Metric Distortion with Preference Intensities
By Mehrad Abbaszadeh, Ali Ansarifar, Mohamad Latifian, and Masoud Seddighin Working paper.
Publications
Working paper.- Optimal Metric Distortion for Matching on the Line [ Paper ]By Aris Filos-Ratsikas, Vasilis Gkatzelis, Mohamad Latifian, Emma Rewinski, and Alexandros Voudouris
Working paper. - Temporal Fair Division of Indivisible Items [ Paper ]By Edith Elkind, Alexander Lam, Mohamad Latifian, Tzeh Yuan Neoh, and Nicholas Teh
In AAMAS '25: Proc. of the 24th International Conference on Autonomous Agents and Multiagent Systems (Forthcoming) - Towards Fair and Efficient Public Transportation: A Bus Stop Model [ Paper ]By Martin Bullinger, Edith Elkind, and Mohamad Latifian
In AAMAS '25: Proc. of the 24th International Conference on Autonomous Agents and Multiagent Systems (Forthcoming) - Fair Division with Market Values [ Paper ]By Siddharth Barman, Soroush Ebadian, Mohamad Latifian, and Nisarg Shah
In AAAI '25: Proc. of 39th AAAI Conference on Artificial Intelligence (Forthcoming) - Public Spirited Participatory Budgeting [ Paper ]By Mark Bedaywi, Bailey Flanigan, Mohamad Latifian, and Nisarg Shah
In AAAI '25: Proc. of 39th AAAI Conference on Artificial Intelligence (Forthcoming) - The Distortion of Threshold Approval Matching [ Paper ]By Mohamad Latifian, and Alexandros Voudouris
In IJCAI '24: Proc.of the33rd International Joint Conference on Artificial Intelligence, pp. 2851–2859. - Computational Aspects of Distortion [ Paper ]By Aris Filos-Ratsikas, Soroush Ebadian, Mohamad Latifian, and Nisarg Shah
In AAMAS '24: Proc.of the23rd International Conference on Autonomous Agents and Multi-AgentSystems, pp. 1–14. - Explainable and Efficient Randomized Voting Rules [ Paper ]By Aris Filos-Ratsikas, Soroush Ebadian, Mohamad Latifian, and Nisarg Shah
In NeurIPS '23: Proc. of 37th Conference on Neural Information Processing Systems, 36. - Best of Both Distortion Worlds [ Paper ]By Vasilis Gkatzelis, Mohamad Latifian, and Nisarg Shah
In EC '23: Proc. of the 24th ACM Conference on Economics and Computation, pp. 738–758. - The Distortion of Approval Voting with Runoff [ Paper ]By Soroush Ebadian, Mohamad Latifian, and Nisarg Shah
In AAMAS '23: Proc. of the 22nd International Conference on Autonomous Agents and Multiagent Systems, pp. 1752–1760. - Voting with Preference Intensities [ Paper ]By Anson Khang, Mohamad Latifian, and Nisarg Shah
In AAAI '23: Proc. of 37th AAAI Conference on Artificial Intelligence, pp. 5697–5704, 2023 - Distortion in Voting with Top-t Preferences [ Paper ]By Allan Borodin, Daniel Halpern, Mohamad Latifian, and Nisarg Shah
In IJCAI '22: Proc. of 31st International Joint Conference on Artificial Intelligence, pp. 116-122 - Almost Envy-freeness, Envy-rank, and Nash Social Welfare Matchings [ Paper | Full Version ]By Alireza Farhadi, Mohammadtaghi Hajiaghayi, Mohamad Latifian, Masoud Seddighin, and Hadi Yami
In AAAI '21: Proc. of the 35th AAAI Conference on Artificial Intelligence, pp. 5355-5362. - On the Distortion Value of Elections with Abstention [ Paper ]By Mohammad Ghodsi, Mohamad Latifian, and Masoud Seddighin
Journal of Artificial Intelligence Research, 70, pp. 567-595. By George Christodoulou, Vasilis Gkatzelis, Mohamad Latifian, and Alkmini Sgouritsa
In EC '20: Proc. of the 21st ACM conference on economics and computation, pp. 81-107.- On the Distortion Value of the Elections with Abstention [ Paper | Full Version | Slides ]By Mohammad Ghodsi, Mohamad Latifian, and Masoud Seddighin
In AAAI '19: Proc. of the 33rd AAAI Conference on Artificial Intelligence, pp. 1981-1988. By Mohammad Ghodsi, Mohamad Latifian, Arman Mohammadi, Sadra Moradian, and Masoud Seddighin
In COCOA '18: Proc. of International Conference on Combinatorial Optimization and Applications (pp. 577-591). Springer, Cham.