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Finale Doshi-Velez

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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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Benchmarks, Algorithms, and Metrics for Hierarchical Disentanglement

Feb 09, 2021
Andrew Slavin Ross, Finale Doshi-Velez

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Evaluating the Interpretability of Generative Models by Interactive Reconstruction

Feb 02, 2021
Andrew Slavin Ross, Nina Chen, Elisa Zhao Hang, Elena L. Glassman, Finale Doshi-Velez

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Preferential Mixture-of-Experts: Interpretable Models that Rely on Human Expertise as much as Possible

Jan 13, 2021
Melanie F. Pradier, Javier Zazo, Sonali Parbhoo, Roy H. Perlis, Maurizio Zazzi, Finale Doshi-Velez

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Identifying Decision Points for Safe and Interpretable Reinforcement Learning in Hypotension Treatment

Jan 09, 2021
Kristine Zhang, Yuanheng Wang, Jianzhun Du, Brian Chu, Leo Anthony Celi, Ryan Kindle, Finale Doshi-Velez

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Artificial Intelligence & Cooperation

Dec 10, 2020
Elisa Bertino, Finale Doshi-Velez, Maria Gini, Daniel Lopresti, David Parkes

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