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02/19/2020
Randomized Smoothing of All Shapes and Sizes
Randomized smoothing is a recently proposed defense against adversarial ...
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11/16/2019
Missingness as Stability: Understanding the Structure of Missingness in Longitudinal EHR data and its Impact on Reinforcement Learning in Healthcare
There is an emerging trend in the reinforcement learning for healthcare ...
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10/17/2019
Graph Embedding VAE: A Permutation Invariant Model of Graph Structure
Generative models of graph structure have applications in biology and so...
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10/08/2019
NGBoost: Natural Gradient Boosting for Probabilistic Prediction
We present Natural Gradient Boosting (NGBoost), an algorithm which bring...
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07/14/2019
Counterfactual Reasoning for Fair Clinical Risk Prediction
The use of machine learning systems to support decision making in health...
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06/21/2018
Countdown Regression: Sharp and Calibrated Survival Predictions
Personalized probabilistic forecasts of time to event (such as mortality...
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12/11/2017
MURA Dataset: Towards Radiologist-Level Abnormality Detection in Musculoskeletal Radiographs
We introduce MURA, a large dataset of musculoskeletal radiographs contai...
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11/14/2017
