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06/08/2023
A Causal Framework for Decomposing Spurious Variations
One of the fundamental challenges found throughout the data sciences is ...
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06/08/2023
Causal Fairness for Outcome Control
As society transitions towards an AI-based decision-making infrastructur...
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06/08/2023
Reconciling Predictive and Statistical Parity: A Causal Approach
Since the rise of fair machine learning as a critical field of inquiry, ...
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07/23/2022
Causal Fairness Analysis
Decision-making systems based on AI and machine learning have been used ...
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10/19/2021
fairadapt: Causal Reasoning for Fair Data Pre-processing
Machine learning algorithms are useful for various predictions tasks, bu...
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08/02/2021
ricu: R's Interface to Intensive Care Data
Providing computational infrastructure for handling diverse intensive ca...
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07/12/2021
Predicting sepsis in multi-site, multi-national intensive care cohorts using deep learning
Despite decades of clinical research, sepsis remains a global public hea...
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11/15/2019