121 citations · 123 across the 2 of their papers we have counts for
2 papers
stat.ML2019★ 121 cited
Expert-Augmented Machine Learning
E. D. Gennatas, J. H. Friedman, L. H. Ungar +10
Machine Learning is proving invaluable across disciplines. However, its success is often limited by the quality and quantity of available data, while its adoption by the level of t…
stat.ML2017★ 2 cited
Tree-Structured Boosting: Connections Between Gradient Boosted Stumps and Full Decision Trees
José Marcio Luna, Eric Eaton, Lyle H. Ungar +7
Additive models, such as produced by gradient boosting, and full interaction models, such as classification and regression trees (CART), are widely used algorithms that have been i…