Seyed A. Esmaeili

31 papers A* 10A 3Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	How to Strategize Human Content Creation in the Era of GenAI? WWW Seyed A. Esmaeili, Kevin Lim, Kshipra Bhawalkar, Zhe Feng, Di Wang, Haifeng Xu
2025	J	`jnl`	Data Auctions for Retrieval Augmented Generation. CoRR Minbiao Han, Seyed A. Esmaeili, Michael Albert, Haifeng Xu
2025	A*	`conf`	Replication-proof Bandit Mechanism Design with Bayesian Agents. AAAI Suho Shin, Seyed A. Esmaeili, MohammadTaghi Hajiaghayi
2025	A	`conf`	Robust Fair Clustering with Group Membership Uncertainty Sets. AISTATS Sharmila Duppala, Juan Luque, John P. Dickerson, Seyed A. Esmaeili
2025	A*	`conf`	Robust Performance Incentivizing Algorithms for Multi-Armed Bandits with Strategic Agents. AAAI Seyed A. Esmaeili, Suho Shin, Aleksandrs Slivkins
2025	—	`conf`	SoK: Fair Clustering: Critique, Caveats, and Future Directions. SaTML John Dickerson, Seyed A. Esmaeili, Jamie Morgenstern, Claire Jie Zhang
2025	J	`jnl`	Welfare-Centric Clustering. CoRR Claire Jie Zhang, Seyed A. Esmaeili, Jamie Morgenstern
2024	J	`jnl`	Fair Clustering: Critique, Caveats, and Future Directions. CoRR John Dickerson, Seyed A. Esmaeili, Jamie Morgenstern, Claire Jie Zhang
2024	J	`jnl`	How to Strategize Human Content Creation in the Era of GenAI? CoRR Seyed A. Esmaeili, Kshipra Bhawalkar, Zhe Feng, Di Wang, Haifeng Xu
2024	A*	`conf`	Implications of Distance over Redistricting Maps: Central and Outlier Maps. AAAI Seyed A. Esmaeili, Darshan Chakrabarti, Hayley Grape, Brian Brubach
2024	J	`jnl`	Robust Fair Clustering with Group Membership Uncertainty Sets. CoRR Sharmila Duppala, Juan Luque, John Dickerson, Seyed A. Esmaeili
2023	A*	`conf`	Doubly Constrained Fair Clustering. NeurIPS John P. Dickerson, Seyed A. Esmaeili, Jamie H. Morgenstern, Claire Jie Zhang
2023	J	`jnl`	Doubly Constrained Fair Clustering. CoRR John P. Dickerson, Seyed A. Esmaeili, Jamie Morgenstern, Claire Jie Zhang
2023	—	`—`	On Algorithms, Fairness, and Incentives. Seyed A. Esmaeili
2023	A*	`conf`	Rawlsian Fairness in Online Bipartite Matching: Two-Sided, Group, and Individual. AAAI Seyed A. Esmaeili, Sharmila Duppala, Davidson Cheng, Vedant Nanda, Aravind Srinivasan, John P. Dickerson
2023	J	`jnl`	Replication-proof Bandit Mechanism Design. CoRR Seyed A. Esmaeili, MohammadTaghi Hajiaghayi, Suho Shin
2023	J	`jnl`	Robust and Performance Incentivizing Algorithms for Multi-Armed Bandits with Strategic Agents. CoRR Seyed A. Esmaeili, Suho Shin, Aleksandrs Slivkins
2022	A	`conf`	A New Notion of Individually Fair Clustering: α-Equitable k-Center. AISTATS Darshan Chakrabarti, John P. Dickerson, Seyed A. Esmaeili, Aravind Srinivasan, Leonidas Tsepenekas
2022	J	`jnl`	Centralized Fairness for Redistricting. CoRR Seyed A. Esmaeili, Hayley Grape, Brian Brubach
2022	A*	`conf`	Fair Labeled Clustering. KDD Seyed A. Esmaeili, Sharmila Duppala, John P. Dickerson, Brian Brubach
2022	J	`jnl`	Fair Labeled Clustering. CoRR Seyed A. Esmaeili, Sharmila Duppala, John P. Dickerson, Brian Brubach
2022	A	`conf`	Rawlsian Fairness in Online Bipartite Matching: Two-sided, Group, and Individual. AAMAS Seyed A. Esmaeili, Sharmila Duppala, Vedant Nanda, Aravind Srinivasan, John P. Dickerson
2022	J	`jnl`	Rawlsian Fairness in Online Bipartite Matching: Two-sided, Group, and Individual. CoRR Seyed A. Esmaeili, Sharmila Duppala, Vedant Nanda, Aravind Srinivasan, John P. Dickerson
2021	J	`jnl`	A New Notion of Individually Fair Clustering: α-Equitable k-Center. CoRR Darshan Chakrabarti, John P. Dickerson, Seyed A. Esmaeili, Aravind Srinivasan, Leonidas Tsepenekas
2021	A*	`conf`	Fair Clustering Under a Bounded Cost. NeurIPS Seyed A. Esmaeili, Brian Brubach, Aravind Srinivasan, John Dickerson
2021	J	`jnl`	Fair Clustering Under a Bounded Cost. CoRR Seyed A. Esmaeili, Brian Brubach, Aravind Srinivasan, John P. Dickerson
2020	A*	`conf`	Probabilistic Fair Clustering. NeurIPS Seyed A. Esmaeili, Brian Brubach, Leonidas Tsepenekas, John Dickerson
2020	J	`jnl`	Probabilistic Fair Clustering. CoRR Seyed A. Esmaeili, Brian Brubach, Leonidas Tsepenekas, John P. Dickerson
2017	A*	`conf`	Fast-At: Fast Automatic Thumbnail Generation Using Deep Neural Networks. CVPR Seyed A. Esmaeili, Bharat Singh, Larry S. Davis
2016	J	`jnl`	Fast-AT: Fast Automatic Thumbnail Generation using Deep Neural Networks. CoRR Seyed A. Esmaeili, Bharat Singh, Larry S. Davis
2013	J	`jnl`	CUDA Fortran acceleration for the finite-difference time-domain method. Comput. Phys. Commun. Mohammed F. Hadi, Seyed A. Esmaeili