Tony Duan

Publication Activity (10 Years)

Years Active: 2017-2020
Publications (10 Years): 12

Top Topics

Graph Embedding

Gradient Boosting

Top Venues

Publications

Greg Yang, Tony Duan, J. Edward Hu, Hadi Salman, Ilya P. Razenshteyn, Jerry Li
Randomized Smoothing of All Shapes and Sizes. CoRR (2020)
Tony Duan, Avati Anand, Daisy Yi Ding, Khanh K. Thai, Sanjay Basu, Andrew Y. Ng, Alejandro Schuler
NGBoost: Natural Gradient Boosting for Probabilistic Prediction. ICML (2020)
Greg Yang, Tony Duan, J. Edward Hu, Hadi Salman, Ilya P. Razenshteyn, Jerry Li
Randomized Smoothing of All Shapes and Sizes. ICML (2020)
Tony Duan, Anand Avati, Daisy Yi Ding, Sanjay Basu, Andrew Y. Ng, Alejandro Schuler
NGBoost: Natural Gradient Boosting for Probabilistic Prediction. CoRR (2019)
Stephen R. Pfohl, Tony Duan, Daisy Yi Ding, Nigam H. Shah
Counterfactual Reasoning for Fair Clinical Risk Prediction. MLHC (2019)
Scott L. Fleming, Kuhan Jeyapragasan, Tony Duan, Daisy Yi Ding, Saurabh Gombar, Nigam Shah, Emma Brunskill
Missingness as Stability: Understanding the Structure of Missingness in Longitudinal EHR data and its Impact on Reinforcement Learning in Healthcare. CoRR (2019)
Tony Duan, Juho Lee
Graph Embedding VAE: A Permutation Invariant Model of Graph Structure. CoRR (2019)
Stephen Pfohl, Tony Duan, Daisy Yi Ding, Nigam H. Shah
Counterfactual Reasoning for Fair Clinical Risk Prediction. CoRR (2019)
Anand Avati, Tony Duan, Sharon Zhou, Kenneth Jung, Nigam H. Shah, Andrew Y. Ng
Countdown Regression: Sharp and Calibrated Survival Predictions. UAI (2019)
Anand Avati, Tony Duan, Kenneth Jung, Nigam H. Shah, Andrew Y. Ng
Countdown Regression: Sharp and Calibrated Survival Predictions. CoRR (2018)
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
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning. CoRR (2017)
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, Matthew P. Lungren, Andrew Y. Ng
MURA Dataset: Towards Radiologist-Level Abnormality Detection in Musculoskeletal Radiographs. CoRR (2017)