Predictive Models
Our latest research advances on predictive models that power our solutions.
Renet: Principled and Efficient Relaxation for the Elastic Net via Dynamic Objective Selection
Under Review
Preprint
TRUST: Transparent, Robust, and Ultra-Sparse Trees
PRICAI Proceedings, Lecture Notes on Artificial Intelligence, Springer Nature, 2026
Preprint
The Normal Equations are Normally Faster ()
Technical note, 2025
Preprint
The Normal Equations Strike Back ()
Technical note, 2025
Preprint
Explainable AI (XAI)
Our latest advances in explainability that our solutions leverage are shown below.
One Permutation Is All You Need: Fast, Reliable Variable Importance and Model Stress-Testing
Under Review
Preprint
Optimizing Feature Ordering in Radar Charts for Multi-Profile Comparison
Technical note, 2025
Preprint