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Career

· PhD Student, EconCS Group, Harvard University2024–
· Ph.D. Research Fellow, Harvard University
· LinkedIn
· Ph.D. Candidate / Researcher, University of Southern California

Publications (16)

Fair Influence Maximization: A Welfare Optimization Approach
AAAI Conference on Artificial Intelligence · 2020
66
cited
Exploring Algorithmic Fairness in Robust Graph Covering Problems
Neural Information Processing Systems · 2020
59
cited
D++: Structural credit assignment in tightly coupled multiagent domains
IEEE/RJS International Conference on Intelligent RObots and Systems · 2016
49
cited
Learning Resource Allocation Policies from Observational Data with an Application to Homeless Services Delivery
Conference on Fairness, Accountability and Transparency · 2022
23
cited
Promises and Challenges of Causality for Ethical Machine Learning
arXiv.org · 2022
11
cited
A Robust Optimization Approach to Designing Near-Optimal Strategies for Constant-Sum Monitoring Games
Decision and Game Theory for Security · 2018
8
cited
A Community-partnered Approach to Social Network Data Collection for a Large and Partial Network
Field Methods · 2022
5
cited
Influence Maximization for Social Network Based Substance Abuse Prevention
AAAI Conference on Artificial Intelligence · 2018
5
cited
Explanation Systems for Influence Maximization Algorithms
SocInf@IJCAI · 2017
4
cited
Robust Peer-Monitoring on Graphs with an Application to Suicide Prevention in Social Networks
Adaptive Agents and Multi-Agent Systems · 2019
4
cited
Social Network Based Substance Abuse Prevention via Network Modification (A Preliminary Study)
arXiv.org · 2019
4
cited
Explanations Systems for Influential Maximizations Algorithms
2017
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Aida Rahmattalabi | Researcher Profile | Sotabase | Sotabase