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Tue 21 Jan 2020 14:49 - 15:05 at St Claude - C

This talk introduces a Monte Carlo dynamic analysis of two probabilistic programs. The analysis estimates an upper bound on the difference in their output distributions for fixed inputs, as measured by Kullback-Leibler (KL) divergence. The analysis, Bridged Auxiliary Inference Divergence Estimator (BRAIDE), is a generalization of the Auxiliary Inference Divergence Estimator (AIDE). Unlike AIDE, BRAIDE analysis can be made more precise and efficient using knowledge of how the traces of the two programs relate, resulting in tighter bounds with less computation. We give an example of BRAIDE applied to two Gen probabilistic programs.

Tue 21 Jan

lafi-2020
14:00 - 15:05: LAFI (né PPS) - C at St Claude
lafi-202014:00 - 14:30
Talk
Yuan ZhouUniversity of Oxford, Hongseok YangKAIST, Yee Whye TehUniversity of Oxford, Tom RainforthDepartment of Statistics, University of Oxford
lafi-202014:32 - 14:47
Talk
Alexander K. LewMassachusetts Institute of Technology, USA, Benjamin ShermanMassachusetts Institute of Technology, USA, Marco Cusumano-TownerMIT-CSAIL, Austin GarrettMIT, Ben ZinbergMIT, Vikash MansinghkaMIT, Michael CarbinMassachusetts Institute of Technology
lafi-202014:49 - 15:05
Talk