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07/27/2021
End-to-End Balancing for Causal Continuous Treatment-Effect Estimation
We study the problem of observational causal inference with continuous t...
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07/22/2020
Debiasing Concept Bottleneck Models with Instrumental Variables
Concept-based explanation approach is a popular model interpertability t...
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11/08/2019
Discovering Invariances in Healthcare Neural Networks
We study the invariance characteristics of pre-trained predictive models...
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04/27/2019
Temporal-Clustering Invariance in Irregular Healthcare Time Series
Electronic records contain sequences of events, some of which take place...
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11/29/2018
Improving Hospital Mortality Prediction with Medical Named Entities and Multimodal Learning
Clinical text provides essential information to estimate the acuity of a...
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02/08/2017
Causal Regularization
In application domains such as healthcare, we want accurate predictive m...
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08/19/2016