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Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AI



Q. Vera Liao , Yunfeng Zhang , Ronny Luss , Finale Doshi-Velez , Amit Dhurandhar

* draft 

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Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-implementation Guidelines



Anna L. Trella , Kelly W. Zhang , Inbal Nahum-Shani , Vivek Shetty , Finale Doshi-Velez , Susan A. Murphy


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A Joint Learning Approach for Semi-supervised Neural Topic Modeling



Jeffrey Chiu , Rajat Mittal , Neehal Tumma , Abhishek Sharma , Finale Doshi-Velez

* To appear in the 6th ACL Workshop on Structured Prediction for NLP (SPNLP) 

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Wide Mean-Field Bayesian Neural Networks Ignore the Data



Beau Coker , Wessel P. Bruinsma , David R. Burt , Weiwei Pan , Finale Doshi-Velez


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Generalizing Off-Policy Evaluation From a Causal Perspective For Sequential Decision-Making



Sonali Parbhoo , Shalmali Joshi , Finale Doshi-Velez


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Identification of Subgroups With Similar Benefits in Off-Policy Policy Evaluation



Ramtin Keramati , Omer Gottesman , Leo Anthony Celi , Finale Doshi-Velez , Emma Brunskill


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On Learning Prediction-Focused Mixtures



Abhishek Sharma , Catherine Zeng , Sanjana Narayanan , Sonali Parbhoo , Finale Doshi-Velez


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Learning Predictive and Interpretable Timeseries Summaries from ICU Data



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

* 10 pages, 3 figures, AMIA 2021 Annual Symposium 

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Comparison and Unification of Three Regularization Methods in Batch Reinforcement Learning



Sarah Rathnam , Susan A. Murphy , Finale Doshi-Velez

* ICML Workshop on Reinforcement Learning Theory 2021 

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



Shalmali Joshi , Sonali Parbhoo , Finale Doshi-Velez


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