We consider an important problem in scientific discovery, identifying sp...
In real applications, interaction between machine learning model and dom...
Over the last century, risk scores have been the most popular form of
pr...
Given thousands of equally accurate machine learning (ML) models, how ca...
In any given machine learning problem, there may be many models that cou...
We present fast classification techniques for sparse generalized linear ...
Sparse decision tree optimization has been one of the most fundamental
p...
Interpretability in machine learning (ML) is crucial for high stakes
dec...
Decision tree optimization is notoriously difficult from a computational...