Extendability of causal graphical models: Algorithms and computational complexity.

Marcel Wienöbst; Max Bannach; Maciej Liskiewicz

Extendability of causal graphical models: Algorithms and computational complexity.

Marcel Wienöbst, Max Bannach, Maciej Liskiewicz

Institute of Theoretical Computer Science

Original language	English
Pages	1248-1257
Publication status	Published - 2021

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/conf/uai/WienobstBL21

Cite this

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title = "Extendability of causal graphical models: Algorithms and computational complexity.",

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

note = "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.",

year = "2021",

language = "English",

pages = "1248--1257",

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TY - CONF

T1 - Extendability of causal graphical models: Algorithms and computational complexity.

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 - 2021

Y1 - 2021

M3 - Conference Papers

SP - 1248

EP - 1257

ER -