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Learning Predictive and Interpretable Timeseries Summaries from ICU Data


Sep 22, 2021
Nari Johnson, Sonali Parbhoo, Andrew Slavin Ross, Finale Doshi-Velez

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* 10 pages, 3 figures, AMIA 2021 Annual Symposium 

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Comparison and Unification of Three Regularization Methods in Batch Reinforcement Learning


Sep 16, 2021
Sarah Rathnam, Susan A. Murphy, Finale Doshi-Velez

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* ICML Workshop on Reinforcement Learning Theory 2021 

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Pre-emptive learning-to-defer for sequential medical decision-making under uncertainty


Sep 13, 2021
Shalmali Joshi, Sonali Parbhoo, Finale Doshi-Velez

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State Relevance for Off-Policy Evaluation


Sep 13, 2021
Simon P. Shen, Yecheng Jason Ma, Omer Gottesman, Finale Doshi-Velez

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* Proceedings of the 38th International Conference on Machine Learning, PMLR 139:9537-9546, 2021 
* ICML 2021 

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Online structural kernel selection for mobile health


Jul 21, 2021
Eura Shin, Pedja Klasnja, Susan Murphy, Finale Doshi-Velez

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* Workshop paper in ICML IMLH 2021 

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Promises and Pitfalls of Black-Box Concept Learning Models


Jun 24, 2021
Anita Mahinpei, Justin Clark, Isaac Lage, Finale Doshi-Velez, Weiwei Pan

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Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Problems by Reinforcement Learning


Jun 14, 2021
Kai Wang, Sanket Shah, Haipeng Chen, Andrew Perrault, Finale Doshi-Velez, Milind Tambe

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Wide Mean-Field Variational Bayesian Neural Networks Ignore the Data


Jun 13, 2021
Beau Coker, Weiwei Pan, Finale Doshi-Velez

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Learning Under Adversarial and Interventional Shifts


Mar 29, 2021
Harvineet Singh, Shalmali Joshi, Finale Doshi-Velez, Himabindu Lakkaraju

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* 19 pages including 5 pages appendix, 6 figures, 2 tables. Preliminary version presented at Causal Discovery & Causality-Inspired Machine Learning Workshop 2020 

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