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Finale Doshi-Velez
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Modeling Mobile Health Users as Reinforcement Learning Agents


Dec 01, 2022
Eura Shin, Siddharth Swaroop, Weiwei Pan, Susan Murphy, Finale Doshi-Velez

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An Empirical Analysis of the Advantages of Finite- v.s. Infinite-Width Bayesian Neural Networks


Nov 28, 2022
Jiayu Yao, Yaniv Yacoby, Beau Coker, Weiwei Pan, Finale Doshi-Velez

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(When) Are Contrastive Explanations of Reinforcement Learning Helpful?


Nov 14, 2022
Sanjana Narayanan, Isaac Lage, Finale Doshi-Velez

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* Accepted to NeurIPS 2022 workshop on Human in the Loop Learning 
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Does the explanation satisfy your needs?: A unified view of properties of explanations


Nov 10, 2022
Zixi Chen, Varshini Subhash, Marton Havasi, Weiwei Pan, Finale Doshi-Velez

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* Short version accepted at NeurIPS 2022 workshops on Progress and Challenges in Building Trustworthy Embodied AI and Trustworthy and Socially Responsible Machine Learning 
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Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report


Oct 27, 2022
Michael L. Littman, Ifeoma Ajunwa, Guy Berger, Craig Boutilier, Morgan Currie, Finale Doshi-Velez, Gillian Hadfield, Michael C. Horowitz, Charles Isbell, Hiroaki Kitano, Karen Levy, Terah Lyons, Melanie Mitchell, Julie Shah, Steven Sloman, Shannon Vallor, Toby Walsh

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* 82 pages, https://ai100.stanford.edu/gathering-strength-gathering-storms-one-hundred-year-study-artificial-intelligence-ai100-2021-study 
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Towards Robust Off-Policy Evaluation via Human Inputs


Sep 18, 2022
Harvineet Singh, Shalmali Joshi, Finale Doshi-Velez, Himabindu Lakkaraju

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* 10 pages, 5 figures, 1 table. Appeared at AIES '22: Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society. Expanded version of arXiv:2103.15933 
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Reward Design For An Online Reinforcement Learning Algorithm Supporting Oral Self-Care


Aug 15, 2022
Anna L. Trella, Kelly W. Zhang, Inbal Nahum-Shani, Vivek Shetty, Finale Doshi-Velez, Susan A. Murphy

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Success of Uncertainty-Aware Deep Models Depends on Data Manifold Geometry


Aug 05, 2022
Mark Penrod, Harrison Termotto, Varshini Reddy, Jiayu Yao, Finale Doshi-Velez, Weiwei Pan

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* International Conference on Machine Learning. PMLR 162 (2022) 
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A Bayesian Approach to Learning Bandit Structure in Markov Decision Processes


Jul 30, 2022
Kelly W. Zhang, Omer Gottesman, Finale Doshi-Velez

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* Challenges of Real-World Reinforcement Learning 2020 (NeurIPS Workshop) 
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