Seyed A. Esmaeili

According to our database, Seyed A. Esmaeili authored at least 18 papers between 2013 and 2024.

Collaborative distances:

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

2024

Fair Clustering: Critique, Caveats, and Future Directions.

John Dickerson, Seyed A. Esmaeili, Jamie Morgenstern, Claire Jie Zhang

CoRR, 2024

How to Strategize Human Content Creation in the Era of GenAI?

Seyed A. Esmaeili, Kshipra Bhawalkar, Zhe Feng, Di Wang, Haifeng Xu

CoRR, 2024

Robust Fair Clustering with Group Membership Uncertainty Sets.

Sharmila Duppala, Juan Luque, John Dickerson, Seyed A. Esmaeili

CoRR, 2024

Implications of Distance over Redistricting Maps: Central and Outlier Maps.

Seyed A. Esmaeili, Darshan Chakrabarti, Hayley Grape, Brian Brubach

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

On Algorithms, Fairness, and Incentives.

Seyed A. Esmaeili

PhD thesis, 2023

Replication-proof Bandit Mechanism Design.

Seyed A. Esmaeili, MohammadTaghi Hajiaghayi, Suho Shin

CoRR, 2023

Robust and Performance Incentivizing Algorithms for Multi-Armed Bandits with Strategic Agents.

Seyed A. Esmaeili, Suho Shin, Aleksandrs Slivkins

CoRR, 2023

Doubly Constrained Fair Clustering.

John P. Dickerson, Seyed A. Esmaeili, Jamie Morgenstern, Claire Jie Zhang

CoRR, 2023

Doubly Constrained Fair Clustering.

John P. Dickerson, Seyed A. Esmaeili, Jamie H. Morgenstern, Claire Jie Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Rawlsian Fairness in Online Bipartite Matching: Two-Sided, Group, and Individual.

Seyed A. Esmaeili, Sharmila Duppala, Davidson Cheng, Vedant Nanda, Aravind Srinivasan, John P. Dickerson

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Centralized Fairness for Redistricting.

Seyed A. Esmaeili, Hayley Grape, Brian Brubach

CoRR, 2022

Fair Labeled Clustering.

Seyed A. Esmaeili, Sharmila Duppala, John P. Dickerson, Brian Brubach

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Rawlsian Fairness in Online Bipartite Matching: Two-sided, Group, and Individual.

Seyed A. Esmaeili, Sharmila Duppala, Vedant Nanda, Aravind Srinivasan, John P. Dickerson

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

A New Notion of Individually Fair Clustering: α-Equitable k-Center.

Darshan Chakrabarti, John P. Dickerson, Seyed A. Esmaeili, Aravind Srinivasan, Leonidas Tsepenekas

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Fair Clustering Under a Bounded Cost.

Seyed A. Esmaeili, Brian Brubach, Aravind Srinivasan, John Dickerson

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Probabilistic Fair Clustering.

Seyed A. Esmaeili, Brian Brubach, Leonidas Tsepenekas, John Dickerson

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2017

Fast-At: Fast Automatic Thumbnail Generation Using Deep Neural Networks.

Seyed A. Esmaeili, Bharat Singh, Larry S. Davis

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2013

CUDA Fortran acceleration for the finite-difference time-domain method.

Mohammed F. Hadi, Seyed A. Esmaeili

Comput. Phys. Commun., 2013