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05/03/2023
Efficient estimation of weighted cumulative treatment effects by double/debiased machine learning
In empirical studies with time-to-event outcomes, investigators often le...
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09/14/2022
RMExplorer: A Visual Analytics Approach to Explore the Performance and the Fairness of Disease Risk Models on Population Subgroups
Disease risk models can identify high-risk patients and help clinicians ...
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07/29/2022
Bias Formulas for Violations of Proximal Identification Assumptions
Causal inference from observational data often rests on the unverifiable...
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06/13/2021
Post-hoc loss-calibration for Bayesian neural networks
Bayesian decision theory provides an elegant framework for acting optima...
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12/09/2020
Modeling Disease Progression Trajectories from Longitudinal Observational Data
Analyzing disease progression patterns can provide useful insights into ...
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07/24/2020
Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning
In real world applications like healthcare, it is usually difficult to b...
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04/26/2019
DPVis: Visual Exploration of Disease Progression Pathways
Clinical researchers use disease progression modeling algorithms to pred...
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11/14/2018
Unsupervised learning with contrastive latent variable models
In unsupervised learning, dimensionality reduction is an important tool ...
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02/19/2018