Do-calculus when the True Graph is Unknown

Antti Hyttinen; Frederick Eberhardt; Matti Järvisalo

Do-calculus when the True Graph is Unknown

Antti Hyttinen, Frederick Eberhardt, Matti Järvisalo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Original language	English
Title of host publication	Uncertainty in Artificial Intelligence : Proceedings of the Thirty-First Conference (2015) : July 12‑16, 2015, Amsterdam, Netherlands
Editors	Marina Meila, Tom Heskes
Number of pages	10
Place of Publication	Corvallis, OR
Publisher	AUAI Press
Publication date	2015
Pages	395-404
Publication status	Published - 2015
MoE publication type	A4 Article in conference proceedings
Event	Conference on Uncertainty in Artificial Intelligence - Amsterdam, Netherlands Duration: 12 Jul 2015 → 16 Jul 2015 Conference number: 31

Publication series

Name	Uncertainty in artificial intelligence
ISSN (Print)	1525-3384

Fields of Science

113 Computer and information sciences

Access to Document

http://auai.org/uai2015/proceedings/papers/127.pdf

Cite this

Hyttinen, A., Eberhardt, F., & Järvisalo, M. (2015). Do-calculus when the True Graph is Unknown. In M. Meila, & T. Heskes (Eds.), Uncertainty in Artificial Intelligence : Proceedings of the Thirty-First Conference (2015) : July 12‑16, 2015, Amsterdam, Netherlands (pp. 395-404). (Uncertainty in artificial intelligence). AUAI Press. http://auai.org/uai2015/proceedings/papers/127.pdf

@inproceedings{2a1f9b6d111e4c46a9b5c8380dcac4d5,

title = "Do-calculus when the True Graph is Unknown",

keywords = "113 Computer and information sciences",

author = "Antti Hyttinen and Frederick Eberhardt and Matti J{\"a}rvisalo",

year = "2015",

language = "English",

series = "Uncertainty in artificial intelligence",

publisher = "AUAI Press",

pages = "395--404",

editor = "Marina Meila and Tom Heskes",

booktitle = "Uncertainty in Artificial Intelligence",

address = "International",

note = "Conference on Uncertainty in Artificial Intelligence ; Conference date: 12-07-2015 Through 16-07-2015",

}

Hyttinen, A, Eberhardt, F & Järvisalo, M 2015, Do-calculus when the True Graph is Unknown. in M Meila & T Heskes (eds), Uncertainty in Artificial Intelligence : Proceedings of the Thirty-First Conference (2015) : July 12‑16, 2015, Amsterdam, Netherlands. Uncertainty in artificial intelligence, AUAI Press, Corvallis, OR, pp. 395-404, Conference on Uncertainty in Artificial Intelligence, Amsterdam, Netherlands, 12/07/2015. <http://auai.org/uai2015/proceedings/papers/127.pdf>

Do-calculus when the True Graph is Unknown. / Hyttinen, Antti; Eberhardt, Frederick; Järvisalo, Matti.
Uncertainty in Artificial Intelligence : Proceedings of the Thirty-First Conference (2015) : July 12‑16, 2015, Amsterdam, Netherlands. ed. / Marina Meila; Tom Heskes. Corvallis, OR: AUAI Press, 2015. p. 395-404 (Uncertainty in artificial intelligence).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Do-calculus when the True Graph is Unknown

AU - Hyttinen, Antti

AU - Eberhardt, Frederick

AU - Järvisalo, Matti

N1 - Conference code: 31

PY - 2015

Y1 - 2015

KW - 113 Computer and information sciences

UR - http://auai.org/uai2015/proceedings/uai-2015-proceedings.pdf

M3 - Conference contribution

T3 - Uncertainty in artificial intelligence

SP - 395

EP - 404

BT - Uncertainty in Artificial Intelligence

A2 - Meila, Marina

A2 - Heskes, Tom

PB - AUAI Press

CY - Corvallis, OR

T2 - Conference on Uncertainty in Artificial Intelligence

Y2 - 12 July 2015 through 16 July 2015

ER -

Do-calculus when the True Graph is Unknown

Publication series

Fields of Science

Access to Document

Other files and links

Harnessing Constraint Reasoning for Structure Discovery

Decision Procedures for the Polynomial Hierarchy, Boolean Optimization, and Model Counting

Cite this

Do-calculus when the True Graph is Unknown

Publication series

Fields of Science

Access to Document

Other files and links

Projects

Harnessing Constraint Reasoning for Structure Discovery

Decision Procedures for the Polynomial Hierarchy, Boolean Optimization, and Model Counting

Cite this