21 citations · 36 across the 9 of their papers we have counts for
4 papers · 1 filter
Distributionally Robust Survival Analysis: A Novel Fairness Loss Without Demographics
Shu Hu, George H. Chen
We propose a general approach for training survival analysis models that minimizes a worst-case error across all subpopulations that are large enough (occurring with at least a use…
Deep Kernel Survival Analysis and Subject-Specific Survival Time Prediction Intervals
George H. Chen
Kernel survival analysis methods predict subject-specific survival curves and times using information about which training subjects are most similar to a test subject. These most s…
Missing Not at Random in Matrix Completion: The Effectiveness of Estimating Missingness Probabilities Under a Low Nuclear Norm Assumption
Wei Ma, George H. Chen
Matrix completion is often applied to data with entries missing not at random (MNAR). For example, consider a recommendation system where users tend to only reveal ratings for item…
Survival-Supervised Topic Modeling with Anchor Words: Characterizing Pancreatitis Outcomes
George H. Chen, Jeremy C. Weiss
We introduce a new approach for topic modeling that is supervised by survival analysis. Specifically, we build on recent work on unsupervised topic modeling with so-called anchor w…