Emma Pierson

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 45

Top Topics

Human Interaction

Convolutional Neural Networks

Weighted Averaging

Top Venues

Publications

Gabriel Agostini, Emma Pierson, Nikhil Garg
A Bayesian Spatial Model to Correct Under-Reporting in Urban Crowdsourcing. AAAI (2024)
Rajiv Movva, Sidhika Balachandar, Kenny Peng, Gabriel Agostini, Nikhil Garg, Emma Pierson
Topics, Authors, and Institutions in Large Language Model Research: Trends from 17K arXiv Papers. NAACL-HLT (2024)
Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, Jonathan Ilgen, Emma Pierson, Pang Wei Koh, Yulia Tsvetkov
MEDIQ: Question-Asking LLMs for Adaptive and Reliable Clinical Reasoning. CoRR (2024)
Kenny Peng, Manish Raghavan, Emma Pierson, Jon M. Kleinberg, Nikhil Garg
Reconciling the Accuracy-Diversity Trade-off in Recommendations. WWW (2024)
Rajiv Movva, Pang Wei Koh, Emma Pierson
Annotation alignment: Comparing LLM and human annotations of conversational safety. CoRR (2024)
Sidhika Balachandar, Nikhil Garg, Emma Pierson
Domain constraints improve risk prediction when outcome data is missing. ICLR (2024)
Harini Suresh, Emily Tseng, Meg Young, Mary Gray, Emma Pierson, Karen Levy
Participation in the age of foundation models. FAccT (2024)
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
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. CoRR (2024)
Harini Suresh, Emily Tseng, Meg Young, Mary Gray, Emma Pierson, Karen Levy
Participation in the age of foundation models. CoRR (2024)
Matt Franchi, J. D. Zamfirescu-Pereira, Wendy Ju, Emma Pierson
Detecting disparities in police deployments using dashcam data. CoRR (2023)
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
Use large language models to promote equity. CoRR (2023)
Kenny Peng, Manish Raghavan, Emma Pierson, Jon M. Kleinberg, Nikhil Garg
Reconciling the accuracy-diversity trade-off in recommendations. CoRR (2023)
Rajiv Movva, Sidhika Balachandar, Kenny Peng, Gabriel Agostini, Nikhil Garg, Emma Pierson
Large language models shape and are shaped by society: A survey of arXiv publication patterns. CoRR (2023)
Rajiv Movva, Divya Shanmugam, Kaihua Hou, Priya Pathak, John V. Guttag, Nikhil Garg, Emma Pierson
Coarse race data conceals disparities in clinical risk score performance. CoRR (2023)
Sidhika Balachandar, Nikhil Garg, Emma Pierson
Domain constraints improve risk prediction when outcome data is missing. CoRR (2023)
Gabriel Agostini, Emma Pierson, Nikhil Garg
A Bayesian Spatial Model to Correct Under-Reporting in Urban Crowdsourcing. CoRR (2023)
Rajiv Movva, Divya Shanmugam, Kaihua Hou, Priya Pathak, John V. Guttag, Nikhil Garg, Emma Pierson
Coarse race data conceals disparities in clinical risk score performance. MLHC (2023)
Matt Franchi, J. D. Zamfirescu-Pereira, Wendy Ju, Emma Pierson
Detecting disparities in police deployments using dashcam data. FAccT (2023)
Hamed Nilforoshan, Wenli Looi, Emma Pierson, Blanca Villanueva, Nic Fishman, Yiling Chen, John Sholar, Beth Redbird, David Grusky, Jure Leskovec
Human mobility networks reveal increased segregation in large cities. Nat. 624 (7992) (2023)
Smitha Milli, Emma Pierson, Nikhil Garg
Choosing the Right Weights: Balancing Value, Strategy, and Noise in Recommender Systems. CoRR (2023)
J. D. Zamfirescu-Pereira, Jerry Chen, Emily Wen, Allison Koenecke, Nikhil Garg, Emma Pierson
Trucks Don't Mean Trump: Diagnosing Human Error in Image Analysis. FAccT (2022)
J. D. Zamfirescu-Pereira, Jerry Chen, Emily Wen, Allison Koenecke, Nikhil Garg, Emma Pierson
Trucks Don't Mean Trump: Diagnosing Human Error in Image Analysis. CoRR (2022)
Charvi Rastogi, Ivan Stelmakh, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, Zhenyu Xue, Hal Daumé III, Emma Pierson, Nihar B. Shah
How do Authors' Perceptions of their Papers Compare with Co-authors' Perceptions and Peer-review Decisions? CoRR (2022)
Hamed Nilforoshan, Wenli Looi, Emma Pierson, Blanca Villanueva, Nic Fishman, Yiling Chen, John Sholar, Beth Redbird, David Grusky, Jure Leskovec
Human interaction networks reveal that large cities facilitate segregation. CoRR (2022)
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 Marathe, Jure Leskovec
Supporting COVID-19 Policy Response with Large-scale Mobility-based Modeling. KDD (2021)
Serina Chang, Emma Pierson, Pang Wei Koh, Jaline Gerardin, Beth Redbird, David Grusky, Jure Leskovec
Mobility network models of COVID-19 explain inequities and inform reopening. Nat. 589 (7840) (2021)
Divya Shanmugam, Emma Pierson
Quantifying Inequality in Underreported Medical Conditions. CoRR (2021)
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 Haque, Sara M. Beery, Jure Leskovec, Anshul Kundaje, Emma Pierson, Sergey Levine, Chelsea Finn, Percy Liang
WILDS: A Benchmark of in-the-Wild Distribution Shifts. ICML (2021)
Irene Y. Chen, Emma Pierson, Sherri Rose, Shalmali Joshi, Kadija Ferryman, Marzyeh Ghassemi
Ethical Machine Learning in Health Care. CoRR (2020)
Pang Wei Koh, Thao Nguyen, Yew Siang Tang, Stephen Mussmann, Emma Pierson, Been Kim, Percy Liang
Concept Bottleneck Models. CoRR (2020)
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
WILDS: A Benchmark of in-the-Wild Distribution Shifts. CoRR (2020)
Pang Wei Koh, Thao Nguyen, Yew Siang Tang, Stephen Mussmann, Emma Pierson, Been Kim, Percy Liang
Concept Bottleneck Models. ICML (2020)
Bo Liu, Shuyang Shi, Yongshang Wu, Daniel Thomas, Laura Symul, Emma Pierson, Jure Leskovec
Predicting pregnancy using large-scale datafrom a women's health tracking mobile application. WWW (2019)
Emma Pierson, Pang Wei Koh, Tatsunori B. Hashimoto, Daphne Koller, Jure Leskovec, Nick Eriksson, Percy Liang
Inferring Multidimensional Rates of Aging from Cross-Sectional Data. AISTATS (2019)
Emma Pierson, Sam Corbett-Davies, Sharad Goel
Fast Threshold Tests for Detecting Discrimination. AISTATS (2018)
Emma Pierson, Tim Althoff, Jure Leskovec
Modeling Individual Cyclic Variation in Human Behavior. WWW (2018)
Bo Liu, Shuyang Shi, Yongshang Wu, Daniel Thomas, Laura Symul, Emma Pierson, Jure Leskovec
Predicting pregnancy using large-scale data from a women's health tracking mobile application. CoRR (2018)
Emma Pierson, Pang Wei Koh, Tatsunori B. Hashimoto, Daphne Koller, Jure Leskovec, Nicholas Eriksson, Percy Liang
Inferring Multi-Dimensional Rates of Aging from Cross-Sectional Data. CoRR (2018)
Emma Pierson, Sam Corbett-Davies, Sharad Goel
Fast Threshold Tests for Detecting Discrimination. CoRR (2017)
Emma Pierson
Gender differences in beliefs about algorithmic fairness. CoRR (2017)
Sam Corbett-Davies, Emma Pierson, Avi Feller, Sharad Goel, Aziz Huq
Algorithmic Decision Making and the Cost of Fairness. KDD (2017)
Sam Corbett-Davies, Emma Pierson, Avi Feller, Sharad Goel, Aziz Huq
Algorithmic decision making and the cost of fairness. CoRR (2017)
Bo Wang, Daniele Ramazzotti, Luca De Sano, Junjie Zhu, Emma Pierson, Serafim Batzoglou
SIMLR: a tool for large-scale single-cell analysis by multi-kernel learning. CoRR (2017)
Pang Wei Koh, Emma Pierson, Anshul Kundaje
Denoising genome-wide histone ChIP-seq with convolutional neural networks. Bioinform. 33 (14) (2017)
Emma Pierson, Tim Althoff, Jure Leskovec
Modeling Individual Cyclic Variation in Human Behavior. CoRR (2017)
Emma Pierson
Outnumbered but Well-Spoken: Female Commenters in the New York Times. CSCW (2015)
Emma Pierson, Daphne Koller, Alexis Battle, Sara Mostafavi
Sharing and Specificity of Co-expression Networks across 35 Human Tissues. PLoS Comput. Biol. 11 (5) (2015)