papers
Publications (10)
cs.LG2018
Hybrid Gradient Boosting Trees and Neural Networks for Forecasting Operating Room Data
Hugh Chen, Scott Lundberg, Su-In Lee
stat.ML2014
Node-Based Learning of Multiple Gaussian Graphical Models
Karthik Mohan, Palma London, Maryam Fazel +2
cs.LG2019
Explainable AI for Trees: From Local Explanations to Global Understanding
Scott M. Lundberg, Gabriel Erion, Hugh Chen +7
cs.LG2019
Consistent Individualized Feature Attribution for Tree Ensembles
Scott M. Lundberg, Gabriel G. Erion, Su-In Lee
cs.AI2017
A Unified Approach to Interpreting Model Predictions
Scott Lundberg, Su-In Lee
cs.AI2018
Consistent feature attribution for tree ensembles
Scott M. Lundberg, Su-In Lee
cs.LG2017
Anesthesiologist-level forecasting of hypoxemia with only SpO2 data using deep learning
Gabriel Erion, Hugh Chen, Scott M. Lundberg +1
stat.ML2014
Learning Graphical Models With Hubs
Kean Ming Tan, Palma London, Karthik Mohan +3
cs.LG2017
Checkpoint Ensembles: Ensemble Methods from a Single Training Process
Hugh Chen, Scott Lundberg, Su-In Lee
cs.AI2016
An unexpected unity among methods for interpreting model predictions
Scott Lundberg, Su-In Lee