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Randomized Smoothing of All Shapes and Sizes

Mar 04, 2020
Greg Yang, Tony Duan, J. Edward Hu, Hadi Salman, Ilya Razenshteyn, Jerry Li

* 9 pages main text, 47 pages total 

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Missingness as Stability: Understanding the Structure of Missingness in Longitudinal EHR data and its Impact on Reinforcement Learning in Healthcare

Nov 16, 2019
Scott L. Fleming, Kuhan Jeyapragasan, Tony Duan, Daisy Ding, Saurabh Gombar, Nigam Shah, Emma Brunskill

* Machine Learning for Health (ML4H) at NeurIPS 2019 - Extended Abstract 

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Graph Embedding VAE: A Permutation Invariant Model of Graph Structure

Oct 17, 2019
Tony Duan, Juho Lee

* Presented at the NeurIPS 2019 Workshop on Graph Representation Learning 

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NGBoost: Natural Gradient Boosting for Probabilistic Prediction

Oct 09, 2019
Tony Duan, Anand Avati, Daisy Yi Ding, Sanjay Basu, Andrew Y. Ng, Alejandro Schuler

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Counterfactual Reasoning for Fair Clinical Risk Prediction

Jul 14, 2019
Stephen Pfohl, Tony Duan, Daisy Yi Ding, Nigam H. Shah

* Machine Learning for Healthcare 2019 

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Countdown Regression: Sharp and Calibrated Survival Predictions

Jun 21, 2018
Anand Avati, Tony Duan, Kenneth Jung, Nigam H. Shah, Andrew Ng

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MURA: Large Dataset for Abnormality Detection in Musculoskeletal Radiographs

May 22, 2018
Pranav Rajpurkar, Jeremy Irvin, Aarti Bagul, Daisy Ding, Tony Duan, Hershel Mehta, Brandon Yang, Kaylie Zhu, Dillon Laird, Robyn L. Ball, Curtis Langlotz, Katie Shpanskaya, Matthew P. Lungren, Andrew Y. Ng

* 1st Conference on Medical Imaging with Deep Learning (MIDL 2018) 

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CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

Dec 25, 2017
Pranav Rajpurkar, Jeremy Irvin, Kaylie Zhu, Brandon Yang, Hershel Mehta, Tony Duan, Daisy Ding, Aarti Bagul, Curtis Langlotz, Katie Shpanskaya, Matthew P. Lungren, Andrew Y. Ng

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