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ORCIDEmma Pierson
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- affiliation: Stanford University, CA, USA
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2020 – today
- 2023
[i15]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)- 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
, 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): 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, Emma Pierson, Jure Leskovec:
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, Sharad Goel, Aziz Huq:
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 2023-04-25 21:46 CEST by the dblp team
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