论文与出版物 Provably sample-efficient RL with side information about latent dynamics Yao Liu, Dipendra Misra, Miro Dudík, Robert E. Schapire Neural Information Processing Systems | May 2022 项目
论文与出版物 Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications Kaitlyn Zhou, Su Lin Blodgett, Adam Trischler, Hal Daumé III, Kaheer Suleman, Alexandra Olteanu NAACL 2022 | May 2022
论文与出版物 Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits Wesley Deng, Manish Nagireddy, Michelle Seng Ah Lee, Jatinder Singh, Zhiwei Steven Wu, Kenneth Holstein, Hai-Yi Zhu Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency | May 2022 Conference on Fairness, Accountability and Transparency
论文与出版物 REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research Jessie J. Smith, Saleema Amershi, Solon Barocas, Hanna Wallach, Jennifer Wortman Vaughan FAccT 2022 | May 2022 项目
论文与出版物 Sample-Efficient Reinforcement Learning in the Presence of Exogenous Information Yonathan Efroni, Dylan Foster, Dipendra Misra, Akshay Krishnamurthy, John Langford Conference on Learning Theory | May 2022
论文与出版物 Provably Filtering Exogenous Distractors using Multistep Inverse Dynamics Yonathan Efroni, Dipendra Misra, Akshay Krishnamurthy, Alekh Agarwal, John Langford ICLR 2022 | April 2022
论文与出版物 Efficient and optimal algorithms for contextual dueling bandits under realizability Akshay Krishnamurthy, Aadirupa Saha International Conference on Algorithmic Learning Theory | April 2022
论文与出版物 Exploiting Correlation to Achieve Faster Learning Rates in Low-Rank Preference Bandits Suprovat Ghoshal, Aadirupa Saha AISTATS 2022 | February 2022
论文与出版物 Assessing the Fairness of AI Systems: AI Practitioners’ Processes, Challenges, and Needs for Support Michael Madaio, Lisa Egede, Hariharan Subramonyam, Jennifer Wortman Vaughan, Hanna Wallach 25th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2022) | February 2022
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微软研究院