Publications

Preprints

• Boosting Sortition via Proportional Representation

  By Soroush Ebadian and Evi Micha

  [Preprint]
• Constrained Fair and Efficient Allocations

  By Benjamin Cookson, Soroush Ebadian, and Nisarg Shah

  [Preprint]
• Temporal Fair Division

  By Benjamin Cookson, Soroush Ebadian, and Nisarg Shah

  [Preprint]
• Fair Division With Market Values

  By Siddharth Barman, Soroush Ebadian, Mohamad Latifian, and Nisarg Shah

  [Preprint]
• Every Bit Helps: Achieving the Optimal Distortion with a Few Queries

  By Soroush Ebadian and Nisarg Shah

Papers

• Policy Aggregation

  By Parand A. Alamdari, Soroush Ebadian, and Ariel D. Procaccia

  In NeurIPS-24: Proc. of 38th Annual Conference on Neural Information Processing Systems, 2024. Forthcoming.

  [Paper]
• Harm Ratio: A Novel and Versatile Fairness Criterion

  By Soroush Ebadian, Nisarg Shah, and Rupert Freeman

  In EAAMO-24: Proc. of 4th ACM Conference Equity and Access in Algorithms, Mechanisms, and Optimization, pp. 1–14, 2024.

  [Paper]
• Metric Distortion with Elicited Pairwise Comparisons

  By Soroush Ebadian, Daniel Halpern, and Evi Micha

  In IJCAI-24: Proc. of 33rd International Joint Conference on Artificial Intelligence, pp. 2791–2798, 2024.

  [Paper]
• Optimized Distortion and Proportional Fairness in Voting

  By Soroush Ebadian, Anson Kahng, Dominik Peters, and Nisarg Shah

  In TEAC: ACM Transactions on Economics and Computation, Volume 12, Issue 1, Article 3, pp. 1–39, 2024.

  [Paper]
• Computational Aspects of Distortion

  By Soroush Ebadian, Aris Filos-Ratsikas, Mohamad Latifian, and Nisarg Shah

  In AAMAS-24: Proc. of 23rd International Conference on Autonomous Agents and Multi-Agent Systems, pp. 499–507, 2024.

  [Paper]
• Explainable and Efficient Randomized Voting Rules

  By Soroush Ebadian, Aris Filos-Ratsikas, Mohamad Latifian, and Nisarg Shah

  In NeurIPS-23: Proc. of 37th Annual Conference on Neural Information Processing Systems, pp. 23034–23046, 2023

  [Paper]
• The Distortion of Approval Voting with Runoff

  By Soroush Ebadian, Mohamad Latifian, and Nisarg Shah

  In AAMAS-23: Proc. of 22nd International Conference on Autonomous Agents and Multi-Agent Systems, pp. 1752–1760, 2023.

  [Paper]
• Is Sortition Both Representative and Fair?

  By Soroush Ebadian, Gregory Kehne, Evi Micha, Ariel D. Procaccia, and Nisarg Shah

  In NeurIPS-22: Proc. of 36th Annual Conference on Neural Information Processing Systems, pp. 3431–3443, 2022.

  [Paper]
• Optimized Distortion and Proportional Fairness in Voting

  By Soroush Ebadian, Anson Kahng, Dominik Peters, and Nisarg Shah

  In EC-22: Proc. of 23rd ACM Conference on Economics and Computation, pp. 563–600, 2022.

  [Paper]
• Efficient Resource Allocation with Secretive Agents

  By Soroush Ebadian, Rupert Freeman, and Nisarg Shah

  In IJCAI-22: Proc. of 31st International Joint Conference on Artificial Intelligence, pp. 272–278, 2022.

  [Paper]
• How to Fairly Allocate Easy and Difficult Chores

  By Soroush Ebadian, Dominik Peters, and Nisarg Shah

  In AAMAS-22: Proc. of 21st International Conference on Autonomous Agents and Multi-Agent Systems, pp. 372–380, 2022.

  [Paper]
• Fast Algorithm for K-Truss Discovery on Public-Private Graphs

  By Soroush Ebadian and Xin Huang

  In IJCAI-19: Proc. of 28st International Joint Conference on Artificial Intelligence, pp. 2258–2264, 2019.

  [Paper]
• A Simple Randomized Algorithm for All Nearest Neighbors

  By Soroush Ebadian and Hamid Zarrabi-Zadeh

  In CCCG-19: Proc. of 31st Canadian Conference on Computational Geometry, pp. 94–98, 2019.

  [Paper]