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Trabalho de evento-anais periodico
Epistemic uncertainty in conformal scores: a unified approach (2025)
Cabezas, Luben Miguel Cruz ; Santos, Vagner Silva ; Ramos, Thiago Rodrigo ; Izbicki, Rafael
Source: Proceedings of Machine Learning Research : PMLR. Conference titles: Conference on Uncertainty in Artificial Intelligence - UAI. Unidade: Interinstitucional de Pós-Graduação em Estatística
Subjects: INFERÊNCIA NÃO PARAMÉTRICA, PROCESSOS GAUSSIANOS, MÉTODO DE MONTE CARLO
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ABNT
CABEZAS, Luben Miguel Cruz et al. Epistemic uncertainty in conformal scores: a unified approach. Proceedings of Machine Learning Research : PMLR. Brookline: Microtome Publishing. Disponível em: https://proceedings.mlr.press/v286/cruz-cabezas25a.html. Acesso em: 26 jan. 2026. , 2025
APA
Cabezas, L. M. C., Santos, V. S., Ramos, T. R., & Izbicki, R. (2025). Epistemic uncertainty in conformal scores: a unified approach. Proceedings of Machine Learning Research : PMLR. Brookline: Microtome Publishing. Recuperado de https://proceedings.mlr.press/v286/cruz-cabezas25a.html
NLM
Cabezas LMC, Santos VS, Ramos TR, Izbicki R. Epistemic uncertainty in conformal scores: a unified approach [Internet]. Proceedings of Machine Learning Research : PMLR. 2025 ; 286 443-470.[citado 2026 jan. 26 ] Available from: https://proceedings.mlr.press/v286/cruz-cabezas25a.html
Vancouver
Cabezas LMC, Santos VS, Ramos TR, Izbicki R. Epistemic uncertainty in conformal scores: a unified approach [Internet]. Proceedings of Machine Learning Research : PMLR. 2025 ; 286 443-470.[citado 2026 jan. 26 ] Available from: https://proceedings.mlr.press/v286/cruz-cabezas25a.html
Trabalho de evento
Large language models as tools to improve Bayesian causal discovery (2025)
Bazaluk, Bruna ; Wang, Benjie; Mauá, Denis Deratani ; Silva, Flávio Soares Corrêa da
Source: Proceedings. Conference titles: Conference on Uncertainty in Artificial Intelligence - UAI. Unidade: IME
Subjects: INFERÊNCIA BAYESIANA, LINGUAGEM, ANÁLISE CAUSAL, INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BAZALUK, Bruna et al. Large language models as tools to improve Bayesian causal discovery. 2025, Anais.. Corvallis: AUAI Press, 2025. p. 1-13. Disponível em: https://openreview.net/pdf?id=k3qX5G46zw. Acesso em: 26 jan. 2026.
APA
Bazaluk, B., Wang, B., Mauá, D. D., & Silva, F. S. C. da. (2025). Large language models as tools to improve Bayesian causal discovery. In Proceedings (p. 1-13). Corvallis: AUAI Press. Recuperado de https://openreview.net/pdf?id=k3qX5G46zw
NLM
Bazaluk B, Wang B, Mauá DD, Silva FSC da. Large language models as tools to improve Bayesian causal discovery [Internet]. Proceedings. 2025 ; 1-13.[citado 2026 jan. 26 ] Available from: https://openreview.net/pdf?id=k3qX5G46zw
Vancouver
Bazaluk B, Wang B, Mauá DD, Silva FSC da. Large language models as tools to improve Bayesian causal discovery [Internet]. Proceedings. 2025 ; 1-13.[citado 2026 jan. 26 ] Available from: https://openreview.net/pdf?id=k3qX5G46zw
Trabalho de evento
Multilinear and linear programs for partially identifiable queries in quasi-markovian structural causal models (2025)
Arroyo, João Pedro; Mauá, Denis Deratani ; Rodrigues, João Gabriel Barreto; Lawand, Daniel A. E.; Lee, Junkyu; Marinescu, Radu; Gray, Alex; Laurentino, Eduardo Rocha; Cozman, Fabio Gagliardi
Source: Proceedings. Conference titles: Conference on Uncertainty in Artificial Intelligence - UAI. Unidades: IME, EP
Subjects: ÁLGEBRA MULTILINEAR, ANÁLISE CAUSAL, INTELIGÊNCIA ARTIFICIAL
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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
Trabalho de evento
Nonparametric estimation of the average causal effect using the front-door criterion (2025)
Cavalcante, Ana Paula Lopes; Izbicki, Rafael ; Stern, Rafael Bassi
Source: Proceedings. Conference titles: Conference on Uncertainty in Artificial Intelligence - UAI. Unidade: IME
Subjects: ESTIMAÇÃO NÃO PARAMÉTRICA, ANÁLISE CAUSAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CAVALCANTE, Ana Paula Lopes e IZBICKI, Rafael e STERN, Rafael Bassi. Nonparametric estimation of the average causal effect using the front-door criterion. 2025, Anais.. Corvallis: AUAI Press, 2025. p. 1-15. Disponível em: https://openreview.net/pdf?id=1c6A74tLOd. Acesso em: 26 jan. 2026.
APA
Cavalcante, A. P. L., Izbicki, R., & Stern, R. B. (2025). Nonparametric estimation of the average causal effect using the front-door criterion. In Proceedings (p. 1-15). Corvallis: AUAI Press. Recuperado de https://openreview.net/pdf?id=1c6A74tLOd
NLM
Cavalcante APL, Izbicki R, Stern RB. Nonparametric estimation of the average causal effect using the front-door criterion [Internet]. Proceedings. 2025 ; 1-15.[citado 2026 jan. 26 ] Available from: https://openreview.net/pdf?id=1c6A74tLOd
Vancouver
Cavalcante APL, Izbicki R, Stern RB. Nonparametric estimation of the average causal effect using the front-door criterion [Internet]. Proceedings. 2025 ; 1-15.[citado 2026 jan. 26 ] Available from: https://openreview.net/pdf?id=1c6A74tLOd
Trabalho de evento
On the relationship between And-Sum Circuits and deterministic boolean circuits (2025)
Gonçalves, Jonas Rodrigues Lima; Mauá, Denis Deratani
Conference titles: Conference on Uncertainty in Artificial Intelligence - UAI. Unidade: IME
Subjects: INTELIGÊNCIA ARTIFICIAL, CIRCUITOS LÓGICOS, LÓGICA MATEMÁTICA
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ABNT
GONÇALVES, Jonas Rodrigues Lima e MAUÁ, Denis Deratani. On the relationship between And-Sum Circuits and deterministic boolean circuits. 2025, Anais.. Corvallis: AUAI Press, 2025. Disponível em: https://openreview.net/pdf?id=VbFZDZpOi6. Acesso em: 26 jan. 2026.
APA
Gonçalves, J. R. L., & Mauá, D. D. (2025). On the relationship between And-Sum Circuits and deterministic boolean circuits. In . Corvallis: AUAI Press. Recuperado de https://openreview.net/pdf?id=VbFZDZpOi6
NLM
Gonçalves JRL, Mauá DD. On the relationship between And-Sum Circuits and deterministic boolean circuits [Internet]. 2025 ;[citado 2026 jan. 26 ] Available from: https://openreview.net/pdf?id=VbFZDZpOi6
Vancouver
Gonçalves JRL, Mauá DD. On the relationship between And-Sum Circuits and deterministic boolean circuits [Internet]. 2025 ;[citado 2026 jan. 26 ] Available from: https://openreview.net/pdf?id=VbFZDZpOi6
Trabalho de evento-anais periodico
Learning probabilistic sentential decision diagrams under logic constraints by sampling and averaging (2021)
Geh, Renato Lui ; Mauá, Denis Deratani
Source: Proceedings of Machine Learning Research : PMLR. Conference titles: Conference on Uncertainty in Artificial Intelligence - UAI. Unidade: IME
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, RACIOCÍNIO PROBABILÍSTICO
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ABNT
GEH, Renato Lui e MAUÁ, Denis Deratani. Learning probabilistic sentential decision diagrams under logic constraints by sampling and averaging. Proceedings of Machine Learning Research : PMLR. Brookline: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://proceedings.mlr.press/v161/geh21a/geh21a-supp.pdf. Acesso em: 26 jan. 2026. , 2021
APA
Geh, R. L., & Mauá, D. D. (2021). Learning probabilistic sentential decision diagrams under logic constraints by sampling and averaging. Proceedings of Machine Learning Research : PMLR. Brookline: Instituto de Matemática e Estatística, Universidade de São Paulo. Recuperado de https://proceedings.mlr.press/v161/geh21a/geh21a-supp.pdf
NLM
Geh RL, Mauá DD. Learning probabilistic sentential decision diagrams under logic constraints by sampling and averaging [Internet]. Proceedings of Machine Learning Research : PMLR. 2021 ; 161 2039-2049.[citado 2026 jan. 26 ] Available from: https://proceedings.mlr.press/v161/geh21a/geh21a-supp.pdf
Vancouver
Geh RL, Mauá DD. Learning probabilistic sentential decision diagrams under logic constraints by sampling and averaging [Internet]. Proceedings of Machine Learning Research : PMLR. 2021 ; 161 2039-2049.[citado 2026 jan. 26 ] Available from: https://proceedings.mlr.press/v161/geh21a/geh21a-supp.pdf
Trabalho de evento
Bounded approximate symbolic dynamic programming for hybrid MDPs (2013)
Vianna, Luis Gustavo Rocha; Sanner, Scott; Barros, Leliane Nunes de
Source: Proceedings. Conference titles: Conference on Uncertainty in Artificial Intelligence - UAI. Unidade: IME
Subjects: CONTROLE (TEORIA DE SISTEMAS E CONTROLE), PROCESSOS DE MARKOV
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ABNT
VIANNA, Luis Gustavo Rocha e SANNER, Scott e BARROS, Leliane Nunes de. Bounded approximate symbolic dynamic programming for hybrid MDPs. 2013, Anais.. Corvallis: AUAI Press, 2013. Disponível em: https://www.auai.org/uai2013/prints/proceedings.pdf. Acesso em: 26 jan. 2026.
APA
Vianna, L. G. R., Sanner, S., & Barros, L. N. de. (2013). Bounded approximate symbolic dynamic programming for hybrid MDPs. In Proceedings. Corvallis: AUAI Press. Recuperado de https://www.auai.org/uai2013/prints/proceedings.pdf
NLM
Vianna LGR, Sanner S, Barros LN de. Bounded approximate symbolic dynamic programming for hybrid MDPs [Internet]. Proceedings. 2013 ;[citado 2026 jan. 26 ] Available from: https://www.auai.org/uai2013/prints/proceedings.pdf
Vancouver
Vianna LGR, Sanner S, Barros LN de. Bounded approximate symbolic dynamic programming for hybrid MDPs [Internet]. Proceedings. 2013 ;[citado 2026 jan. 26 ] Available from: https://www.auai.org/uai2013/prints/proceedings.pdf
Trabalho de evento
Symbolic dynamic programming for discrete and continuous state MDPs (2011)
Sanner, Scott; Delgado, Karina Valdivia ; Barros, Leliane Nunes de
Source: Proceedings. Conference titles: Conference on Uncertainty in Artificial Intelligence - UAI. Unidades: EACH, IME
Subjects: INTELIGÊNCIA ARTIFICIAL, PROCESSOS DE MARKOV, PROGRAMAÇÃO DINÂMICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANNER, Scott e DELGADO, Karina Valdivia e BARROS, Leliane Nunes de. Symbolic dynamic programming for discrete and continuous state MDPs. 2011, Anais.. Arlington: AUAI Press, 2011. Disponível em: https://doi.org/10.5555/3020548.3020623. Acesso em: 26 jan. 2026.
APA
Sanner, S., Delgado, K. V., & Barros, L. N. de. (2011). Symbolic dynamic programming for discrete and continuous state MDPs. In Proceedings. Arlington: AUAI Press. doi:10.5555/3020548.3020623
NLM
Sanner S, Delgado KV, Barros LN de. Symbolic dynamic programming for discrete and continuous state MDPs [Internet]. Proceedings. 2011 ;[citado 2026 jan. 26 ] Available from: https://doi.org/10.5555/3020548.3020623
Vancouver
Sanner S, Delgado KV, Barros LN de. Symbolic dynamic programming for discrete and continuous state MDPs [Internet]. Proceedings. 2011 ;[citado 2026 jan. 26 ] Available from: https://doi.org/10.5555/3020548.3020623

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