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ORCIDSeyed A. Esmaeili
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2020 – today
- 2024
[c9]Seyed A. Esmaeili, Darshan Chakrabarti, Hayley Grape, Brian Brubach:
Implications of Distance over Redistricting Maps: Central and Outlier Maps. AAAI 2024: 9679-9687- [i13]Sharmila Duppala, Juan Luque, John Dickerson, Seyed A. Esmaeili:
Robust Fair Clustering with Group Membership Uncertainty Sets. CoRR abs/2406.00599 (2024) - [i12]Seyed A. Esmaeili, Kshipra Bhawalkar, Zhe Feng, Di Wang, Haifeng Xu:
How to Strategize Human Content Creation in the Era of GenAI? CoRR abs/2406.05187 (2024) - [i11]John Dickerson, Seyed A. Esmaeili, Jamie Morgenstern, Claire Jie Zhang:
Fair Clustering: Critique, Caveats, and Future Directions. CoRR abs/2406.15960 (2024) - 2023
- [b1]Seyed A. Esmaeili:
On Algorithms, Fairness, and Incentives. University of Maryland, College Park, MD, USA, 2023 - [c8]Seyed A. Esmaeili, Sharmila Duppala, Davidson Cheng, Vedant Nanda, Aravind Srinivasan, John P. Dickerson:
Rawlsian Fairness in Online Bipartite Matching: Two-Sided, Group, and Individual. AAAI 2023: 5624-5632 - [c7]John P. Dickerson, Seyed A. Esmaeili, Jamie H. Morgenstern, Claire Jie Zhang:
Doubly Constrained Fair Clustering. NeurIPS 2023 - [i10]John P. Dickerson, Seyed A. Esmaeili, Jamie Morgenstern, Claire Jie Zhang:
Doubly Constrained Fair Clustering. CoRR abs/2305.19475 (2023) - [i9]Seyed A. Esmaeili, Suho Shin, Aleksandrs Slivkins:
Robust and Performance Incentivizing Algorithms for Multi-Armed Bandits with Strategic Agents. CoRR abs/2312.07929 (2023) - [i8]Seyed A. Esmaeili, MohammadTaghi Hajiaghayi, Suho Shin:
Replication-proof Bandit Mechanism Design. CoRR abs/2312.16896 (2023) - 2022
- [c6]Darshan Chakrabarti, John P. Dickerson, Seyed A. Esmaeili, Aravind Srinivasan, Leonidas Tsepenekas:
A New Notion of Individually Fair Clustering: α-Equitable k-Center. AISTATS 2022: 6387-6408 - [c5]Seyed A. Esmaeili, Sharmila Duppala, Vedant Nanda, Aravind Srinivasan, John P. Dickerson:
Rawlsian Fairness in Online Bipartite Matching: Two-sided, Group, and Individual. AAMAS 2022: 1583-1585 - [c4]Seyed A. Esmaeili, Sharmila Duppala, John P. Dickerson, Brian Brubach:
Fair Labeled Clustering. KDD 2022: 327-335 - [i7]Seyed A. Esmaeili, Sharmila Duppala, Vedant Nanda, Aravind Srinivasan, John P. Dickerson:
Rawlsian Fairness in Online Bipartite Matching: Two-sided, Group, and Individual. CoRR abs/2201.06021 (2022) - [i6]Seyed A. Esmaeili, Hayley Grape, Brian Brubach:
Centralized Fairness for Redistricting. CoRR abs/2203.00872 (2022) - [i5]Seyed A. Esmaeili, Sharmila Duppala, John P. Dickerson, Brian Brubach:
Fair Labeled Clustering. CoRR abs/2205.14358 (2022) - 2021
- [c3]Seyed A. Esmaeili, Brian Brubach, Aravind Srinivasan, John Dickerson:
Fair Clustering Under a Bounded Cost. NeurIPS 2021: 14345-14357 - [i4]Darshan Chakrabarti, John P. Dickerson, Seyed A. Esmaeili, Aravind Srinivasan, Leonidas Tsepenekas:
A New Notion of Individually Fair Clustering: α-Equitable k-Center. CoRR abs/2106.05423 (2021) - [i3]Seyed A. Esmaeili, Brian Brubach, Aravind Srinivasan, John P. Dickerson:
Fair Clustering Under a Bounded Cost. CoRR abs/2106.07239 (2021) - 2020
- [c2]Seyed A. Esmaeili, Brian Brubach, Leonidas Tsepenekas, John Dickerson:
Probabilistic Fair Clustering. NeurIPS 2020 - [i2]Seyed A. Esmaeili, Brian Brubach, Leonidas Tsepenekas, John P. Dickerson:
Probabilistic Fair Clustering. CoRR abs/2006.10916 (2020)
2010 – 2019
- 2017
- [c1]Seyed A. Esmaeili, Bharat Singh, Larry S. Davis:
Fast-At: Fast Automatic Thumbnail Generation Using Deep Neural Networks. CVPR 2017: 4178-4186 - 2016
- [i1]Seyed A. Esmaeili, Bharat Singh, Larry S. Davis:
Fast-AT: Fast Automatic Thumbnail Generation using Deep Neural Networks. CoRR abs/1612.04811 (2016) - 2013
- [j1]Mohammed F. Hadi, Seyed A. Esmaeili:
CUDA Fortran acceleration for the finite-difference time-domain method. Comput. Phys. Commun. 184(5): 1395-1400 (2013)
Coauthor Index
aka: John P. Dickerson
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