Vaughan, Jennifer Wortman

20 publications

NeurIPS 2025 Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research A. Feder Cooper, Christopher A. Choquette-Choo, Miranda Bogen, Kevin Klyman, Matthew Jagielski, Katja Filippova, Ken Liu, Alexandra Chouldechova, Jamie Hayes, Yangsibo Huang, Eleni Triantafillou, Peter Kairouz, Nicole Elyse Mitchell, Niloofar Mireshghallah, Abigail Z. Jacobs, James Grimmelmann, Vitaly Shmatikov, Christopher De Sa, Ilia Shumailov, Andreas Terzis, Solon Barocas, Jennifer Wortman Vaughan, Danah Boyd, Yejin Choi, Sanmi Koyejo, Fernando Delgado, Percy Liang, Daniel E. Ho, Pamela Samuelson, Miles Brundage, David Bau, Seth Neel, Hanna Wallach, Amy B. Cyphert, Mark Lemley, Nicolas Papernot, Katherine Lee

ICML 2025 Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge Hanna Wallach, Meera Desai, A. Feder Cooper, Angelina Wang, Chad Atalla, Solon Barocas, Su Lin Blodgett, Alexandra Chouldechova, Emily Corvi, P. Alex Dow, Jean Garcia-Gathright, Alexandra Olteanu, Nicholas J Pangakis, Stefanie Reed, Emily Sheng, Dan Vann, Jennifer Wortman Vaughan, Matthew Vogel, Hannah Washington, Abigail Z. Jacobs

ICML 2020 No-Regret and Incentive-Compatible Online Learning Rupert Freeman, David Pennock, Chara Podimata, Jennifer Wortman Vaughan

AAAI 2019 An Equivalence Between Wagering and Fair-Division Mechanisms Rupert Freeman, David M. Pennock, Jennifer Wortman Vaughan

AAAI 2019 Group Fairness for the Allocation of Indivisible Goods Vincent Conitzer, Rupert Freeman, Nisarg Shah, Jennifer Wortman Vaughan

AAAI 2018 Incentive-Compatible Forecasting Competitions Jens Witkowski, Rupert Freeman, Jennifer Wortman Vaughan, David M. Pennock, Andreas Krause

COLT 2018 The Externalities of Exploration and How Data Diversity Helps Exploitation Manish Raghavan, Aleksandrs Slivkins, Jennifer Wortman Vaughan, Zhiwei Steven Wu

NeurIPS 2017 A Decomposition of Forecast Error in Prediction Markets Miro Dudik, Sebastien Lahaie, Ryan M Rogers, Jennifer Wortman Vaughan

JAIR 2016 Adaptive Contract Design for Crowdsourcing Markets: Bandit Algorithms for Repeated Principal-Agent Problems Chien-Ju Ho, Aleksandrs Slivkins, Jennifer Wortman Vaughan

UAI 2016 Bounded Rationality in Wagering Mechanisms David M. Pennock, Vasilis Syrgkanis, Jennifer Wortman Vaughan

MLJ 2014 Computational Social Science and Social Computing Winter A. Mason, Jennifer Wortman Vaughan, Hanna M. Wallach

UAI 2014 Market Making with Decreasing Utility for Information Miroslav Dudík, Rafael M. Frongillo, Jennifer Wortman Vaughan

ICML 2013 Adaptive Task Assignment for Crowdsourced Classification Chien-Ju Ho, Shahin Jabbari, Jennifer Wortman Vaughan

UAI 2012 Designing Informative Securities Yiling Chen, Mike Ruberry, Jennifer Wortman Vaughan

AAAI 2012 Online Task Assignment in Crowdsourcing Markets Chien-Ju Ho, Jennifer Wortman Vaughan

MLJ 2010 A Theory of Learning from Different Domains Shai Ben-David, John Blitzer, Koby Crammer, Alex Kulesza, Fernando Pereira, Jennifer Wortman Vaughan

COLT 2010 Evolution with Drifting Targets Varun Kanade, Leslie G. Valiant, Jennifer Wortman Vaughan

COLT 2010 Regret Minimization with Concept Drift Koby Crammer, Yishay Mansour, Eyal Even-Dar, Jennifer Wortman Vaughan

MLJ 2010 The True Sample Complexity of Active Learning Maria-Florina Balcan, Steve Hanneke, Jennifer Wortman Vaughan

UAI 2009 Censored Exploration and the Dark Pool Problem Kuzman Ganchev, Michael J. Kearns, Yuriy Nevmyvaka, Jennifer Wortman Vaughan