论文与出版物 A Human-Centered Agenda for Intelligible Machine Learning Jennifer Wortman Vaughan, Hanna Wallach In Machines We Trust: Perspectives on Dependable AI | 作者:MIT Press | 2021 项目
论文与出版物 GAM Changer: Editing Generalized Additive Models with Interactive Visualization Zijie J. Wang, Alex Kale, Harsha Nori, Peter Stella, Mark Nunnally, Duen Horng Chau, Mihaela Vorvoreanu, Jennifer Wortman Vaughan, Rich Caruana Neural Information Processing Systems | December 2021 Github
论文与出版物 Datasheets for Datasets Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna Wallach, Hal Daumé III, Kate Crawford Communications of the ACM | December 2021, 第 64 卷(12): pp. 86-92 项目
论文与出版物 Efficient First-Order Contextual Bandits: Prediction, Allocation, and Triangular Discrimination Dylan Foster, Akshay Krishnamurthy NeurIPS 2021 | December 2021
论文与出版物 Going Beyond Linear RL: Sample Efficient Neural Function Approximation Baihe Huang, Kaixuan Huang, Sham Kakade, Jason D. Lee, Qi Lei, Runzhe Wang, Jiaqi Yang NeurIPS 2021 | December 2021
论文与出版物 Summarize with Caution: Comparing Global Feature Attributions Alex Okeson, Rich Caruana, Nick Craswell, Kori Inkpen, Scott M. Lundberg, Harsha Nori, Hanna Wallach, Jennifer Wortman Vaughan Bulletin of the IEEE Computer Society Technical Committee on Data Engineering | December 2021 项目
论文与出版物 Towards an Understanding of Default Policies in Multitask Policy Optimization Ted Moskovitz, Michael Arbel, Jack Parker-Holder, Aldo Pacchiano AISTATS 2022 | November 2021
论文与出版物 Provable RL with Exogenous Distractors via Multistep Inverse Dynamics Yonathan Efroni, Dipendra Misra, Akshay Krishnamurthy, Alekh Agarwal, John Langford ICLR 2022 | October 2021
论文与出版物 From Human Explanation to Model Interpretability: A Framework Based on Weight of Evidence David Alvarez-Melis, Harmanpreet Kaur, Hal Daumé III, Hanna Wallach, Jennifer Wortman Vaughan HCOMP 2021 | September 2021 项目
论文与出版物 Strategically Efficient Exploration in Competitive Multiagent Reinforcement Learning Robert Loftin, Aadirupa Saha, Sam Devlin, Katja Hofmann Conference on Uncertainty in Artificial Intelligence (UAI) 2021 | July 2021