'A Comparative Evaluation of Quantification Methods', by Tobias Schumacher, Markus Strohmaier, Florian Lemmerich.
http://jmlr.org/papers/v26/21-0241.html
#classifiers #supervised #quantification
'A Comparative Evaluation of Quantification Methods', by Tobias Schumacher, Markus Strohmaier, Florian Lemmerich.
http://jmlr.org/papers/v26/21-0241.html
#classifiers #supervised #quantification
'An Optimal Transport Approach for Computing Adversarial Training Lower Bounds in Multiclass Classification', by Nicolas Garcia Trillos, Matt Jacobs, Jakwang Kim, Matthew Werenski.
http://jmlr.org/papers/v25/24-0268.html
#adversarial #regularization #classifiers
'Optimal Decision Tree and Adaptive Submodular Ranking with Noisy Outcomes', by Su Jia, Fatemeh Navidi, Viswanath Nagarajan, R. Ravi.
http://jmlr.org/papers/v25/23-1484.html
#adaptive #classifiers #optimal
Cost of false positives | Kellan Elliott-McCrea: Blog
Kevin Marks (q.v.) introduced me to Kellan’s Paradox of False Positives in Social Media, which predates the themes I explored in Billion Grains of Rice by 5+ years:
Imagine you’ve got a near perfect model for detecting spammers on Twitter. Say [that] Joe is (presumably hyperbolically) claiming 99% accuracy for his model. And for the moment we’ll imagine he is right. Even at 99% accuracy, that means this algorithm is going to be incorrectly flagging roughly 2 million tweets per day as spam that are actually perfectly legitimate.
https://laughingmeme.org//2011/07/23/cost-of-false-positives/
Via: https://bsky.app/profile/kevinmarks.com/post/3lefwdts3n225
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'Estimating the Replication Probability of Significant Classification Benchmark Experiments', by Daniel Berrar.
http://jmlr.org/papers/v25/24-0158.html
#classifiers #replicability #hypothesis
'An Asymptotic Study of Discriminant and Vote-Averaging Schemes for Randomly-Projected Linear Discriminants', by Lama B. Niyazi, Abla Kammoun, Hayssam Dahrouj, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri.
http://jmlr.org/papers/v25/22-1367.html
#classifiers #ensembles #en
'Non-splitting Neyman-Pearson Classifiers', by Jingming Wang, Lucy Xia, Zhigang Bao, Xin Tong.
http://jmlr.org/papers/v25/22-0795.html
#classifiers #classifier #classification
'Generalization and Stability of Interpolating Neural Networks with Minimal Width', by Hossein Taheri, Christos Thrampoulidis.
http://jmlr.org/papers/v25/23-0422.html
#classifiers #generalization #minimization