Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs with Applications.

Marcel Wienöbst; Max Bannach; Maciej Liskiewicz

Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs with Applications.

Marcel Wienöbst, Max Bannach, Maciej Liskiewicz

Institute of Theoretical Computer Science

Original language	English
Journal	J. Mach. Learn. Res.
Volume	24
Pages (from-to)	213:1-213:45
Publication status	Published - 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

DFG Research Classification Scheme

4.43-01 Theoretical Computer Science

Access to Document

https://dblp.org/rec/journals/jmlr/WienobstBL23

Cite this

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title = "Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs with Applications.",

author = "Marcel Wien{\"o}bst and Max Bannach and Maciej Liskiewicz",

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year = "2023",

language = "English",

volume = "24",

pages = "213:1--213:45",

journal = "J. Mach. Learn. Res.",

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AU - Wienöbst, Marcel

AU - Bannach, Max

AU - Liskiewicz, Maciej

N1 - DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

PY - 2023

Y1 - 2023

M3 - Journal articles

VL - 24

SP - 213:1-213:45

JO - J. Mach. Learn. Res.

JF - J. Mach. Learn. Res.

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