1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Diversified Ensembling: An Experiment in Crowdsourced Machine Learning
Ira Globus-Harris, Declan Harrison, Michael Kearns +2
Crowdsourced machine learning on competition platforms such as Kaggle is a popular and often effective method for generating accurate models. Typically, teams vie for the most accu…
cs.LG2023★ 1 cited
Multicalibration as Boosting for Regression
Ira Globus-Harris, Declan Harrison, Michael Kearns +2
We study the connection between multicalibration and boosting for squared error regression. First we prove a useful characterization of multicalibration in terms of a ``swap regret…