8 citations · 13 across the 2 of their papers we have counts for
2 papers
cs.LG2018★ 5 cited
NIPS - Not Even Wrong? A Systematic Review of Empirically Complete Demonstrations of Algorithmic Effectiveness in the Machine Learning and Artificial Intelligence Literature
Franz J Király, Bilal Mateen, Raphael Sonabend
Objective: To determine the completeness of argumentative steps necessary to conclude effectiveness of an algorithm in a sample of current ML/AI supervised learning literature. Dat…
stat.ML2018★ 8 cited
Probabilistic supervised learning
Frithjof Gressmann, Franz J. Király, Bilal Mateen +1
Predictive modelling and supervised learning are central to modern data science. With predictions from an ever-expanding number of supervised black-box strategies - e.g., kernel me…