northeastern University
Pre-print
15:30
60m
Meeting
Coalgebraic Trace Semantics for Probabilistic Processes: Preliminary Proposal
PPS
Larry Moss Indiana University, Chung-chieh Shan Indiana University, Alexandra Silva Radboud University Nijmegen
Pre-print
15:30
60m
Meeting
Reasoning about Probability and Nondeterminism
PPS
Faris Abou-Saleh University of Oxford, Kwok-Ho Cheung University of Oxford, Jeremy Gibbons University of Oxford, UK
Pre-print
15:30
60m
Meeting
Fixed Points for Markov Decision Processes
PPS
Johannes Hölzl Technische Universität München
Pre-print
15:30
60m
Meeting
A Denotational Semantics of a Probabilistic Stream-Processing Language
PPS
Yohei Miyamoto Graduate School of Informatics, Kyoto University, Kohei Suenaga , Koji Nakazawa Graduate School of Information Science, Nagoya University
Pre-print
15:30
60m
Meeting
Observation Propagation for Importance Sampling with Likelihood Weighting
PPS
Ryan Culpepper Northeastern University
Pre-print
15:30
60m
Meeting
Problems of the Lightweight Implementation of Probabilistic Programming
PPS
Pre-print
15:30
60m
Meeting
Parameterized Probability Monad
PPS
Adam Ścibior University of Cambridge, Andrew D. Gordon Microsoft Research and University of Edinburgh
Pre-print
15:30
60m
Meeting
Reproducing Kernel Hilbert Space Semantics for Probabilistic Programs
PPS
Adam Ścibior University of Cambridge, Bernhard Schölkopf MPI Tuebingen
Pre-print