research
∙
06/01/2023
Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding
A prominent challenge of offline reinforcement learning (RL) is the issu...
share
research
∙
05/26/2023
Laplace-Approximated Neural Additive Models: Improving Interpretability with Bayesian Inference
Deep neural networks (DNNs) have found successful applications in many f...
research
∙
12/06/2022
On the Importance of Clinical Notes in Multi-modal Learning for EHR Data
Understanding deep learning model behavior is critical to accepting mach...
research
∙
08/29/2022
Temporal Label Smoothing for Early Prediction of Adverse Events
Models that can predict adverse events ahead of time with low false-alar...
research
∙
11/16/2021
HiRID-ICU-Benchmark – A Comprehensive Machine Learning Benchmark on High-resolution ICU Data
The recent success of machine learning methods applied to time series co...
research
∙
06/09/2021