449 citations · 620 across the 23 of their papers we have counts for
24 papers
Explaining the Success of Nearest Neighbor Methods in Prediction
George H. Chen, Devavrat Shah
Many modern methods for prediction leverage nearest neighbor search to find past training examples most similar to a test example, an idea that dates back in text to at least the 1…
Neurological Prognostication of Post-Cardiac-Arrest Coma Patients Using EEG Data: A Dynamic Survival Analysis Framework with Competing Risks
Xiaobin Shen, Jonathan Elmer, George H. Chen
Patients resuscitated from cardiac arrest who enter a coma are at high risk of death. Forecasting neurological outcomes of these patients (the task of neurological prognostication)…
Improving Fairness in Deepfake Detection
Yan Ju, Shu Hu, Shan Jia +2
Despite the development of effective deepfake detectors in recent years, recent studies have demonstrated that biases in the data used to train these detectors can lead to disparit…
A General Framework for Visualizing Embedding Spaces of Neural Survival Analysis Models Based on Angular Information
George H. Chen
We propose a general framework for visualizing any intermediate embedding representation used by any neural survival analysis model. Our framework is based on so-called anchor dire…
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…
Survival Kernets: Scalable and Interpretable Deep Kernel Survival Analysis with an Accuracy Guarantee
George H. Chen
Kernel survival analysis models estimate individual survival distributions with the help of a kernel function, which measures the similarity between any two data points. Such a ker…