15 citations · 37 across the 4 of their papers we have counts for
3 papers · 1 filter
Integrating Random Forests and Generalized Linear Models for Improved Accuracy and Interpretability
Abhineet Agarwal, Ana M. Kenney, Yan Shuo Tan +2
Random forests (RFs) are among the most popular supervised learning algorithms due to their nonlinear flexibility and ease-of-use. However, as black box models, they can only be in…
Simultaneous Feature Selection and Outlier Detection with Optimality Guarantees
Luca Insolia, Ana Kenney, Francesca Chiaromonte +1
Sparse estimation methods capable of tolerating outliers have been broadly investigated in the last decade. We contribute to this research considering high-dimensional regression p…
MIP-BOOST: Efficient and Effective Feature Selection for Linear Regression
Ana Kenney, Francesca Chiaromonte, Giovanni Felici
Recent advances in mathematical programming have made Mixed Integer Optimization a competitive alternative to popular regularization methods for selecting features in regression pr…