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Disambiguation of "Malinsky, Daniel"

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Optimal Training of Fair Predictive Models.

, , and . CLeaR, volume 177 of Proceedings of Machine Learning Research, page 594-617. PMLR, (2022)

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Daniel

Daniel

Daniel Dirkmann

In-vitro-Untersuchungen zum Effekt von Hypothermie und Azidose auf Variablen thrombelastometrischer Messungen der Blutgerinnung. Uni Duisburg-Essen, (2009)

Daniel Stanze

Systematische Analyse von Rezeptoren und Effektormechanismen der pulmonalen angeborenen Immunität. Uni Marburg, (2009)

Daniel Wied

Zivilprozessuale Qualifikationsprobleme im Spannungsfeld von Vertrag und Delikt: ein Beitrag zur Auslegung nationalen Zivilprozessrechts in europäischer Perspektive. Uni Regensburg, (2009)
 

Other publications of authors with the same name

Learning the Structure of a Nonstationary Vector Autoregression., and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 2986-2994. PMLR, (2019)AI as an intervention: improving clinical outcomes relies on a causal approach to AI development and validation., , , , , , , , , and 10 other author(s). J. Am. Medical Informatics Assoc., 32 (3): 589-594 (2025)A Potential Outcomes Calculus for Identifying Conditional Path-Specific Effects., , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 3080-3088. PMLR, (2019)Causal Learning for Partially Observed Stochastic Dynamical Systems., , and . UAI, page 350-360. AUAI Press, (2018)Corrigendum to "Estimating bounds on causal effects in high-dimensional and possibly confounded systems" Int. J. Approx. Reason. 88 (2017) 371-384., and . Int. J. Approx. Reason., (2025)Estimating Causal Effects with Ancestral Graph Markov Models., and . Probabilistic Graphical Models, volume 52 of JMLR Workshop and Conference Proceedings, page 299-309. JMLR.org, (2016)Learning Optimal Fair Policies., , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 4674-4682. PMLR, (2019)Causal Structure Learning from Multivariate Time Series in Settings with Unmeasured Confounding., and . CD@KDD, volume 92 of Proceedings of Machine Learning Research, page 23-47. PMLR, (2018)Causal Inference Under Interference And Network Uncertainty., , and . UAI, volume 115 of Proceedings of Machine Learning Research, page 1028-1038. AUAI Press, (2019)Differentiable Causal Discovery Under Unmeasured Confounding., , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 2314-2322. PMLR, (2021)