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pro vyhledávání: '"Putzel, Preston"'
Despite recent advances in algorithmic fairness, methodologies for achieving fairness with generalized linear models (GLMs) have yet to be explored in general, despite GLMs being widely used in practice. In this paper we introduce two fairness criter
Externí odkaz:
http://arxiv.org/abs/2206.09076
Autor:
Putzel, Preston, Lee, Scott
Applying standard machine learning approaches for classification can produce unequal results across different demographic groups. When then used in real-world settings, these inequities can have negative societal impacts. This has motivated the devel
Externí odkaz:
http://arxiv.org/abs/2201.04461
In data collection for predictive modeling, under-representation of certain groups, based on gender, race/ethnicity, or age, may yield less-accurate predictions for these groups. Recently, this issue of fairness in predictions has attracted significa
Externí odkaz:
http://arxiv.org/abs/2105.04648
Autor:
Nag, Nitish, Pandey, Vaibhav, Putzel, Preston J., Bhimaraju, Hari, Krishnan, Srikanth, Jain, Ramesh C.
Publikováno v:
Nitish Nag, Vaibhav Pandey, Preston J. Putzel, Hari Bhimaraju, Srikanth Krishnan, Ramesh C. Jain, 2018 ACM Multimedia Conference (MM '18), October 22--26, 2018, Seoul, Republic of Korea
Individuals create and consume more diverse data about themselves today than any time in history. Sources of this data include wearable devices, images, social media, geospatial information and more. A tremendous opportunity rests within cross-modal
Externí odkaz:
http://arxiv.org/abs/1808.06462
Publikováno v:
Biometrics; Jun2023, Vol. 79 Issue 2, p826-840, 15p
Akademický článek
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Autor:
Do H; Department of Population Health, NYU Grossman School of Medicine, New York, NY, USA., Putzel P; Department of Computer Science, University of California, Irvine, CA, USA., Martin A; Department of Population Health, NYU Grossman School of Medicine, New York, NY, USA., Smyth P; Department of Computer Science, University of California, Irvine, CA, USA., Zhong J; Department of Population Health, NYU Grossman School of Medicine, New York, NY, USA.
Publikováno v:
Proceedings of machine learning research [Proc Mach Learn Res] 2022 Jul; Vol. 162, pp. 5286-5308.
Autor:
Putzel P; Department of Computer Science, University of California, Irvine, CA, USA., Do H; Department of Population Health, NYU Grossman School of Medicine, New York, NY, USA., Boyd A; Department of Statistics, University of California, Irvine, CA, USA., Zhong H; Department of Population Health, NYU Grossman School of Medicine, New York, NY, USA., Smyth P; Department of Computer Science, University of California, Irvine, CA, USA.
Publikováno v:
Proceedings of machine learning research [Proc Mach Learn Res] 2021 Aug; Vol. 149, pp. 648-673.