Emma Pierson

73 papers A* 13A 4Journal 47Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
In your own words: computationally identifying interpretable themes in free-text survey data.
CoRR
Jenny S. Wang, Aliya Saperstein, Emma Pierson
2026 J jnl
Shaping AI's Impact on Billions of Lives.
Commun. ACM
Mariano-Florentino Cuellar, Jeff Dean, Finale Doshi-Velez, John L. Hennessy, Andy Konwinski, Sanmi Koyejo, Pelonomi Moiloa, Emma Pierson, David A. Patterson
2026 A* conf
Urban Incident Prediction with Graph Neural Networks: Integrating Government Ratings and Crowdsourced Reports.
AAAI
Sidhika Balachandar, Shuvom Sadhuka, Bonnie Berger, Emma Pierson, Nikhil Garg
2025 J jnl
A Bayesian Model for Multi-stage Censoring.
CoRR
Shuvom Sadhuka, Sophia Lin, Bonnie Berger, Emma Pierson
2025 J jnl
Advancing Science- and Evidence-based AI Policy.
CoRR
Rishi Bommasani, Sanjeev Arora, Jennifer T. Chayes, Yejin Choi, Mariano-Florentino Cuellar, Li Fei-Fei, Daniel E. Ho, Dan Jurafsky, Sanmi Koyejo, Hima Lakkaraju, Arvind Narayanan, Alondra Nelson, Emma Pierson, Joelle Pineau, Scott R. Singer, Gaël Varoquaux, Suresh Venkatasubramanian, Ion Stoica, Percy Liang, Dawn Song
2025 J jnl
Bayesian Modeling of Zero-Shot Classifications for Urban Flood Detection.
CoRR
Matt Franchi, Nikhil Garg, Wendy Ju, Emma Pierson
2025 J jnl
Evaluating multiple models using labeled and unlabeled data.
CoRR
Divya Shanmugam, Shuvom Sadhuka, Manish Raghavan, John V. Guttag, Bonnie Berger, Emma Pierson
2025 J jnl
Inferring fine-grained migration patterns across the United States.
CoRR
Gabriel Agostini, Rachel Young, Maria Fitzpatrick, Nikhil Garg, Emma Pierson
2025 A conf
LLMs Generate Structurally Realistic Social Networks but Overestimate Political Homophily.
ICWSM
Serina Chang, Alicja Chaszczewicz, Emma Wang, Maya Josifovska, Emma Pierson, Jure Leskovec
2025 — conf
Learning Disease Progression Models That Capture Health Disparities.
CHIL
Erica Chiang, Divya Shanmugam, Ashley N. Beecy, Gabriel Sayer, Deborah Estrin, Nikhil Garg, Emma Pierson
2025 J jnl
Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025.
CoRR
Emily Alsentzer, Marie-Laure Charpignon, Bill Chen, Niharika D'Souza, Jason A. Fries, Yixing Jiang, Aparajita Kashyap, Chanwoo Kim, Simon A. Lee, Aishwarya Mandyam, Ashery Christopher Mbilinyi, Nikita Mehandru, Nitish Nagesh, Brighton Nuwagira, Emma Pierson, Arvind Pillai, Akane Sano, Tanveer F. Syeda-Mahmood, Shashank Yadav, Elias Adhanom, Muhammad Umar Afza, Amelia Archer, Suhana Bedi, Vasiliki Bikia, Trenton Chang, George H. Chen, Winston Chen, Erica Chiang, Edward Choi, Octavia Ciora, Paz Dozie-Nnamah, Shaza Elsharief, Matthew Engelhard, Ali Eshragh, Jean Feng, Josh Fessel, Scott L. Fleming, Kei Sen Fong, Thomas Frost, Soham Gadgil, Judy Gichoya, Leeor Hershkovich, Sujeong Im, Bhavya Jain, Vincent Jeanselme, Furong Jia, Qixuan Jin, Yuxuan Jin, Daniel Kapash, Geetika Kapoor, Behdokht Kiafar, Matthias Kleiner, Stefan Kraft, Annika Kumar, Daeun Kyung, Zhongyuan Liang, Joanna Lin, Qianchu Liu, Chang Liu, Hongzhou Luan, Chris Lunt, Leopoldo Julian Lechuga López, Matthew B. A. McDermott, Shahriar Noroozizadeh, Connor O'Brien, YongKyung Oh, Mixail Ota, Stephen Pfohl, Meagan Pi, Tanmoy Sarkar Pias, Emma Rocheteau, Avishaan Sethi, Toru Shirakawa, Anita Silver, Neha Simha, Kamile Stankeviciute, Max Sunog, Peter Szolovits, Shengpu Tang, Jialu Tang, Aaron Tierney, John Valdovinos, Byron Wallace, Will Ke Wang, Peter Washington, Jeremy C. Weiss, Daniel Wolfe, Emily Wong, Hye Sun Yun, Xiaoman Zhang, Xiao Yu Cindy Zhang, Hayoung Jeong, Kaveri A. Thakoor
2025 A* conf
Sparse Autoencoders for Hypothesis Generation.
ICML
Rajiv Movva, Kenny Peng, Nikhil Garg, Jon M. Kleinberg, Emma Pierson
2025 J jnl
Sparse Autoencoders for Hypothesis Generation.
CoRR
Rajiv Movva, Kenny Peng, Nikhil Garg, Jon M. Kleinberg, Emma Pierson
2025 J jnl
Urban Incident Prediction with Graph Neural Networks: Integrating Government Ratings and Crowdsourced Reports.
CoRR
Sidhika Balachandar, Shuvom Sadhuka, Bonnie Berger, Emma Pierson, Nikhil Garg
2025 J jnl
Use Sparse Autoencoders to Discover Unknown Concepts, Not to Act on Known Concepts.
CoRR
Kenny Peng, Rajiv Movva, Jon M. Kleinberg, Emma Pierson, Nikhil Garg
2025 J jnl
What's In My Human Feedback? Learning Interpretable Descriptions of Preference Data.
CoRR
Rajiv Movva, Smitha Milli, Sewon Min, Emma Pierson
2024 A* conf
A Bayesian Spatial Model to Correct Under-Reporting in Urban Crowdsourcing.
AAAI
Gabriel Agostini, Emma Pierson, Nikhil Garg
2024 A* conf
Annotation alignment: Comparing LLM and human annotations of conversational safety.
EMNLP
Rajiv Movva, Pang Wei Koh, Emma Pierson
2024 J jnl
Annotation alignment: Comparing LLM and human annotations of conversational safety.
CoRR
Rajiv Movva, Pang Wei Koh, Emma Pierson
2024 — conf
Beyond the Stethoscope: Operationalizing Interactive Clinical Reasoning in Large Language Models via Proactive Information Seeking.
ICHI
Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, Emma Pierson, Pang Wei Koh, Yulia Tsvetkov
2024 A* conf
Domain constraints improve risk prediction when outcome data is missing.
ICLR
Sidhika Balachandar, Nikhil Garg, Emma Pierson
2024 J jnl
Generative AI in Medicine.
CoRR
Divya Shanmugam, Monica Agrawal, Rajiv Movva, Irene Y. Chen, Marzyeh Ghassemi, Maia Jacobs, Emma Pierson
2024 J jnl
LLMs generate structurally realistic social networks but overestimate political homophily.
CoRR
Serina Chang, Alicja Chaszczewicz, Emma Wang, Maya Josifovska, Emma Pierson, Jure Leskovec
2024 J jnl
Learning Disease Progression Models That Capture Health Disparities.
CoRR
Erica Chiang, Divya Shanmugam, Ashley N. Beecy, Gabriel Sayer, Nir Uriel, Deborah Estrin, Nikhil Garg, Emma Pierson
2024 J jnl
MEDIQ: Question-Asking LLMs for Adaptive and Reliable Clinical Reasoning.
CoRR
Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, Jonathan Ilgen, Emma Pierson, Pang Wei Koh, Yulia Tsvetkov
2024 A* conf
MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning.
NeurIPS
Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, Jonathan Ilgen, Emma Pierson, Pang Wei W. Koh, Yulia Tsvetkov
2024 — conf
Participation in the age of foundation models.
FAccT
Harini Suresh, Emily Tseng, Meg Young, Mary L. Gray, Emma Pierson, Karen Levy
2024 J jnl
Participation in the age of foundation models.
CoRR
Harini Suresh, Emily Tseng, Meg Young, Mary L. Gray, Emma Pierson, Karen Levy
2024 J jnl
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium.
CoRR
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
2024 A* conf
Reconciling the Accuracy-Diversity Trade-off in Recommendations.
WWW
Kenny Peng, Manish Raghavan, Emma Pierson, Jon M. Kleinberg, Nikhil Garg
2024 J jnl
Shaping AI's Impact on Billions of Lives.
CoRR
Mariano-Florentino Cuellar, Jeff Dean, Finale Doshi-Velez, John L. Hennessy, Andy Konwinski, Sanmi Koyejo, Pelonomi Moiloa, Emma Pierson, David A. Patterson
2024 J jnl
Testing for racial bias using inconsistent perceptions of race.
CoRR
Nora Gera, Emma Pierson
2024 — conf
Topics, Authors, and Institutions in Large Language Model Research: Trends from 17K arXiv Papers.
NAACL-HLT
Rajiv Movva, Sidhika Balachandar, Kenny Peng, Gabriel Agostini, Nikhil Garg, Emma Pierson
2023 J jnl
A Bayesian Spatial Model to Correct Under-Reporting in Urban Crowdsourcing.
CoRR
Gabriel Agostini, Emma Pierson, Nikhil Garg
2023 J jnl
Choosing the Right Weights: Balancing Value, Strategy, and Noise in Recommender Systems.
CoRR
Smitha Milli, Emma Pierson, Nikhil Garg
2023 — conf
Coarse race data conceals disparities in clinical risk score performance.
MLHC
Rajiv Movva, Divya Shanmugam, Kaihua Hou, Priya Pathak, John V. Guttag, Nikhil Garg, Emma Pierson
2023 J jnl
Coarse race data conceals disparities in clinical risk score performance.
CoRR
Rajiv Movva, Divya Shanmugam, Kaihua Hou, Priya Pathak, John V. Guttag, Nikhil Garg, Emma Pierson
2023 — conf
Detecting disparities in police deployments using dashcam data.
FAccT
Matt Franchi, J. D. Zamfirescu-Pereira, Wendy Ju, Emma Pierson
2023 J jnl
Detecting disparities in police deployments using dashcam data.
CoRR
Matt Franchi, J. D. Zamfirescu-Pereira, Wendy Ju, Emma Pierson
2023 J jnl
Domain constraints improve risk prediction when outcome data is missing.
CoRR
Sidhika Balachandar, Nikhil Garg, Emma Pierson
2023 J jnl
Human mobility networks reveal increased segregation in large cities.
Nat.
Hamed Nilforoshan, Wenli Looi, Emma Pierson, Blanca Villanueva, Nic Fishman, Yiling Chen, John Sholar, Beth Redbird, David Grusky, Jure Leskovec
2023 J jnl
Large language models shape and are shaped by society: A survey of arXiv publication patterns.
CoRR
Rajiv Movva, Sidhika Balachandar, Kenny Peng, Gabriel Agostini, Nikhil Garg, Emma Pierson
2023 J jnl
Reconciling the accuracy-diversity trade-off in recommendations.
CoRR
Kenny Peng, Manish Raghavan, Emma Pierson, Jon M. Kleinberg, Nikhil Garg
2023 J jnl
Use large language models to promote equity.
CoRR
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
2022 J jnl
How do Authors' Perceptions of their Papers Compare with Co-authors' Perceptions and Peer-review Decisions?
CoRR
Charvi Rastogi, Ivan Stelmakh, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, Zhenyu Xue, Hal Daumé III, Emma Pierson, Nihar B. Shah
2022 J jnl
Human interaction networks reveal that large cities facilitate segregation.
CoRR
Hamed Nilforoshan, Wenli Looi, Emma Pierson, Blanca Villanueva, Nic Fishman, Yiling Chen, John Sholar, Beth Redbird, David Grusky, Jure Leskovec
2022 — conf
Trucks Don't Mean Trump: Diagnosing Human Error in Image Analysis.
FAccT
J. D. Zamfirescu-Pereira, Jerry Chen, Emily Wen, Allison Koenecke, Nikhil Garg, Emma Pierson
2022 J jnl
Trucks Don't Mean Trump: Diagnosing Human Error in Image Analysis.
CoRR
J. D. Zamfirescu-Pereira, Jerry Chen, Emily Wen, Allison Koenecke, Nikhil Garg, Emma Pierson
2021 — ed.
ACM CHIL '21: ACM Conference on Health, Inference, and Learning, Virtual Event, USA, April 8-9, 2021
CHIL
Marzyeh Ghassemi, Tristan Naumann, Emma Pierson
2021 J jnl
Mobility network models of COVID-19 explain inequities and inform reopening.
Nat.
Serina Chang, Emma Pierson, Pang Wei Koh, Jaline Gerardin, Beth Redbird, David Grusky, Jure Leskovec
2021 J jnl
Quantifying Inequality in Underreported Medical Conditions.
CoRR
Divya Shanmugam, Emma Pierson
2021 A* conf
Supporting COVID-19 Policy Response with Large-scale Mobility-based Modeling.
KDD
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
2021 A* conf
WILDS: A Benchmark of in-the-Wild Distribution Shifts.
ICML
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
2020 A* conf
Concept Bottleneck Models.
ICML
Pang Wei Koh, Thao Nguyen, Yew Siang Tang, Stephen Mussmann, Emma Pierson, Been Kim, Percy Liang
2020 J jnl
Concept Bottleneck Models.
CoRR
Pang Wei Koh, Thao Nguyen, Yew Siang Tang, Stephen Mussmann, Emma Pierson, Been Kim, Percy Liang
2020 — —
Data science for social equality.
Emma Pierson
2020 J jnl
Ethical Machine Learning in Health Care.
CoRR
Irene Y. Chen, Emma Pierson, Sherri Rose, Shalmali Joshi, Kadija Ferryman, Marzyeh Ghassemi
2020 J jnl
WILDS: A Benchmark of in-the-Wild Distribution Shifts.
CoRR
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
2019 A conf
Inferring Multidimensional Rates of Aging from Cross-Sectional Data.
AISTATS
Emma Pierson, Pang Wei Koh, Tatsunori B. Hashimoto, Daphne Koller, Jure Leskovec, Nick Eriksson, Percy Liang
2019 A* conf
Predicting pregnancy using large-scale datafrom a women's health tracking mobile application.
WWW
Bo Liu, Shuyang Shi, Yongshang Wu, Daniel Thomas, Laura Symul, Emma Pierson, Jure Leskovec
2018 A conf
Fast Threshold Tests for Detecting Discrimination.
AISTATS
Emma Pierson, Sam Corbett-Davies, Sharad Goel
2018 J jnl
Inferring Multi-Dimensional Rates of Aging from Cross-Sectional Data.
CoRR
Emma Pierson, Pang Wei Koh, Tatsunori B. Hashimoto, Daphne Koller, Jure Leskovec, Nicholas Eriksson, Percy Liang
2018 A* conf
Modeling Individual Cyclic Variation in Human Behavior.
WWW
Emma Pierson, Tim Althoff, Jure Leskovec
2018 J jnl
Predicting pregnancy using large-scale data from a women's health tracking mobile application.
CoRR
Bo Liu, Shuyang Shi, Yongshang Wu, Daniel Thomas, Laura Symul, Emma Pierson, Jure Leskovec
2017 A* conf
Algorithmic Decision Making and the Cost of Fairness.
KDD
Sam Corbett-Davies, Emma Pierson, Avi Feller, Sharad Goel, Aziz Huq
2017 J jnl
Algorithmic decision making and the cost of fairness.
CoRR
Sam Corbett-Davies, Emma Pierson, Avi Feller, Sharad Goel, Aziz Huq
2017 J jnl
Denoising genome-wide histone ChIP-seq with convolutional neural networks.
Bioinform.
Pang Wei Koh, Emma Pierson, Anshul Kundaje
2017 J jnl
Fast Threshold Tests for Detecting Discrimination.
CoRR
Emma Pierson, Sam Corbett-Davies, Sharad Goel
2017 J jnl
Gender differences in beliefs about algorithmic fairness.
CoRR
Emma Pierson
2017 J jnl
Modeling Individual Cyclic Variation in Human Behavior.
CoRR
Emma Pierson, Tim Althoff, Jure Leskovec
2017 J jnl
SIMLR: a tool for large-scale single-cell analysis by multi-kernel learning.
CoRR
Bo Wang, Daniele Ramazzotti, Luca De Sano, Junjie Zhu, Emma Pierson, Serafim Batzoglou
2015 A conf
Outnumbered but Well-Spoken: Female Commenters in the New York Times.
CSCW
Emma Pierson
2015 J jnl
Sharing and Specificity of Co-expression Networks across 35 Human Tissues.
PLoS Comput. Biol.
Emma Pierson, Daphne Koller, Alexis J. Battle, Sara Mostafavi