3 papers
cs.LG2025
dnamite: A Python Package for Neural Additive Models
Mike Van Ness, Madeleine Udell
Additive models offer accurate and interpretable predictions for tabular data, a critical tool for statistical modeling. Recent advances in Neural Additive Models (NAMs) allow thes…
cs.LG2024
DNAMite: Interpretable Calibrated Survival Analysis with Discretized Additive Models
Mike Van Ness, Billy Block, Madeleine Udell
Survival analysis is a classic problem in statistics with important applications in healthcare. Most machine learning models for survival analysis are black-box models, limiting th…
cs.LG2024
Interpretable Prediction and Feature Selection for Survival Analysis
Mike Van Ness, Madeleine Udell
Survival analysis is widely used as a technique to model time-to-event data when some data is censored, particularly in healthcare for predicting future patient risk. In such setti…