Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Vossler, Patrick"'
The vast majority of techniques to train fair models require access to the protected attribute (e.g., race, gender), either at train time or in production. However, in many important applications this protected attribute is largely unavailable. In th
Externí odkaz:
http://arxiv.org/abs/2310.01679
ODTLearn is an open-source Python package that provides methods for learning optimal decision trees for high-stakes predictive and prescriptive tasks based on the mixed-integer optimization (MIO) framework proposed in Aghaei et al. (2019) and several
Externí odkaz:
http://arxiv.org/abs/2307.15691
Publikováno v:
Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO 2023). Association for Computing Machinery, Article 31, (2023) 1-10
Preference elicitation leverages AI or optimization to learn stakeholder preferences in settings ranging from marketing to public policy. The online robust preference elicitation procedure of arXiv:2003.01899 has been shown in simulation to outperfor
Externí odkaz:
http://arxiv.org/abs/2306.04061
This paper investigates the estimation and inference of the average treatment effect (ATE) using deep neural networks (DNNs) in the potential outcomes framework. Under some regularity conditions, the observed response can be formulated as the respons
Externí odkaz:
http://arxiv.org/abs/2112.01574
As a flexible nonparametric learning tool, the random forests algorithm has been widely applied to various real applications with appealing empirical performance, even in the presence of high-dimensional feature space. Unveiling the underlying mechan
Externí odkaz:
http://arxiv.org/abs/2004.13953
The weighted nearest neighbors (WNN) estimator has been popularly used as a flexible and easy-to-implement nonparametric tool for mean regression estimation. The bagging technique is an elegant way to form WNN estimators with weights automatically ge
Externí odkaz:
http://arxiv.org/abs/1808.08469
Publikováno v:
Journal of the American Statistical Association. :1-11
The weighted nearest neighbors (WNN) estimator has been popularly used as a flexible and easy-to-implement nonparametric tool for mean regression estimation. The bagging technique is an elegant way to form WNN estimators with weights automatically ge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::158a768f8d99ce6c894b4ad42c132d25
https://doi.org/10.1080/01621459.2022.2115375
https://doi.org/10.1080/01621459.2022.2115375
Publikováno v:
Journal of the American Statistical Association; Mar2024, Vol. 119 Issue 545, p297-307, 11p
Preference elicitation leverages AI or optimization to learn stakeholder preferences in settings ranging from marketing to public policy. The online robust preference elicitation procedure of arXiv:2003.01899 has been shown in simulation to outperfor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::299fd61ef05467241fc46dc1ddd73b3f
http://arxiv.org/abs/2306.04061
http://arxiv.org/abs/2306.04061
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