2.1k citations · 2.4k across the 35 of their papers we have counts for
Showing 2016 · stat.MLShow all
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stat.ML2016
Function Driven Diffusion for Personalized Counterfactual Inference
Alexander Cloninger
We consider the problem of constructing diffusion operators high dimensional data to address counterfactual functions , such as individualized treatment effectiveness. We pr…
stat.ML2016
Spectral Echolocation via the Wave Embedding
Alexander Cloninger, Stefan Steinerberger
Spectral embedding uses eigenfunctions of the discrete Laplacian on a weighted graph to obtain coordinates for an embedding of an abstract data set into Euclidean space. We propose…
stat.ML2016★ 2.1k cited
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network
Jared Katzman, Uri Shaham, Jonathan Bates +3
Medical practitioners use survival models to explore and understand the relationships between patients' covariates (e.g. clinical and genetic features) and the effectiveness of var…