Evi Micha
WiSE Gabilan Assistant Professor of Computer Science
Studies AI and computational social choice, including fairness and aggregation of preferences.
Evi Micha's lab at USC works on trustworthy & safe ML, language & society and computational social science. 19 papers since 2023. Applications close .
At a glance
- papers, 2023–2026
- 5/ year
- at T1 venues
- 0%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 3 papers2026 · T1 0 · collecting
- 6 papers2025 · T1 0
- 5 papers2024 · T1 0
- 5 papers2023 · T1 0
T1 venuesOther
Research focuspaper titles that use each topic's words
- Trustworthy & safe ML3 papers
- Language & society0 papers
- Computational social science0 papers
- social choice0 papers
- choice0 papers
Paper list
From the lab homepage.
20263 papers
- EC-26: Proc. of ACM Conference on Economics and ComputationDynamic Consistent Proportionally Fair Clustering
- EC-26: Proc. of ACM Conference on Economics and ComputationLearning Fair Allocation of Indivisible Items from Limited Feedback
- AAMAS-26: Proc. of International Conference on Autonomous Agents and Multiagent SystemsTemporal Panel Selection in Ongoing Citizens’ Assembliest (opens in a new tab)
20256 papers
- AAMAS-25: Proc. of International Conference on Autonomous Agents and Multiagent SystemsBoosting Sortition via Proportional Representation
- ICML-25: Proc. of International Conference on Machine LearningComputing Voting Rules with Improvement Feedback
- AI Magazine, InvitedHow Proportional Representation Can Shape Artificial Intelligence
- Social Choice and WelfareIndividual Representation in Approval-Based Committee Voting
- NeurIPS-25: Proc. of Annual Conference on Neural Information Processing SystemsPairwise Calibrated Rewards for Pluralistic Alignment (opens in a new tab)
- ICLR-25: Proc. of the International Conference on Learning RepresentationsStrategic Classification with Externalities
20245 papers
- NeurIPS-24: Proc. of Annual Conference on Neural Information Processing Systems Spotlight PresentationAxioms for AI Alignment from Human Feedback (opens in a new tab)
- ICML-24: Proc. of International Conference on Machine LearningCan a Few Decide for Many? The Metric Distortion of Sortition
- IJCAI-24: Proc. of International Joint Conference on Artificial IntelligenceMetric Distortion with Elicited Pairwise Comparisons (opens in a new tab)
- NeurIPS-24: Proc. of Annual Conference on Neural Information Processing SystemsProportional Fairness in Non-Centroid Clustering (opens in a new tab)
- IJCAI-24: Proc. of International Joint Conference on Artificial IntelligenceWhat is Best for Students, Numerical Scores or Letter Grades? (opens in a new tab)
20235 papers
- AAMAS-23Best of Both Worlds Fairness under Entitlements (opens in a new tab)
- NeurIPS-23: Proc. of Annual Conference on Neural Information Processing Systems Spotlight PresentationGroup Fairness in Peer Review (opens in a new tab)
- AAAI-23: Proc. of AAAI Conference on Artificial IntelligencePartitioning Friends Fairly (opens in a new tab)
- IJCAI-23: Proc. of International Joint Conference on Artificial IntelligenceProportionally Fair Online Allocation of Public Goods with Predictions (opens in a new tab)
- EC-23: Proc. of ACM Conference on Economics and Computation Exemplary Paper in the Applied Modeling TrackWelfare-Maximizing Pooled Testing (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to USCFall 2027
Computer Science PhD (Viterbi)
- Round
- Single round (Dec 15)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Confirmed on the program page.
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Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
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- Members
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- Alumni
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