Important Topics in Causal Analysis: Summary of the CAWS 2021 Round Table Discussion

Research output: Contribution to journal › Conference article › peer-review

Original language	English (US)
Pages (from-to)	52-54
Number of pages	3
Journal	Proceedings of Machine Learning Research
Volume	160
State	Published - 2021
Event	2021 Causal Analysis Workshop Series, CAWS 2021 - Minneapolis, United States Duration: Jul 16 2021 → …

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@article{005dedcfb43f46459bf69547aff8b01b,

title = "Important Topics in Causal Analysis: Summary of the CAWS 2021 Round Table Discussion",

author = "Erich Kummerfeld and Tom Woolf and Will Glad and Mich{\`e}le Sebag and Sisi Ma",

year = "2021",

language = "English (US)",

volume = "160",

pages = "52--54",

journal = "Proceedings of Machine Learning Research",

issn = "2640-3498",

publisher = "ML Research Press",

note = "2021 Causal Analysis Workshop Series, CAWS 2021 ; Conference date: 16-07-2021",

}

TY - JOUR

T1 - Important Topics in Causal Analysis

T2 - 2021 Causal Analysis Workshop Series, CAWS 2021

AU - Kummerfeld, Erich

AU - Woolf, Tom

AU - Glad, Will

AU - Sebag, Michèle

AU - Ma, Sisi

PY - 2021

Y1 - 2021

UR - https://www.scopus.com/pages/publications/85151162393

UR - https://www.scopus.com/pages/publications/85151162393#tab=citedBy

M3 - Conference article

AN - SCOPUS:85151162393

SN - 2640-3498

VL - 160

SP - 52

EP - 54

JO - Proceedings of Machine Learning Research

JF - Proceedings of Machine Learning Research

Y2 - 16 July 2021

ER -