Pierson, Emma

13 publications

NeurIPS 2025 Evaluating Multiple Models Using Labeled and Unlabeled Data Divya M Shanmugam, Shuvom Sadhuka, Manish Raghavan, John Guttag, Bonnie Berger, Emma Pierson

CHIL 2025 Learning Disease Progression Models That Capture Health Disparities Erica Chiang, Divya M Shanmugam, Ashley Beecy, Gabriel Sayer, Deborah Estrin, Nikhil Garg, Emma Pierson

ICML 2025 Sparse Autoencoders for Hypothesis Generation Rajiv Movva, Kenny Peng, Nikhil Garg, Jon Kleinberg, Emma Pierson

AAAI 2024 A Bayesian Spatial Model to Correct Under-Reporting in Urban Crowdsourcing Gabriel Agostini, Emma Pierson, Nikhil Garg

ICLR 2024 Domain Constraints Improve Risk Prediction When Outcome Data Is Missing Sidhika Balachandar, Nikhil Garg, Emma Pierson

NeurIPS 2024 MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, Jonathan S. Ilgen, Emma Pierson, Pang Wei Koh, Yulia Tsvetkov

ICLRW 2024 Multi-Model Evaluation with Labeled & Unlabeled Data Divya M Shanmugam, Shuvom Sadhuka, Manish Raghavan, John Guttag, Bonnie Berger, Emma Pierson

MLHC 2023 Coarse Race Data Conceals Disparities in Clinical Risk Score Performance Rajiv Movva, Divya Shanmugam, Kaihua Hou, Priya Pathak, John Guttag, Nikhil Garg, Emma Pierson

NeurIPSW 2023 Domain Constraints Improve Risk Prediction When Outcome Data Is Missing Sidhika Balachandar, Nikhil Garg, Emma Pierson

ICMLW 2023 Identifying Under-Reported Events in Networks with Spatial Latent Variable Models Gabriel Agostini, Emma Pierson, Nikhil Garg

ICML 2020 Concept Bottleneck Models Pang Wei Koh, Thao Nguyen, Yew Siang Tang, Stephen Mussmann, Emma Pierson, Been Kim, Percy Liang

AISTATS 2019 Inferring Multidimensional Rates of Aging from Cross-Sectional Data Emma Pierson, Pang Wei Koh, Tatsunori Hashimoto, Daphne Koller, Jure Leskovec, Nick Eriksson, Percy Liang

AISTATS 2018 Fast Threshold Tests for Detecting Discrimination Emma Pierson, Sam Corbett-Davies, Sharad Goel