Patrick Schwab
Patrick Schwab
cxplain
Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.
perfect_match
➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.
ame
🤖🤖 Attentive Mixtures of Experts (AMEs) are neural network models that learn to output both accurate predictions and estimates of feature importance for individual samples.
CovEWS
The COVID-19 Early Warning System (CovEWS) is a real-time early warning system for assessing individual COVID-19 related mortality risk.
drnet
💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatments from observational data using neural networks.