Publications

Learning Fair Allocation of Indivisible Items from Limited Feedback [coming soon]
Xinyu Liu, David Kempe, and Evi Micha

Understanding Human Perception of Representation in Citizens' Assemblies: An Empirical Study [coming soon]
Nick Gill, Yusuf Hakan Kalaycın, Evi Micha and Vasilis Varsamis

Dynamic Consistent Proportionally Fair Clustering [coming soon]
Evi Micha, Satish Panda and Vasilis Varsamis

Ethical AI on the Waitlist: Group Fairness Evaluation of LLM-Aided Organ Allocation
Hannah Murray, Brian Hyeongseok Kim, Isabelle Lee, Jason Byun, Dani Yogatama and Evi Micha

C26

Temporal Panel Selection in Ongoing Citizens’ Assembliest
Yusuf Hakan Kalaycın and Evi Micha
In AAMAS-26: Proc. of 25th International Conference on Autonomous Agents and Multiagent Systems

How Proportional Representation Can Shape Artificial Intelligence
Evi Micha
In AI Magazine, 2025
Invited

Individual Representation in Approval-Based Committee Voting
Markus Brill, Jonas Israel, Evi Micha and Jannik Peters
In Social Choice and Welfare, 2025

C25

Pairwise Calibrated Rewards for Pluralistic Alignment
Daniel Halpern, Evi Micha, Ariel D. Procaccia and Itai Shapira
In NeurIPS-25: Proc. of 39th Annual Conference on Neural Information Processing Systems

C24

Computing Voting Rules with Improvement Feedback
Vasilis Varsamis and Evi Micha
In ICML-25: Proc. of 42nd International Conference on Machine Learning

C23

Strategic Classification with Externalities
Yiling Chen, Safwan Hossain, Evi Micha and Ariel D. Procaccia
In ICLR-25: Proc. of the 30th International Conference on Learning Representations

C22

Boosting Sortition via Proportional Representation
Soroush Ebadian and Evi Micha
In AAMAS-25: Proc. of 24th International Conference on Autonomous Agents and Multiagent Systems

C21

Axioms for AI Alignment from Human Feedback
Luise Ge, Daniel Halpern, Evi Micha, Ariel D. Procaccia, Itai Shapira, Yevgeniy Vorobeychik and Junlin Wu
In NeurIPS-24: Proc. of 38th Annual Conference on Neural Information Processing Systems
Spotlight Presentation

C20

Proportional Fairness in Non-Centroid Clustering
Ioannis Caragiannis, Evi Micha and Nisarg Shah
In NeurIPS-24: Proc. of 38th Annual Conference on Neural Information Processing Systems

C19

Can a Few Decide for Many? The Metric Distortion of Sortition
Ioannis Caragiannis, Evi Micha and Jannik Peters
In ICML-24: Proc. of 41st International Conference on Machine Learning

C18

Metric Distortion with Elicited Pairwise Comparisons
Soroush Ebadian, Daniel Halpern and Evi Micha
In IJCAI-24: Proc. of 33rd International Joint Conference on Artificial Intelligence

C17

What is Best for Students, Numerical Scores or Letter Grades?
Evi Micha, Shreyas Sekar and Nisarg Shah
In IJCAI-24: Proc. of 33rd International Joint Conference on Artificial Intelligence

C16

Group Fairness in Peer Review
Haris Aziz, Evi Micha and Nisarg Shah
In NeurIPS-23: Proc. of 36th Annual Conference on Neural Information Processing Systems
Spotlight Presentation

C15

Welfare-Maximizing Pooled Testing
By Simon Finster, Michelle González Amador, Edwin Lock, Francisco Marmolejo-Cossío, Evi Micha and Ariel D. Procaccia
In EC-23: Proc. of 24th ACM Conference on Economics and Computation
Exemplary Paper in the Applied Modeling Track

C14

Proportionally Fair Online Allocation of Public Goods with Predictions
By Siddhartha Banerjee, Vasilis Gkatzelis, Safwan Hossain, Billy Jin, Evi Micha and Nisarg Shah
In IJCAI-23: Proc. of 32nd International Joint Conference on Artificial Intelligence

C13

Best of Both Worlds Fairness under Entitlements
Haris Aziz, Aditya Ganguly and Evi Micha
In AAMAS-23: Proc. of 22nd International Conference on Autonomous Agents and Multiagent Systems
Best Student Paper Award Nominee (AAMAS-23)

C12

Partitioning Friends Fairly
Lily Li, Evi Micha, Aleksandar Nikolov and Nisarg Shah
In AAAI-23: Proc. of 37th AAAI Conference on Artificial Intelligence

C11

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

C10

A Little Charity Guarantees Fair Connected Graph Partitioning
Ioannis Caragiannis, Evi Micha and Nisarg Shah
In AAAI-22: Proc. of 36th AAAI Conference on Artificial Intelligence

Individual Representation in Approval-Based Committee Voting
Markus Brill, Jonas Israel, Evi Micha and Jannik Peters
In AAAI-22: Proc. of 36th AAAI Conference on Artificial Intelligence

Fair Algorithms for Multi-Agent Multi-Armed Bandits
By Safwan Hossain, Evi Micha and Nisarg Shah
In NeurIPS-21: Proc. of 35th Annual Conference on Neural Information Processing Systems

Two-Sided Matching Meets Fair Division
Rupert Freeman, Evi Micha and Nisarg Shah
In IJCAI-21: Proc. of 30th International Joint Conference on Artificial Intelligence

The Distortion of Distributed Voting
Aris Filos-Ratsikas, Evi Micha and Alexandros Voudouris
In Artificial Intelligence, Volume 286, 103343, 2020.

Proportionally Fair Clustering Revisited
Evi Micha and Nisarg Shah
In ICALP-20: Proc. 47th International Colloquium on Automata, Languages and Programming

Can We Predict the Election Outcome from Sampled Votes?
Evi Micha and Nisarg Shah
In AAAI-20: Proc. 34th AAAI Conference on Artificial Intelligence

The Surprising Power of Hiding Information in Facility Location
Safwan Hossain, Evi Micha and Nisarg Shah
In AAAI-20: Proc. 34th AAAI Conference on Artificial Intelligence

The Distortion of Distributed Voting
Aris Filos-Ratsikas, Evi Micha and Alexandros Voudouris
In SAGT-19: Proc. 12th International Symposium on Algorithmic Game Theory

A Contribution to the Critique of Liquid Democracy
Ioannis Caragiannis and Evi Micha
In IJCAI-19: Proc. 28th Intl. Joint Conference on Artificial Intelligence

Learning a Ground Truth Ranking using Noisy Approval Votes
Ioannis Caragiannis and Evi Micha
In IJCAI-17: Proc. 26th Intl. Joint Conference on Artificial Intelligence