Tony Duan

According to our database, Tony Duan authored at least 10 papers between 2017 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Randomized Smoothing of All Shapes and Sizes.

Greg Yang, Tony Duan, J. Edward Hu, Hadi Salman, Ilya P. Razenshteyn, Jerry Li

Proceedings of the 37th International Conference on Machine Learning, 2020

NGBoost: Natural Gradient Boosting for Probabilistic Prediction.

Tony Duan, Anand Avati, Daisy Yi Ding, Khanh K. Thai, Sanjay Basu, Andrew Y. Ng, Alejandro Schuler

Proceedings of the 37th International Conference on Machine Learning, 2020

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

Graph Embedding VAE: A Permutation Invariant Model of Graph Structure.

Tony Duan, Juho Lee

CoRR, 2019

NGBoost: Natural Gradient Boosting for Probabilistic Prediction.

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

CoRR, 2019

Countdown Regression: Sharp and Calibrated Survival Predictions.

Anand Avati, Tony Duan, Sharon Zhou, Kenneth Jung, Nigam H. Shah, Andrew Y. Ng

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Counterfactual Reasoning for Fair Clinical Risk Prediction.

Stephen R. Pfohl, Tony Duan, Daisy Yi Ding, Nigam H. Shah

Proceedings of the Machine Learning for Healthcare Conference, 2019

2018

Countdown Regression: Sharp and Calibrated Survival Predictions.

Anand Avati, Tony Duan, Kenneth Jung, Nigam H. Shah, Andrew Y. Ng

CoRR, 2018

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, Matthew P. Lungren, Andrew Y. Ng

CoRR, 2017

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