CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning. - Pranav Rajpurkar; Jeremy Irvin; Kaylie Zhu; Brandon Yang; Hershel Mehta; Tony Duan; Daisy Yi Ding; Aarti Bagul; Curtis P. Langlotz; Katie S. Shpanskaya; Matthew P. Lungren; Andrew Y. Ng (CoRR, 2017)

MURA Dataset: Towards Radiologist-Level Abnormality Detection in Musculoskeletal Radiographs. - Pranav Rajpurkar; Jeremy Irvin; Aarti Bagul; Daisy Yi Ding; Tony Duan; Hershel Mehta; Brandon Yang; Kaylie Zhu; Dillon Laird; Robyn L. Ball; Curtis P. Langlotz; Katie S. Shpanskaya; et al. (CoRR, 2017)

Countdown Regression: Sharp and Calibrated Survival Predictions. - Anand Avati; Tony Duan; Kenneth Jung; Nigam H. Shah; Andrew Y. Ng (CoRR, 2018)

Counterfactual Reasoning for Fair Clinical Risk Prediction. - Stephen R. Pfohl; Tony Duan; Daisy Yi Ding; Nigam H. Shah (MLHC, 2019)

Countdown Regression: Sharp and Calibrated Survival Predictions. - Anand Avati; Tony Duan; Sharon Zhou; Kenneth Jung; Nigam H. Shah; Andrew Y. Ng (UAI, 2019)

NGBoost: Natural Gradient Boosting for Probabilistic Prediction. - Tony Duan; Anand Avati; Daisy Yi Ding; Sanjay Basu; Andrew Y. Ng; Alejandro Schuler (CoRR, 2019)

Graph Embedding VAE: A Permutation Invariant Model of Graph Structure. - Tony Duan; Juho Lee 001 (CoRR, 2019)

Missingness as Stability: Understanding the Structure of Missingness in Longitudinal EHR data and its Impact on Reinforcement Learning in Healthcare. - Scott L. Fleming; Kuhan Jeyapragasan; Tony Duan; Daisy Yi Ding; Saurabh Gombar; Nigam Shah; Emma Brunskill (CoRR, 2019)

NGBoost: Natural Gradient Boosting for Probabilistic Prediction. - Tony Duan; Anand Avati; Daisy Yi Ding; Khanh K. Thai; Sanjay Basu; Andrew Y. Ng; Alejandro Schuler (ICML, 2020)

Randomized Smoothing of All Shapes and Sizes. - Greg Yang; Tony Duan; J. Edward Hu; Hadi Salman; Ilya P. Razenshteyn; Jerry Li 001 (ICML, 2020)