2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 1 cited
Lockout: Sparse Regularization of Neural Networks
Gilmer Valdes, Wilmer Arbelo, Yannet Interian +1
Many regression and classification procedures fit a parameterized function of predictor variables to data based on some loss criterion .…
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…