| " I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust SSY Kim, QV Liao, M Vorvoreanu, S Ballard, JW Vaughan The 2024 ACM Conference on Fairness, Accountability, and Transparency, 822-835, 2024 | 10 | 2024 |
| (De) Noise: Moderating the Inconsistency Between Human Decision-Makers N Grgić-Hlača, J Ali, KP Gummadi, JW Vaughan arXiv preprint arXiv:2407.11225, 2024 | | 2024 |
| A Decomposition of Forecast Error in Prediction Markets M Dudik, S Lahaie, RM Rogers, JW Vaughan Advances in Neural Information Processing Systems, 4371-4380, 2017 | 11 | 2017 |
| A general volume-parameterized market making framework JD Abernethy, RM Frongillo, X Li, JW Vaughan Proceedings of the fifteenth ACM conference on Economics and computation …, 2014 | 13 | 2014 |
| A human-centered agenda for intelligible machine learning JW Vaughan, H Wallach Machines We Trust: Getting Along with Artificial Intelligence, 2020 | 86 | 2020 |
| A new understanding of prediction markets via no-regret learning Y Chen, JW Vaughan Proceedings of the 11th ACM conference on Electronic commerce, 189-198, 2010 | 131 | 2010 |
| A theory of learning from different domains S Ben-David, J Blitzer, K Crammer, A Kulesza, F Pereira, JW Vaughan Machine Learning 79 (1-2), 151-175, 2010 | 3806 | 2010 |
| Adaptive contract design for crowdsourcing markets: Bandit algorithms for repeated principal-agent problems CJ Ho, A Slivkins, JW Vaughan Proceedings of the fifteenth ACM conference on Economics and computation …, 2014 | 139 | 2014 |
| Adaptive task assignment for crowdsourced classification CJ Ho, S Jabbari, JW Vaughan Proceedings of the 30th International Conference on Machine Learning (ICML …, 2013 | 338 | 2013 |
| Advances in Neural Information Processing Systems 34 M Ranzato, A Beygelzimer, Y Dauphin, PS Liang, JW Vaughan | | 2021 |
| AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap QV Liao, JW Vaughan arXiv preprint arXiv:2306.01941, 2023 | 86 | 2023 |
| An axiomatic characterization of adaptive-liquidity market makers X Li, JW Vaughan Proceedings of the fourteenth ACM conference on Electronic commerce, 657-674, 2013 | 15 | 2013 |
| An axiomatic characterization of wagering mechanisms NS Lambert, J Langford, JW Vaughan, Y Chen, D Reeves, Y Shoham, ... Journal of Economic Theory 156, 389-416, 2015 | 39 | 2015 |
| An Equivalence Between Fair Division and Wagering Mechanisms R Freeman, J Witkowski, JW Vaughan, DM Pennock Management Science, 2023 | 1 | 2023 |
| An Equivalence Between Wagering and Fair-Division Mechanisms R Freeman, DM Pennock, JW Vaughan AAAI, 2019 | 3 | 2019 |
| An Optimization-Based Framework for Automated Market-Making J Abernethy, Y Chen, JW Vaughan Proceedings of the EC'11 12th ACM Conference on Electronic Commerce: June, 5-9, 2011 | 62 | 2011 |
| Assessing the Fairness of AI Systems: AI Practitioners' Processes, Challenges, and Needs for Support M Madaio, L Egede, H Subramonyam, J Wortman Vaughan, H Wallach Proceedings of the ACM on Human-Computer Interaction 6 (CSCW1), 1-26, 2022 | 118 | 2022 |
| Asymptotic active learning MF Balcan, E Even-Dar, S Hanneke, M Kearns, Y Mansour, J Wortman Workshop on Principles of Learning Design Problem, 2007 | 6 | 2007 |
| Behavioral experiments on biased voting in networks M Kearns, S Judd, J Tan, J Wortman Proceedings of the National Academy of Sciences 106 (5), 1347-1352, 2009 | 212 | 2009 |
| Belief aggregation with automated market makers R Sethi, JW Vaughan Computational Economics 48 (1), 155-178, 2016 | 31 | 2016 |
Hanna WallachPartner Research Manager, Microsoft ResearchVerified email at dirichlet.net