Benjamin Fish

38 papers A* 4A 3B 1C 1Misc 4Journal 19Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Centralization vs Decentralization in Hiring and Admissions.
CoRR
Benjamin Fish, Diptangshu Sen, Juba Ziani
2025 A* conf
Equal Merit Does Not Imply Equality: Discrimination at Equilibrium in a Hiring Market with Symmetric Agents.
AAAI
Serafina Kamp, Benjamin Fish
2025 J jnl
Last-Iterate Convergence of No-Regret Learning for Equilibria in Bargaining Games.
CoRR
Serafina Kamp, Reese Liebman, Benjamin Fish
2025 J jnl
RelAItionship Building: Analyzing Recruitment Strategies for Participatory AI.
CoRR
Eugene Kim, Vaibhav Balloli, Berelian Karimian, Elizabeth Bondi-Kelly, Benjamin Fish
2024 J jnl
Equal Merit Does Not Imply Equality: Discrimination at Equilibrium in a Hiring Market with Symmetric Agents.
CoRR
Serafina Kamp, Benjamin Fish
2023 — conf
Beliefs, Relationships, and Equality: An Alternative Source of Discrimination in a Symmetric Hiring Market via Threats.
PKDD/ECML Workshops (1)
Serafina Kamp, Therese Nkeng, Vicente Riquelme, Benjamin Fish
2023 — conf
On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks.
LoG
Donald Loveland, Jiong Zhu, Mark Heimann, Benjamin Fish, Michael T. Schaub, Danai Koutra
2023 J jnl
On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks.
CoRR
Donald Loveland, Jiong Zhu, Mark Heimann, Benjamin Fish, Michael T. Schaub, Danai Koutra
2022 — conf
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
Benjamin Fish, Luke Stark
2022 J jnl
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
Benjamin Fish, Luke Stark
2022 J jnl
On Graph Neural Network Fairness in the Presence of Heterophilous Neighborhoods.
CoRR
Donald Loveland, Jiong Zhu, Mark Heimann, Benjamin Fish, Michael T. Schaub, Danai Koutra
2021 C conf
Reflexive Design for Fairness and Other Human Values in Formal Models.
AIES
Benjamin Fish, Luke Stark
2021 J jnl
Responsible computing during COVID-19 and beyond.
Commun. ACM
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
2020 J jnl
On the Complexity of Learning a Class Ratio from Unlabeled Data.
J. Artif. Intell. Res.
Benjamin Fish, Lev Reyzin
2020 J jnl
On the Complexity of Learning from Label Proportions.
CoRR
Benjamin Fish, Lev Reyzin
2020 J jnl
Reflexive Design for Fairness and Other Human Values in Formal Models.
CoRR
Benjamin Fish, Luke Stark
2020 B conf
Sampling Without Compromising Accuracy in Adaptive Data Analysis.
ALT
Benjamin Fish, Lev Reyzin, Benjamin I. P. Rubinstein
2020 — conf
The effects of competition and regulation on error inequality in data-driven markets.
FAT*
Hadi Elzayn, Benjamin Fish
2020 — conf
When not to design, build, or deploy.
FAT*
Solon Barocas, Asia J. Biega, Benjamin Fish, Jedrzej Niklas, Luke Stark
2019 J jnl
Gaps in Information Access in Social Networks.
CoRR
Benjamin Fish, Ashkan Bashardoust, danah boyd, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian
2019 A* conf
Gaps in Information Access in Social Networks?
WWW
Benjamin Fish, Ashkan Bashardoust, danah boyd, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian
2018 Misc conf
Sublinear-Time Adaptive Data Analysis.
ISAIM
Benjamin Fish, Lev Reyzin, Benjamin I. P. Rubinstein
2017 J jnl
A supervised approach to time scale detection in dynamic networks.
CoRR
Benjamin Fish, Rajmonda Sulo Caceres
2017 J jnl
Betweenness centrality profiles in trees.
J. Complex Networks
Benjamin Fish, Rahul Kushwaha, György Turán
2017 A* conf
On the Complexity of Learning from Label Proportions.
IJCAI
Benjamin Fish, Lev Reyzin
2017 A* conf
Open Problem: Meeting Times for Learning Random Automata.
COLT
Benjamin Fish, Lev Reyzin
2017 J jnl
Sublinear-Time Adaptive Data Analysis.
CoRR
Benjamin Fish, Lev Reyzin, Benjamin I. P. Rubinstein
2016 A conf
A Confidence-Based Approach for Balancing Fairness and Accuracy.
SDM
Benjamin Fish, Jeremy Kun, Ádám Dániel Lelkes
2016 J jnl
A Confidence-Based Approach for Balancing Fairness and Accuracy.
CoRR
Benjamin Fish, Jeremy Kun, Ádám Dániel Lelkes
2016 J jnl
Betweenness centrality profiles in trees.
CoRR
Benjamin Fish, Rahul Kushwaha, György Turán
2016 A conf
Recovering Social Networks by Observing Votes.
AAMAS
Benjamin Fish, Yi Huang, Lev Reyzin
2016 Misc conf
Recovering Social Networks by Observing Votes.
ISAIM
Benjamin Fish, Yi Huang, Lev Reyzin
2015 — conf
Handling Oversampling in Dynamic Networks Using Link Prediction.
ECML/PKDD (2)
Benjamin Fish, Rajmonda Sulo Caceres
2015 J jnl
Handling oversampling in dynamic networks using link prediction.
CoRR
Benjamin Fish, Rajmonda Sulo Caceres
2015 A conf
On the Computational Complexity of MapReduce.
DISC
Benjamin Fish, Jeremy Kun, Ádám Dániel Lelkes, Lev Reyzin, György Turán
2014 Misc conf
CSPs and Connectedness: P/NP Dichotomy for Idempotent, Right Quasigroups.
SYNASC
Robert W. McGrail, James M. Belk, Solomon Garber, Japheth Wood, Benjamin Fish
2014 J jnl
On the Computational Complexity of MapReduce.
CoRR
Benjamin Fish, Jeremy Kun, Ádám Dániel Lelkes, Lev Reyzin, György Turán
2012 Misc conf
Feature selection based on mutual information for human activity recognition.
ICASSP
Benjamin Fish, Ammar Khan, Mohamed Nabil Hajj Chehade, Chieh Chien, Gregory J. Pottie