Multilinear and linear programs for partially identifiable queries in quasi-markovian structural causal models (2025)
- Authors:
- USP affiliated authors: MAUÁ, DENIS DERATANI - IME ; COZMAN, FABIO GAGLIARDI - EP ; ARROYO, JOAO PEDRO - EP ; RODRIGUES, JOAO GABRIEL BARRETO - EP ; LAWAND, DANIEL ANGELO ESTEVES - IME
- Unidades: IME; EP
- Subjects: ÁLGEBRA MULTILINEAR; ANÁLISE CAUSAL; INTELIGÊNCIA ARTIFICIAL
- Keywords: Efeito causal
- Language: Inglês
- Imprenta:
- Publisher: AUAI Press
- Publisher place: Corvallis
- Date published: 2025
- Source:
- Título: Proceedings
- Volume/Número/Paginação/Ano: p. 1-14, 2025
- Conference titles: Conference on Uncertainty in Artificial Intelligence - UAI
-
ABNT
ARROYO, João Pedro et al. Multilinear and linear programs for partially identifiable queries in quasi-markovian structural causal models. 2025, Anais.. Corvallis: AUAI Press, 2025. p. 1-14. Disponível em: https://openreview.net/pdf?id=aUPT1kEiwP. Acesso em: 26 jan. 2026. -
APA
Arroyo, J. P., Mauá, D. D., Rodrigues, J. G. B., Lawand, D. A. E., Lee, J., Marinescu, R., et al. (2025). Multilinear and linear programs for partially identifiable queries in quasi-markovian structural causal models. In Proceedings (p. 1-14). Corvallis: AUAI Press. Recuperado de https://openreview.net/pdf?id=aUPT1kEiwP -
NLM
Arroyo JP, Mauá DD, Rodrigues JGB, Lawand DAE, Lee J, Marinescu R, Gray A, Laurentino ER, Cozman FG. Multilinear and linear programs for partially identifiable queries in quasi-markovian structural causal models [Internet]. Proceedings. 2025 ; 1-14.[citado 2026 jan. 26 ] Available from: https://openreview.net/pdf?id=aUPT1kEiwP -
Vancouver
Arroyo JP, Mauá DD, Rodrigues JGB, Lawand DAE, Lee J, Marinescu R, Gray A, Laurentino ER, Cozman FG. Multilinear and linear programs for partially identifiable queries in quasi-markovian structural causal models [Internet]. Proceedings. 2025 ; 1-14.[citado 2026 jan. 26 ] Available from: https://openreview.net/pdf?id=aUPT1kEiwP - The structure and complexity of credal semantics
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- Specifying probabilistic relational models with description logics
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