Wallach, Hanna

14 publications

NeurIPS 2025 Comparison Requires Valid Measurement: Rethinking Attack Success Rate Comparisons in AI Red Teaming Alexandra Chouldechova, A. Feder Cooper, Solon Barocas, Abhinav Palia, Dan Vann, Hanna Wallach

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

NeurIPS 2025 Validating LLM-as-a-Judge Systems Under Rating Indeterminacy Luke Guerdan, Solon Barocas, Ken Holstein, Hanna Wallach, Steven Wu, Alexandra Chouldechova

NeurIPSW 2024 AI Red Teaming Through the Lens of Measurement Theory Alexandra Chouldechova, A. Feder Cooper, Abhinav Palia, Dan Vann, Chad Atalla, Hannah Washington, Emily Sheng, Hanna Wallach

UAI 2021 Doubly Non-Central Beta Matrix Factorization for DNA Methylation Data Aaron Schein, Anjali Nagulpally, Hanna Wallach, Patrick Flaherty

ICML 2019 Locally Private Bayesian Inference for Count Models Aaron Schein, Zhiwei Steven Wu, Alexandra Schofield, Mingyuan Zhou, Hanna Wallach

NeurIPS 2019 Poisson-Randomized Gamma Dynamical Systems Aaron Schein, Scott Linderman, Mingyuan Zhou, David Blei, Hanna Wallach

ICML 2018 A Reductions Approach to Fair Classification Alekh Agarwal, Alina Beygelzimer, Miroslav Dudik, John Langford, Hanna Wallach

ICML 2016 Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations Aaron Schein, Mingyuan Zhou, David Blei, Hanna Wallach

NeurIPS 2016 Flexible Models for Microclustering with Application to Entity Resolution Brenda Betancourt, Giacomo Zanella, Jeffrey W Miller, Hanna Wallach, Abbas Zaidi, Rebecca C. Steorts

NeurIPS 2016 Poisson-Gamma Dynamical Systems Aaron Schein, Hanna Wallach, Mingyuan Zhou

AISTATS 2010 An Alternative Prior Process for Nonparametric Bayesian Clustering Hanna Wallach, Shane Jensen, Lee Dicker, Katherine Heller

AISTATS 2010 Learning the Structure of Deep Sparse Graphical Models Ryan P. Adams, Hanna Wallach, Zoubin Ghahramani