Emma Pierson

According to our database, Emma Pierson authored at least 40 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Testing for racial bias using inconsistent perceptions of race.

Nora Gera, Emma Pierson

CoRR, 2024

LLMs generate structurally realistic social networks but overestimate political homophily.

Serina Chang, Alicja Chaszczewicz, Emma Wang, Maya Josifovska, Emma Pierson, Jure Leskovec

CoRR, 2024

MEDIQ: Question-Asking LLMs for Adaptive and Reliable Clinical Reasoning.

Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, Jonathan Ilgen, Emma Pierson, Pang Wei Koh, Yulia Tsvetkov

CoRR, 2024

Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium.

Hyewon Jeong, Sarah Jabbour, Yuzhe Yang, Rahul Thapa, Hussein Mozannar, William Jongwon Han, Nikita Mehandru, Michael Wornow, Vladislav Lialin, Xin Liu, Alejandro Lozano, Jiacheng Zhu, Rafal Dariusz Kocielnik, Keith Harrigian, Haoran Zhang, Edward Lee, Milos Vukadinovic, Aparna Balagopalan, Vincent Jeanselme, Katherine Matton, Ilker Demirel, Jason A. Fries, Parisa Rashidi, Brett K. Beaulieu-Jones, Xuhai Orson Xu, Matthew B. A. McDermott, Tristan Naumann, Monica Agrawal, Marinka Zitnik, Berk Ustun, Edward Choi, Kristen Yeom, Gamze Gürsoy, Marzyeh Ghassemi, Emma Pierson, George H. Chen, Sanjat Kanjilal, Michael Oberst, Linying Zhang, Harvineet Singh, Tom Hartvigsen, Helen Zhou, Chinasa T. Okolo

CoRR, 2024

Reconciling the Accuracy-Diversity Trade-off in Recommendations.

Kenny Peng, Manish Raghavan, Emma Pierson, Jon M. Kleinberg, Nikhil Garg

Proceedings of the ACM on Web Conference 2024, 2024

Topics, Authors, and Institutions in Large Language Model Research: Trends from 17K arXiv Papers.

Rajiv Movva, Sidhika Balachandar, Kenny Peng, Gabriel Agostini, Nikhil Garg, Emma Pierson

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Domain constraints improve risk prediction when outcome data is missing.

Sidhika Balachandar, Nikhil Garg, Emma Pierson

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Beyond the Stethoscope: Operationalizing Interactive Clinical Reasoning in Large Language Models via Proactive Information Seeking.

Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, Emma Pierson, Pang Wei Koh, Yulia Tsvetkov

Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

Participation in the age of foundation models.

Harini Suresh, Emily Tseng, Meg Young, Mary L. Gray, Emma Pierson, Karen Levy

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Annotation alignment: Comparing LLM and human annotations of conversational safety.

Rajiv Movva, Pang Wei Koh, Emma Pierson

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

A Bayesian Spatial Model to Correct Under-Reporting in Urban Crowdsourcing.

Gabriel Agostini, Emma Pierson, Nikhil Garg

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Human mobility networks reveal increased segregation in large cities.

Hamed Nilforoshan, Wenli Looi, Emma Pierson, Blanca Villanueva, Nic Fishman, Yiling Chen, John Sholar, Beth Redbird, David Grusky, Jure Leskovec

Nat., 2023

Use large language models to promote equity.

Emma Pierson, Divya Shanmugam, Rajiv Movva, Jon M. Kleinberg, Monica Agrawal, Mark Dredze, Kadija Ferryman, Judy Wawira Gichoya, Dan Jurafsky, Pang Wei Koh, Karen Levy, Sendhil Mullainathan, Ziad Obermeyer, Harini Suresh, Keyon Vafa

CoRR, 2023

Large language models shape and are shaped by society: A survey of arXiv publication patterns.

Rajiv Movva, Sidhika Balachandar, Kenny Peng, Gabriel Agostini, Nikhil Garg, Emma Pierson

CoRR, 2023

Choosing the Right Weights: Balancing Value, Strategy, and Noise in Recommender Systems.

Smitha Milli, Emma Pierson, Nikhil Garg

CoRR, 2023

Coarse race data conceals disparities in clinical risk score performance.

Rajiv Movva, Divya Shanmugam, Kaihua Hou, Priya Pathak, John V. Guttag, Nikhil Garg, Emma Pierson

Proceedings of the Machine Learning for Healthcare Conference, 2023

Detecting disparities in police deployments using dashcam data.

Matt Franchi, J. D. Zamfirescu-Pereira, Wendy Ju, Emma Pierson

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022

How do Authors' Perceptions of their Papers Compare with Co-authors' Perceptions and Peer-review Decisions?

Charvi Rastogi, Ivan Stelmakh, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, Zhenyu Xue, Hal Daumé III, Emma Pierson, Nihar B. Shah

CoRR, 2022

Human interaction networks reveal that large cities facilitate segregation.

Hamed Nilforoshan, Wenli Looi, Emma Pierson, Blanca Villanueva, Nic Fishman, Yiling Chen, John Sholar, Beth Redbird, David Grusky, Jure Leskovec

CoRR, 2022

Trucks Don't Mean Trump: Diagnosing Human Error in Image Analysis.

J. D. Zamfirescu-Pereira, Jerry Chen, Emily Wen, Allison Koenecke, Nikhil Garg, Emma Pierson

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

Mobility network models of COVID-19 explain inequities and inform reopening.

Serina Chang, Emma Pierson, Pang Wei Koh, Jaline Gerardin, Beth Redbird, David Grusky, Jure Leskovec

Nat., 2021

Quantifying Inequality in Underreported Medical Conditions.

Divya Shanmugam, Emma Pierson

CoRR, 2021

Supporting COVID-19 Policy Response with Large-scale Mobility-based Modeling.

Serina Chang, Mandy L. Wilson, Bryan L. Lewis, Zakaria Mehrab, Komal K. Dudakiya, Emma Pierson, Pang Wei Koh, Jaline Gerardin, Beth Redbird, David Grusky, Madhav V. Marathe, Jure Leskovec

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

WILDS: A Benchmark of in-the-Wild Distribution Shifts.

Pang Wei Koh, Shiori Sagawa, Henrik Marklund, Sang Michael Xie, Marvin Zhang, Akshay Balsubramani, Weihua Hu, Michihiro Yasunaga, Richard Lanas Phillips, Irena Gao, Tony Lee, Etienne David, Ian Stavness, Wei Guo, Berton Earnshaw, Imran S. Haque, Sara M. Beery, Jure Leskovec, Anshul Kundaje, Emma Pierson, Sergey Levine, Chelsea Finn, Percy Liang

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Data science for social equality.

Emma Pierson

PhD thesis, 2020

WILDS: A Benchmark of in-the-Wild Distribution Shifts.

Pang Wei Koh, Shiori Sagawa, Henrik Marklund, Sang Michael Xie, Marvin Zhang, Akshay Balsubramani, Weihua Hu, Michihiro Yasunaga, Richard Lanas Phillips, Sara Beery, Jure Leskovec, Anshul Kundaje, Emma Pierson, Sergey Levine, Chelsea Finn, Percy Liang

CoRR, 2020

Ethical Machine Learning in Health Care.

Irene Y. Chen, Emma Pierson, Sherri Rose, Shalmali Joshi, Kadija Ferryman, Marzyeh Ghassemi

CoRR, 2020

Concept Bottleneck Models.

Pang Wei Koh, Thao Nguyen, Yew Siang Tang, Stephen Mussmann, Emma Pierson, Been Kim, Percy Liang

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Predicting pregnancy using large-scale datafrom a women's health tracking mobile application.

Bo Liu, Shuyang Shi, Yongshang Wu, Daniel Thomas, Laura Symul, Emma Pierson, Jure Leskovec

Proceedings of the World Wide Web Conference, 2019

Inferring Multidimensional Rates of Aging from Cross-Sectional Data.

Emma Pierson, Pang Wei Koh, Tatsunori B. Hashimoto, Daphne Koller, Jure Leskovec, Nick Eriksson, Percy Liang

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Predicting pregnancy using large-scale data from a women's health tracking mobile application.

Bo Liu, Shuyang Shi, Yongshang Wu, Daniel Thomas, Laura Symul, Emma Pierson, Jure Leskovec

CoRR, 2018

Inferring Multi-Dimensional Rates of Aging from Cross-Sectional Data.

Emma Pierson, Pang Wei Koh, Tatsunori B. Hashimoto, Daphne Koller, Jure Leskovec, Nicholas Eriksson, Percy Liang

CoRR, 2018

Modeling Individual Cyclic Variation in Human Behavior.

Emma Pierson, Tim Althoff, Jure Leskovec

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Fast Threshold Tests for Detecting Discrimination.

Emma Pierson, Sam Corbett-Davies, Sharad Goel

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Gender differences in beliefs about algorithmic fairness.

Emma Pierson

CoRR, 2017

SIMLR: a tool for large-scale single-cell analysis by multi-kernel learning.

Bo Wang, Daniele Ramazzotti, Luca De Sano, Junjie Zhu, Emma Pierson, Serafim Batzoglou

CoRR, 2017

Denoising genome-wide histone ChIP-seq with convolutional neural networks.

Pang Wei Koh, Emma Pierson, Anshul Kundaje

Bioinform., 2017

Algorithmic Decision Making and the Cost of Fairness.

Sam Corbett-Davies, Emma Pierson, Avi Feller, Sharad Goel, Aziz Huq

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2015

Sharing and Specificity of Co-expression Networks across 35 Human Tissues.

Emma Pierson, Daphne Koller, Alexis J. Battle, Sara Mostafavi

PLoS Comput. Biol., 2015

Outnumbered but Well-Spoken: Female Commenters in the New York Times.

Emma Pierson

Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, 2015