Search Results
Interpretable Machine Learning - Born-Again Tree Ensembles
(Research Talk | ICML 2020) Born-Again Tree Ensembles
Thibaut Vidal - Born-Again Tree Ensembles: Seeing the Forest for the Trees
Thibaut Vidal: "Optimal counterfactual explanations in tree ensembles"
Machine Learning NeEDS Mathematical Optimization with Prof Thibaut Vidal
Interpretable Machine Learning - A Brief History, State-of-the-Art and Challenges
Interpretable AI by Dimitris Bertsimas, MIT plus Opening of OR62 Conference
Panel Discussion: Open Questions in Theory of Learning
Optimal Sparse Decision Trees (OSDT)
Chollet's ARC Challenge + Current Winners
Thibaut Vidal 21/06/21 @ GdR RO "Combinatorial optimization and interpretable machine learning"
Phebe Vayanos - Learning Optimal Classification Trees Robust to Distribution Shifts (ROW Talk)
