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Maximum a Posteriori Estimation by Search in Probabilistic Programs

Maximum a Posteriori Estimation by Search in Probabilistic Programs

26 April 2015
David Tolpin
Frank Wood
    TPM
ArXiv (abs)PDFHTML

Papers citing "Maximum a Posteriori Estimation by Search in Probabilistic Programs"

4 / 4 papers shown
Title
Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic
  Programs with Stochastic Support
Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support
Yuanshuo Zhou
Hongseok Yang
Yee Whye Teh
Tom Rainforth
TPM
70
20
0
29 Oct 2019
Thompson Sampling Guided Stochastic Searching on the Line for Deceptive
  Environments with Applications to Root-Finding Problems
Thompson Sampling Guided Stochastic Searching on the Line for Deceptive Environments with Applications to Root-Finding Problems
Sondre Glimsdal
Ole-Christoffer Granmo
25
2
0
05 Aug 2017
An Optimal Bayesian Network Based Solution Scheme for the Constrained
  Stochastic On-line Equi-Partitioning Problem
An Optimal Bayesian Network Based Solution Scheme for the Constrained Stochastic On-line Equi-Partitioning Problem
Sondre Glimsdal
Ole-Christoffer Granmo
24
1
0
11 Jul 2017
Applications of Probabilistic Programming (Master's thesis, 2015)
Applications of Probabilistic Programming (Master's thesis, 2015)
Yura N. Perov
55
44
0
31 May 2016
1