Prof. Michael Kearns — Research Profile
University of Pennsylvania · Computer and Information Science
Graduate application deadlines
Computer and Information Science
Computer and Information Science, Ph.D.
Fall 2027Application deadline
Dec 15, 2026 23:59 EST
Computer & Information Science, MSE
Fall 2027Early Application Deadline
Nov 1, 2026
Closed
Application deadline
Regular Application Deadline
Feb 1, 2027
Source: gradadm.seas.upenn.eduChecked Nov 2, 2026
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Prof. Michael Kearns at University of Pennsylvania Computer and Information Science lists Machine Learning and Artificial Intelligence, Algorithmic Fairness, Data Privacy, AI Incentives, Computational Social Science, Algorithms and Computational Complexity as their registered research area.
Research keywords
Recent papers
- Learning to Strategically Acquire Resources in CompetitionPreprintarXiv (Cornell University) · Jun 5
- Multi-Objective Reinforcement Learning for Large-Scale Tote Allocation in Human-Robot Collaborative Fulfillment CentersPreprintarXiv (Cornell University) · Feb 27
- Model Agreement via AnchoringPreprintarXiv (Cornell University) · Feb 26
From OpenAlex · papers whose author affiliation matches this university
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Shared topic: Reinforcement Learning in Robotics
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AnyGoal: On World Model Generalization Beyond Expert RolloutsPreprintarXiv (Cornell University) · Oct 19
Other labs in this department
- Aaron Roth Lab
Machine Learning and Artificial Intelligence, Algorithmic Fairness, Data Privacy, AI Incentives, Computational Social Science, Algorithms and Computational Complexity
- Andreas Haeberlen Lab
Algorithmic Fairness, Data Privacy, AI Incentives, Distributed Systems, Networks, Operating Systems, Computer Security and Cryptography
- Andrew Head Lab
Human-Computer Interaction
- Anindya De Lab
Algorithms and Computational Complexity
- Benjamin C. Lee Lab
Machine Learning and Artificial Intelligence, Computer Architecture and Quantum Computing Systems
- Benjamin C. Pierce Lab
Data Science and Discovery Platforms, ML and Agentic Systems, Neurosymbolic Systems, Databases, Algorithmic Fairness, Data Privacy, AI Incentives, Compilers and Program Analysis, Computer Security and Cryptography, Formal Methods and Logic, Programming Languages