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BEDS-Bench: Behavior of EHR-models under Distributional Shift--A Benchmark


Jul 17, 2021
Anand Avati, Martin Seneviratne, Emily Xue, Zhen Xu, Balaji Lakshminarayanan, Andrew M. Dai


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Short-Term Solar Irradiance Forecasting Using Calibrated Probabilistic Models


Oct 14, 2020
Eric Zelikman, Sharon Zhou, Jeremy Irvin, Cooper Raterink, Hao Sheng, Anand Avati, Jack Kelly, Ram Rajagopal, Andrew Y. Ng, David Gagne


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CRUDE: Calibrating Regression Uncertainty Distributions Empirically


Jun 23, 2020
Eric Zelikman, Christopher Healy, Sharon Zhou, Anand Avati


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Improving Regression Uncertainty Estimates with an Empirical Prior


Jun 06, 2020
Eric Zelikman, Christopher Healy, Sharon Zhou, Anand Avati


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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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Predicting Inpatient Discharge Prioritization With Electronic Health Records


Dec 02, 2018
Anand Avati, Stephen Pfohl, Chris Lin, Thao Nguyen, Meng Zhang, Philip Hwang, Jessica Wetstone, Kenneth Jung, Andrew Ng, Nigam H. Shah


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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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Improving Palliative Care with Deep Learning


Nov 17, 2017
Anand Avati, Kenneth Jung, Stephanie Harman, Lance Downing, Andrew Ng, Nigam H. Shah

* IEEE International Conference on Bioinformatics and Biomedicine 2017 

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Neural Language Correction with Character-Based Attention


Mar 31, 2016
Ziang Xie, Anand Avati, Naveen Arivazhagan, Dan Jurafsky, Andrew Y. Ng

* 10 pages 

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