Benjamin Fish

According to our database, Benjamin Fish authored at least 21 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks.

Donald Loveland, Jiong Zhu, Mark Heimann, Benjamin Fish, Michael T. Schaub, Danai Koutra

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

2022

On Graph Neural Network Fairness in the Presence of Heterophilous Neighborhoods.

Donald Loveland, Jiong Zhu, Mark Heimann, Benjamin Fish, Michael T. Schaub, Danai Koutra

CoRR, 2022

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.

Benjamin Fish, Luke Stark

Proceedings of the Equity and Access in Algorithms, Mechanisms, and Optimization, 2022

2021

Responsible computing during COVID-19 and beyond.

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

Commun. ACM, 2021

Reflexive Design for Fairness and Other Human Values in Formal Models.

Benjamin Fish, Luke Stark

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

On the Complexity of Learning a Class Ratio from Unlabeled Data.

Benjamin Fish, Lev Reyzin

J. Artif. Intell. Res., 2020

The effects of competition and regulation on error inequality in data-driven markets.

Hadi Elzayn, Benjamin Fish

Proceedings of the FAT* '20: Conference on Fairness, 2020

When not to design, build, or deploy.

Solon Barocas, Asia J. Biega, Benjamin Fish, Jedrzej Niklas, Luke Stark

Proceedings of the FAT* '20: Conference on Fairness, 2020

Sampling Without Compromising Accuracy in Adaptive Data Analysis.

Benjamin Fish, Lev Reyzin, Benjamin I. P. Rubinstein

Proceedings of the Algorithmic Learning Theory, 2020

2019

Gaps in Information Access in Social Networks?

Benjamin Fish, Ashkan Bashardoust, danah boyd, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian

Proceedings of the World Wide Web Conference, 2019

2018

Sublinear-Time Adaptive Data Analysis.

Benjamin Fish, Lev Reyzin, Benjamin I. P. Rubinstein

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2018

2017

A supervised approach to time scale detection in dynamic networks.

Benjamin Fish, Rajmonda Sulo Caceres

CoRR, 2017

Betweenness centrality profiles in trees.

Benjamin Fish, Rahul Kushwaha, György Turán

J. Complex Networks, 2017

On the Complexity of Learning from Label Proportions.

Benjamin Fish, Lev Reyzin

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Open Problem: Meeting Times for Learning Random Automata.

Benjamin Fish, Lev Reyzin

Proceedings of the 30th Conference on Learning Theory, 2017

2016

A Confidence-Based Approach for Balancing Fairness and Accuracy.

Benjamin Fish, Jeremy Kun, Ádám Dániel Lelkes

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Recovering Social Networks by Observing Votes.

Benjamin Fish, Yi Huang, Lev Reyzin

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2016

2015

On the Computational Complexity of MapReduce.

Benjamin Fish, Jeremy Kun, Ádám Dániel Lelkes, Lev Reyzin, György Turán

Proceedings of the Distributed Computing - 29th International Symposium, 2015

Handling Oversampling in Dynamic Networks Using Link Prediction.

Benjamin Fish, Rajmonda Sulo Caceres

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

2014

CSPs and Connectedness: P/NP Dichotomy for Idempotent, Right Quasigroups.

Robert W. McGrail, James M. Belk, Solomon Garber, Japheth Wood, Benjamin Fish

Proceedings of the 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2014

2012

Feature selection based on mutual information for human activity recognition.

Benjamin Fish, Ammar Khan, Mohamed Nabil Hajj Chehade, Chieh Chien, Gregory J. Pottie

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012