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Power-Constrained Bandits

Apr 13, 2020
Jiayu Yao, Emma Brunskill, Weiwei Pan, Susan Murphy, Finale Doshi-Velez

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Quality of Uncertainty Quantification for Bayesian Neural Network Inference

Jun 24, 2019
Jiayu Yao, Weiwei Pan, Soumya Ghosh, Finale Doshi-Velez

* Accepted to ICML UDL 2019 

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Output-Constrained Bayesian Neural Networks

May 15, 2019
Wanqian Yang, Lars Lorch, Moritz A. Graule, Srivatsan Srinivasan, Anirudh Suresh, Jiayu Yao, Melanie F. Pradier, Finale Doshi-Velez

* Presented at the ICML 2019 Workshop on Uncertainty and Robustness in Deep Learning and Workshop on Understanding and Improving Generalization in Deep Learning. Long Beach, CA, 2019 

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Projected BNNs: Avoiding weight-space pathologies by learning latent representations of neural network weights

Dec 03, 2018
Melanie F. Pradier, Weiwei Pan, Jiayu Yao, Soumya Ghosh, Finale Doshi-velez

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Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors

Jul 31, 2018
Soumya Ghosh, Jiayu Yao, Finale Doshi-Velez

* ICML 2018. v2 -- Minor edits and fixes typos. arXiv admin note: text overlap with arXiv:1705.10388 

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Evaluating Reinforcement Learning Algorithms in Observational Health Settings

May 31, 2018
Omer Gottesman, Fredrik Johansson, Joshua Meier, Jack Dent, Donghun Lee, Srivatsan Srinivasan, Linying Zhang, Yi Ding, David Wihl, Xuefeng Peng, Jiayu Yao, Isaac Lage, Christopher Mosch, Li-wei H. Lehman, Matthieu Komorowski, Matthieu Komorowski, Aldo Faisal, Leo Anthony Celi, David Sontag, Finale Doshi-Velez

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