Learning a Ground Truth Ranking Using Noisy Approval Votes. - Ioannis Caragiannis; Evi Micha (IJCAI, 2017)

A Contribution to the Critique of Liquid Democracy. - Ioannis Caragiannis; Evi Micha (IJCAI, 2019)

The Surprising Power of Hiding Information in Facility Location. - Safwan Hossain; Evi Micha; Nisarg Shah 001 (AAAI, 2020)

Can We Predict the Election Outcome from Sampled Votes? - Evi Micha; Nisarg Shah 001 (AAAI, 2020)

Proportionally Fair Clustering Revisited. - Evi Micha; Nisarg Shah 001 (ICALP, 2020)

The distortion of distributed voting. - Aris Filos-Ratsikas; Evi Micha; Alexandros A. Voudouris (Artif. Intell., 2020)

Two-Sided Matching Meets Fair Division. - Rupert Freeman; Evi Micha; Nisarg Shah 001 (IJCAI, 2021)

Fair Algorithms for Multi-Agent Multi-Armed Bandits. - Safwan Hossain; Evi Micha; Nisarg Shah 001 (NeurIPS, 2021)

A Little Charity Guarantees Fair Connected Graph Partitioning. - Ioannis Caragiannis; Evi Micha; Nisarg Shah 001 (AAAI, 2022)

Is Sortition Both Representative and Fair? - Soroush Ebadian; Gregory Kehne; Evi Micha; Ariel D. Procaccia; Nisarg Shah 001 (NeurIPS, 2022)

Welfare-Maximizing Pooled Testing. - Edwin Lock; Francisco J. Marmolejo Cossío; Evi Micha; Ariel D. Procaccia (CoRR, 2022)

Partitioning Friends Fairly. - Lily Li 004; Evi Micha; Aleksandar Nikolov; Nisarg Shah 001 (AAAI, 2023)

Best of Both Worlds Fairness under Entitlements. - Haris Aziz 001; Aditya Ganguly; Evi Micha (AAMAS, 2023)

Proportionally Fair Online Allocation of Public Goods with Predictions. - Siddhartha Banerjee; Vasilis Gkatzelis; Safwan Hossain; Billy Jin; Evi Micha; Nisarg Shah 001 (IJCAI, 2023)

Group Fairness in Peer Review. - Haris Aziz 001; Evi Micha; Nisarg Shah 001 (NeurIPS, 2023)

Fair and Efficient Social Decision Making - Evi Micha (2023)

Can a Few Decide for Many? The Metric Distortion of Sortition. - Ioannis Caragiannis; Evi Micha; Jannik Peters 001 (ICML, 2024)

Metric Distortion with Elicited Pairwise Comparisons. - Soroush Ebadian; Daniel Halpern 002; Evi Micha (IJCAI, 2024)

What Is Best for Students, Numerical Scores or Letter Grades? - Evi Micha; Shreyas Sekar; Nisarg Shah 001 (IJCAI, 2024)

Proportional Fairness in Non-Centroid Clustering. - Ioannis Caragiannis; Evi Micha; Nisarg Shah 001 (NeurIPS, 2024)

Axioms for AI Alignment from Human Feedback. - Luise Ge; Daniel Halpern 002; Evi Micha; Ariel D. Procaccia; Itai Shapira; Yevgeniy Vorobeychik; Junlin Wu 001 (NeurIPS, 2024)

Welfare-Maximizing Pooled Testing. - Simon Finster; Michelle González Amador; Edwin Lock; Francisco J. Marmolejo Cossío; Evi Micha; Ariel D. Procaccia (SIGecom Exch., 2024)

Axioms for AI Alignment from Human Feedback. - Evi Micha (AAAI, 2025)

Strategic Classification With Externalities. - Safwan Hossain; Evi Micha; Yiling Chen 001; Ariel D. Procaccia (ICLR, 2025)

Boosting Sortition via Proportional Representation. - Soroush Ebadian; Evi Micha (AAMAS, 2025)

Computing Voting Rules with Improvement Feedback. - Evi Micha; Vasilis Varsamis (CoRR, 2025)

Individual representation in approval-based committee voting. - Markus Brill; Jonas Israel; Evi Micha; Jannik Peters 001 (Soc. Choice Welf., 2025)

Ethical AI on the Waitlist: Group Fairness Evaluation of LLM-Aided Organ Allocation. - Hannah Murray; Brian Hyeongseok Kim; Isabelle Lee; Jason Byun; Dani Yogatama; Evi Micha (CoRR, 2025)

Pairwise Calibrated Rewards for Pluralistic Alignment. - Daniel Halpern 002; Evi Micha; Ariel D. Procaccia; Itai Shapira (CoRR, 2025)