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04/25/2021
Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance
Machine learning models - now commonly developed to screen, diagnose, or...
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06/29/2020
Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs
We present two elegant solutions for modeling continuous-time dynamics, ...
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02/10/2020
Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions
Off-policy evaluation in reinforcement learning offers the chance of usi...
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01/13/2020
POPCORN: Partially Observed Prediction COnstrained ReiNforcement Learning
Many medical decision-making settings can be framed as partially observe...
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01/09/2020
Identifying Distinct, Effective Treatments for Acute Hypotension with SODA-RL: Safely Optimized Diverse Accurate Reinforcement Learning
Hypotension in critical care settings is a life-threatening emergency th...
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11/19/2019
"The Human Body is a Black Box": Supporting Clinical Decision-Making with Deep Learning
Machine learning technologies are increasingly developed for use in heal...
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08/19/2017
An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection
Sepsis is a poorly understood and potentially life-threatening complicat...
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06/13/2017
Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier
We present a scalable end-to-end classifier that uses streaming physiolo...
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08/16/2016