Tony Duan | DeepAI

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∙ 02/19/2020

Randomized Smoothing of All Shapes and Sizes

Randomized smoothing is a recently proposed defense against adversarial ...

0 Greg Yang, et al. ∙

∙ 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 ...

0 Scott L. Fleming, et al. ∙

∙ 10/17/2019

Graph Embedding VAE: A Permutation Invariant Model of Graph Structure

Generative models of graph structure have applications in biology and so...

0 Tony Duan, et al. ∙

∙ 10/08/2019

NGBoost: Natural Gradient Boosting for Probabilistic Prediction

We present Natural Gradient Boosting (NGBoost), an algorithm which bring...

57 Tony Duan, et al. ∙

∙ 07/14/2019

Counterfactual Reasoning for Fair Clinical Risk Prediction

The use of machine learning systems to support decision making in health...

0 Stephen Pfohl, et al. ∙

∙ 06/21/2018

Countdown Regression: Sharp and Calibrated Survival Predictions

Personalized probabilistic forecasts of time to event (such as mortality...

2 Anand Avati, et al. ∙

∙ 12/11/2017

MURA Dataset: Towards Radiologist-Level Abnormality Detection in Musculoskeletal Radiographs

We introduce MURA, a large dataset of musculoskeletal radiographs contai...

0 Pranav Rajpurkar, et al. ∙

∙ 11/14/2017

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

We develop an algorithm that can detect pneumonia from chest X-rays at a...

0 Pranav Rajpurkar, et al. ∙

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