13 citations · 16 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 13 cited
When are Deep Networks really better than Decision Forests at small sample sizes, and how?
Haoyin Xu, Kaleab A. Kinfu, Will LeVine +9
Deep networks and decision forests (such as random forests and gradient boosted trees) are the leading machine learning methods for structured and tabular data, respectively. Many…
cs.LG2019★ 3 cited
Accurate Layerwise Interpretable Competence Estimation
Vickram Rajendran, William LeVine
Estimating machine learning performance 'in the wild' is both an important and unsolved problem. In this paper, we seek to examine, understand, and predict the pointwise competence…