Seyed A. Esmaeili

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 22

Top Topics

Content Creation

Manual Labeling

Top Venues

Publications

John Dickerson, Seyed A. Esmaeili, Jamie Morgenstern, Claire Jie Zhang
Fair Clustering: Critique, Caveats, and Future Directions. CoRR (2024)
Seyed A. Esmaeili, Kshipra Bhawalkar, Zhe Feng, Di Wang, Haifeng Xu
How to Strategize Human Content Creation in the Era of GenAI? CoRR (2024)
Seyed A. Esmaeili, Darshan Chakrabarti, Hayley Grape, Brian Brubach
Implications of Distance over Redistricting Maps: Central and Outlier Maps. AAAI (2024)
Sharmila Duppala, Juan Luque, John Dickerson, Seyed A. Esmaeili
Robust Fair Clustering with Group Membership Uncertainty Sets. CoRR (2024)
John P. Dickerson, Seyed A. Esmaeili, Jamie H. Morgenstern, Claire Jie Zhang
Doubly Constrained Fair Clustering. NeurIPS (2023)
John P. Dickerson, Seyed A. Esmaeili, Jamie Morgenstern, Claire Jie Zhang
Doubly Constrained Fair Clustering. CoRR (2023)
Seyed A. Esmaeili, Suho Shin, Aleksandrs Slivkins
Robust and Performance Incentivizing Algorithms for Multi-Armed Bandits with Strategic Agents. CoRR (2023)
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)
Seyed A. Esmaeili, MohammadTaghi Hajiaghayi, Suho Shin
Replication-proof Bandit Mechanism Design. CoRR (2023)
Seyed A. Esmaeili, Sharmila Duppala, Vedant Nanda, Aravind Srinivasan, John P. Dickerson
Rawlsian Fairness in Online Bipartite Matching: Two-sided, Group, and Individual. CoRR (2022)
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)
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)
Seyed A. Esmaeili, Sharmila Duppala, John P. Dickerson, Brian Brubach
Fair Labeled Clustering. CoRR (2022)
Seyed A. Esmaeili, Hayley Grape, Brian Brubach
Centralized Fairness for Redistricting. CoRR (2022)
Seyed A. Esmaeili, Sharmila Duppala, John P. Dickerson, Brian Brubach
Fair Labeled Clustering. KDD (2022)
Darshan Chakrabarti, John P. Dickerson, Seyed A. Esmaeili, Aravind Srinivasan, Leonidas Tsepenekas
A New Notion of Individually Fair Clustering: α-Equitable k-Center. CoRR (2021)
Seyed A. Esmaeili, Brian Brubach, Aravind Srinivasan, John P. Dickerson
Fair Clustering Under a Bounded Cost. CoRR (2021)
Seyed A. Esmaeili, Brian Brubach, Aravind Srinivasan, John Dickerson
Fair Clustering Under a Bounded Cost. NeurIPS (2021)
Seyed A. Esmaeili, Brian Brubach, Leonidas Tsepenekas, John P. Dickerson
Probabilistic Fair Clustering. CoRR (2020)
Seyed A. Esmaeili, Brian Brubach, Leonidas Tsepenekas, John Dickerson
Probabilistic Fair Clustering. NeurIPS (2020)
Seyed A. Esmaeili, Bharat Singh, Larry S. Davis
Fast-At: Fast Automatic Thumbnail Generation Using Deep Neural Networks. CVPR (2017)
Seyed A. Esmaeili, Bharat Singh, Larry S. Davis
Fast-AT: Fast Automatic Thumbnail Generation using Deep Neural Networks. CoRR (2016)
Mohammed F. Hadi, Seyed A. Esmaeili
CUDA Fortran acceleration for the finite-difference time-domain method. Comput. Phys. Commun. 184 (5) (2013)