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Journal Articles
- 2021
[j3]Solon Barocas
, Asia J. Biega, Margarita Boyarskaya, Kate Crawford, Hal Daumé III, Miroslav Dudík, Benjamin Fish, Mary L. Gray, Brent J. Hecht, Alexandra Olteanu, Forough Poursabzi-Sangdeh, Luke Stark, Jennifer Wortman Vaughan, Hanna M. Wallach, Marion Zepf:
Responsible computing during COVID-19 and beyond. Commun. ACM 64(7): 30-32 (2021)- 2020
- [j2]Benjamin Fish, Lev Reyzin:
On the Complexity of Learning a Class Ratio from Unlabeled Data. J. Artif. Intell. Res. 69: 1333-1349 (2020) - 2017
- [j1]Benjamin Fish, Rahul Kushwaha, György Turán:
Betweenness centrality profiles in trees. J. Complex Networks 5(5): 776-794 (2017)
Conference and Workshop Papers
- 2023
- [c17]Donald Loveland, Jiong Zhu, Mark Heimann, Benjamin Fish, Michael T. Schaub, Danai Koutra:
On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks. LoG 2023: 6 - 2022
- [c16]Benjamin Fish, Luke Stark:
It's Not Fairness, and It's Not Fair: The Failure of Distributional Equality and the Promise of Relational Equality in Complete-Information Hiring Games. EAAMO 2022: 11:1-11:15 - 2021
- [c15]Benjamin Fish, Luke Stark:
Reflexive Design for Fairness and Other Human Values in Formal Models. AIES 2021: 89-99 - 2020
- [c14]Benjamin Fish, Lev Reyzin, Benjamin I. P. Rubinstein:
Sampling Without Compromising Accuracy in Adaptive Data Analysis. ALT 2020: 297-318 - [c13]Hadi Elzayn, Benjamin Fish:
The effects of competition and regulation on error inequality in data-driven markets. FAT* 2020: 669-679 - [c12]Solon Barocas, Asia J. Biega, Benjamin Fish, Jedrzej Niklas, Luke Stark:
When not to design, build, or deploy. FAT* 2020: 695 - 2019
- [c11]Benjamin Fish, Ashkan Bashardoust, danah boyd, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian:
Gaps in Information Access in Social Networks? WWW 2019: 480-490 - 2018
- [c10]Benjamin Fish, Lev Reyzin, Benjamin I. P. Rubinstein:
Sublinear-Time Adaptive Data Analysis. ISAIM 2018 - 2017
- [c9]Benjamin Fish, Lev Reyzin:
Open Problem: Meeting Times for Learning Random Automata. COLT 2017: 8-11 - [c8]Benjamin Fish, Lev Reyzin:
On the Complexity of Learning from Label Proportions. IJCAI 2017: 1675-1681 - 2016
- [c7]Benjamin Fish, Yi Huang, Lev Reyzin:
Recovering Social Networks by Observing Votes. AAMAS 2016: 376-384 - [c6]Benjamin Fish, Yi Huang, Lev Reyzin:
Recovering Social Networks by Observing Votes. ISAIM 2016 - [c5]Benjamin Fish, Jeremy Kun, Ádám Dániel Lelkes:
A Confidence-Based Approach for Balancing Fairness and Accuracy. SDM 2016: 144-152 - 2015
- [c4]Benjamin Fish, Rajmonda Sulo Caceres:
Handling Oversampling in Dynamic Networks Using Link Prediction. ECML/PKDD (2) 2015: 671-686 - [c3]Benjamin Fish, Jeremy Kun, Ádám Dániel Lelkes, Lev Reyzin, György Turán:
On the Computational Complexity of MapReduce. DISC 2015: 1-15 - 2014
- [c2]Robert W. McGrail, James M. Belk, Solomon Garber, Japheth Wood, Benjamin Fish:
CSPs and Connectedness: P/NP Dichotomy for Idempotent, Right Quasigroups. SYNASC 2014: 367-374 - 2012
- [c1]Benjamin Fish, Ammar Khan, Mohamed Nabil Hajj Chehade, Chieh Chien, Gregory J. Pottie:
Feature selection based on mutual information for human activity recognition. ICASSP 2012: 1729-1732
Informal and Other Publications
- 2023
- [i12]Donald Loveland, Jiong Zhu, Mark Heimann, Benjamin Fish, Michael T. Schaub, Danai Koutra:
On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks. CoRR abs/2306.05557 (2023) - 2022
- [i11]Donald Loveland, Jiong Zhu, Mark Heimann, Benjamin Fish, Michael T. Schaub, Danai Koutra:
On Graph Neural Network Fairness in the Presence of Heterophilous Neighborhoods. CoRR abs/2207.04376 (2022) - [i10]Benjamin Fish, Luke Stark:
It's Not Fairness, and It's Not Fair: The Failure of Distributional Equality and the Promise of Relational Equality in Complete-Information Hiring Games. CoRR abs/2209.05602 (2022) - 2020
- [i9]Benjamin Fish, Lev Reyzin:
On the Complexity of Learning from Label Proportions. CoRR abs/2004.03515 (2020) - [i8]Benjamin Fish, Luke Stark:
Reflexive Design for Fairness and Other Human Values in Formal Models. CoRR abs/2010.05084 (2020) - 2019
- [i7]Benjamin Fish, Ashkan Bashardoust, danah boyd, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian:
Gaps in Information Access in Social Networks. CoRR abs/1903.02047 (2019) - 2017
- [i6]Benjamin Fish, Rajmonda Sulo Caceres:
A supervised approach to time scale detection in dynamic networks. CoRR abs/1702.07752 (2017) - [i5]Benjamin Fish, Lev Reyzin, Benjamin I. P. Rubinstein:
Sublinear-Time Adaptive Data Analysis. CoRR abs/1709.09778 (2017) - 2016
- [i4]Benjamin Fish, Jeremy Kun, Ádám Dániel Lelkes:
A Confidence-Based Approach for Balancing Fairness and Accuracy. CoRR abs/1601.05764 (2016) - [i3]Benjamin Fish, Rahul Kushwaha, György Turán:
Betweenness centrality profiles in trees. CoRR abs/1607.02334 (2016) - 2015
- [i2]Benjamin Fish, Rajmonda Sulo Caceres:
Handling oversampling in dynamic networks using link prediction. CoRR abs/1504.06667 (2015) - 2014
- [i1]Benjamin Fish, Jeremy Kun, Ádám Dániel Lelkes, Lev Reyzin, György Turán:
On the Computational Complexity of MapReduce. CoRR abs/1410.0245 (2014)
Coauthor Index
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