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pro vyhledávání: '"Khurana, Drona"'
Autor:
Narasimhan, Harikrishna, Ramaswamy, Harish G., Tavker, Shiv Kumar, Khurana, Drona, Netrapalli, Praneeth, Agarwal, Shivani
We present consistent algorithms for multiclass learning with complex performance metrics and constraints, where the objective and constraints are defined by arbitrary functions of the confusion matrix. This setting includes many common performance m
Externí odkaz:
http://arxiv.org/abs/2210.09695
A plug-in algorithm to estimate Bayes Optimal Classifiers for fairness-aware binary classification has been proposed in (Menon & Williamson, 2018). However, the statistical efficacy of their approach has not been established. We prove that the plug-i
Externí odkaz:
http://arxiv.org/abs/2107.12783
Highly regulated domains such as finance have long favoured the use of machine learning algorithms that are scalable, transparent, robust and yield better performance. One of the most prominent examples of such an algorithm is XGBoost. Meanwhile, the
Externí odkaz:
http://arxiv.org/abs/2009.01442