A collection of identities for variational inference with exponential-family models
Abstract
This is a collection of identities useful for variational inference with exponential family distributions/densities. All derivations were done by the authors, unless indicated otherwise. This does not imply that the results collected here have not appeared in the literature before.
DISCLAIMER: this collection is a work in progress. It is certainly incomplete and probably buggy. Bug-reports and contributions are most welcome.
Metadata
Date | 2022-09-05 |
Authors | Endres,
Dominik, Prof. Dr.
|
Contributors | Researcher:
Pabst,
Kathrin
Researcher: Eckert, Anna-Lena Researcher: Schween, Raphael, Dr. |
DOI | https://doi.org/10.17192/fdr/112
|
License | Creative Commons Attribution-NonCommercial-ShareAlike 4.0 |
Faculty | FB04:Department of Psychology |
Dates | Created:
2022-09-05 |
Language | English |
Data types | Text |
Keywords | Statistik Statistics Maschinelles Lernen Machine Learning Variational Inference |
DFG-Subjects | 110-01 Allgemeine, Kognitive und Mathematische Psychologie 312-01 Mathematik |
DDC-Numbers | 150 510 |
Version | 1.0 |
URI | https://data.uni-marburg.de/handle/dataumr/179
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Files
Name | Format | Size | Checksum (MD5) |
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variationalInferenceIdentities.pdf | 495.6Kb | b041d2066403595f12ac2e695f345bf1 | |
variationalInferenceIdentities.tex | .tex | 202.1Kb | 728f6ce072600a95b21c7a1a36ae891a |
license_CC-BY-NC-SA-4.0.txt | .txt | 20.35Kb | 9acae1bf4bd0b5791f96aa782a080cd8 |
Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 4.0