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Emma Pierson
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- affiliation: Stanford University, CA, USA
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2020 – today
- 2024
- [c19]Gabriel Agostini, Emma Pierson, Nikhil Garg:
A Bayesian Spatial Model to Correct Under-Reporting in Urban Crowdsourcing. AAAI 2024: 21888-21896 - [c18]Rajiv Movva, Pang Wei Koh, Emma Pierson:
Annotation alignment: Comparing LLM and human annotations of conversational safety. EMNLP 2024: 9048-9062 - [c17]Harini Suresh
, Emily Tseng
Participation in the age of foundation models. FAccT 2024: 1609-1621 - [c16]Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, Emma Pierson, Pang Wei Koh, Yulia Tsvetkov:
Beyond the Stethoscope: Operationalizing Interactive Clinical Reasoning in Large Language Models via Proactive Information Seeking. ICHI 2024: 567 - [c15]Sidhika Balachandar, Nikhil Garg, Emma Pierson:
Domain constraints improve risk prediction when outcome data is missing. ICLR 2024 - [c14]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: 1223-1243 - [c13]Kenny Peng
Reconciling the Accuracy-Diversity Trade-off in Recommendations. WWW 2024: 1318-1329 - [i28]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
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. CoRR abs/2403.01628 (2024) - [i27]Harini Suresh, Emily Tseng, Meg Young, Mary L. Gray, Emma Pierson, Karen Levy:
Participation in the age of foundation models. CoRR abs/2405.19479 (2024) - [i26]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 abs/2406.00922 (2024) - [i25]Rajiv Movva, Pang Wei Koh, Emma Pierson:
Annotation alignment: Comparing LLM and human annotations of conversational safety. CoRR abs/2406.06369 (2024) - [i24]Serina Chang, Alicja Chaszczewicz, Emma Wang, Maya Josifovska, Emma Pierson, Jure Leskovec:
LLMs generate structurally realistic social networks but overestimate political homophily. CoRR abs/2408.16629 (2024) - [i23]Nora Gera, Emma Pierson:
Testing for racial bias using inconsistent perceptions of race. CoRR abs/2409.11269 (2024) - 2023
- [j4]Hamed Nilforoshan, Wenli Looi, Emma Pierson, Blanca Villanueva
Human mobility networks reveal increased segregation in large cities. Nat. 624(7992): 586-592 (2023) - [c12]Matt Franchi
Detecting disparities in police deployments using dashcam data. FAccT 2023: 534-544 - [c11]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: 443-472 - [i22]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 abs/2304.09270 (2023) - [i21]Matt Franchi, J. D. Zamfirescu-Pereira, Wendy Ju, Emma Pierson:
Detecting disparities in police deployments using dashcam data. CoRR abs/2305.15210 (2023) - [i20]Smitha Milli, Emma Pierson, Nikhil Garg:
Choosing the Right Weights: Balancing Value, Strategy, and Noise in Recommender Systems. CoRR abs/2305.17428 (2023) - [i19]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 abs/2307.10700 (2023) - [i18]Kenny Peng, Manish Raghavan, Emma Pierson, Jon M. Kleinberg, Nikhil Garg:
Reconciling the accuracy-diversity trade-off in recommendations. CoRR abs/2307.15142 (2023) - [i17]Sidhika Balachandar, Nikhil Garg, Emma Pierson:
Domain constraints improve risk prediction when outcome data is missing. CoRR abs/2312.03878 (2023) - [i16]Gabriel Agostini, Emma Pierson, Nikhil Garg:
A Bayesian Spatial Model to Correct Under-Reporting in Urban Crowdsourcing. CoRR abs/2312.11754 (2023) - [i15]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
Use large language models to promote equity. CoRR abs/2312.14804 (2023) - 2022
- [c10]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: 799-813 - [i14]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 abs/2205.07333 (2022) - [i13]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 abs/2210.07414 (2022) - [i12]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 abs/2211.12966 (2022) - 2021
- [j3]Serina Chang
Mobility network models of COVID-19 explain inequities and inform reopening. Nat. 589(7840): 82-87 (2021) - [c9]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:
WILDS: A Benchmark of in-the-Wild Distribution Shifts. ICML 2021: 5637-5664 - [c8]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
Supporting COVID-19 Policy Response with Large-scale Mobility-based Modeling. KDD 2021: 2632-2642 - [e1]Marzyeh Ghassemi, Tristan Naumann, Emma Pierson:
ACM CHIL '21: ACM Conference on Health, Inference, and Learning, Virtual Event, USA, April 8-9, 2021. ACM 2021, ISBN 978-1-4503-8359-2 [contents] - [i11]Divya Shanmugam, Emma Pierson:
Quantifying Inequality in Underreported Medical Conditions. CoRR abs/2110.04133 (2021) - 2020
- [b1]Emma Pierson:
Data science for social equality. Stanford University, USA, 2020 - [c7]Pang Wei Koh, Thao Nguyen, Yew Siang Tang, Stephen Mussmann, Emma Pierson, Been Kim, Percy Liang:
Concept Bottleneck Models. ICML 2020: 5338-5348 - [i10]Pang Wei Koh, Thao Nguyen, Yew Siang Tang, Stephen Mussmann, Emma Pierson, Been Kim, Percy Liang:
Concept Bottleneck Models. CoRR abs/2007.04612 (2020) - [i9]Irene Y. Chen, Emma Pierson, Sherri Rose, Shalmali Joshi, Kadija Ferryman, Marzyeh Ghassemi:
Ethical Machine Learning in Health Care. CoRR abs/2009.10576 (2020) - [i8]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 abs/2012.07421 (2020)
2010 – 2019
- 2019
- [c6]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: 97-107 - [c5]Bo Liu, Shuyang Shi, Yongshang Wu, Daniel Thomas, Laura Symul
Predicting pregnancy using large-scale datafrom a women's health tracking mobile application. WWW 2019: 2999-3005 - 2018
- [c4]Emma Pierson, Sam Corbett-Davies, Sharad Goel:
Fast Threshold Tests for Detecting Discrimination. AISTATS 2018: 96-105 - [c3]Emma Pierson, Tim Althoff, Jure Leskovec:
Modeling Individual Cyclic Variation in Human Behavior. WWW 2018: 107-116 - [i7]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 abs/1807.04709 (2018) - [i6]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 abs/1812.02222 (2018) - 2017
- [j2]Pang Wei Koh, Emma Pierson, Anshul Kundaje
Denoising genome-wide histone ChIP-seq with convolutional neural networks. Bioinform. 33(14): i225-i233 (2017) - [c2]Sam Corbett-Davies, Emma Pierson, Avi Feller
Algorithmic Decision Making and the Cost of Fairness. KDD 2017: 797-806 - [i5]Sam Corbett-Davies, Emma Pierson, Avi Feller, Sharad Goel, Aziz Huq:
Algorithmic decision making and the cost of fairness. CoRR abs/1701.08230 (2017) - [i4]Emma Pierson, Sam Corbett-Davies, Sharad Goel:
Fast Threshold Tests for Detecting Discrimination. CoRR abs/1702.08536 (2017) - [i3]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 abs/1703.07844 (2017) - [i2]Emma Pierson, Tim Althoff, Jure Leskovec:
Modeling Individual Cyclic Variation in Human Behavior. CoRR abs/1712.05748 (2017) - [i1]Emma Pierson:
Gender differences in beliefs about algorithmic fairness. CoRR abs/1712.09124 (2017) - 2015
- [j1]Emma Pierson, Daphne Koller, Alexis J. Battle, Sara Mostafavi
Sharing and Specificity of Co-expression Networks across 35 Human Tissues. PLoS Comput. Biol. 11(5) (2015) - [c1]Emma Pierson:
Outnumbered but Well-Spoken: Female Commenters in the New York Times. CSCW 2015: 1201-1213
Coauthor Index
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last updated on 2024-11-15 19:35 CET by the dblp team
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