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Aida Rahmattalabi
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2020 – today
- 2022
- [c8]Aida Rahmattalabi, Phebe Vayanos, Kathryn Dullerud, Eric Rice:
Learning Resource Allocation Policies from Observational Data with an Application to Homeless Services Delivery. FAccT 2022: 1240-1256 - [i5]Aida Rahmattalabi, Phebe Vayanos, Kathryn Dullerud, Eric Rice:
Learning Resource Allocation Policies from Observational Data with an Application to Homeless Services Delivery. CoRR abs/2201.10053 (2022) - [i4]Aida Rahmattalabi, Alice Xiang:
Promises and Challenges of Causality for Ethical Machine Learning. CoRR abs/2201.10683 (2022) - 2021
- [c7]Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Max Izenberg, Ryan Brown, Eric Rice, Milind Tambe:
Fair Influence Maximization: a Welfare Optimization Approach. AAAI 2021: 11630-11638 - 2020
- [i3]Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti, Eric Rice, Bryan Wilder, Amulya Yadav, Milind Tambe:
Exploring Algorithmic Fairness in Robust Graph Covering Problems. CoRR abs/2006.06865 (2020) - [i2]Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Eric Rice, Milind Tambe:
Fair Influence Maximization: A Welfare Optimization Approach. CoRR abs/2006.07906 (2020)
2010 – 2019
- 2019
- [c6]Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti, Milind Tambe:
Robust Peer-Monitoring on Graphs with an Application to Suicide Prevention in Social Networks. AAMAS 2019: 2168-2170 - [c5]Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti, Eric Rice, Bryan Wilder, Amulya Yadav, Milind Tambe:
Exploring Algorithmic Fairness in Robust Graph Covering Problems. NeurIPS 2019: 15750-15761 - [i1]Aida Rahmattalabi, Anamika Barman-Adhikari, Phebe Vayanos, Milind Tambe, Eric Rice, Robin Baker:
Social Network Based Substance Abuse Prevention via Network Modification (A Preliminary Study). CoRR abs/1902.00171 (2019) - 2018
- [c4]Aida Rahmattalabi, Anamika Barman-Adhikari, Phebe Vayanos, Milind Tambe, Eric Rice, Robin Baker:
Influence Maximization for Social Network Based Substance Abuse Prevention. AAAI 2018: 8139-8140 - [c3]Aida Rahmattalabi, Phebe Vayanos, Milind Tambe:
A Robust Optimization Approach to Designing Near-Optimal Strategies for Constant-Sum Monitoring Games. GameSec 2018: 603-622 - 2017
- [c2]Amulya Yadav, Aida Rahmattalabi, Ece Kamar, Phebe Vayanos, Milind Tambe, Venil Loyd Noronha:
Explanation Systems for Influence Maximization Algorithms. SocInf@IJCAI 2017: 8-19 - 2016
- [c1]Aida Rahmattalabi, Jen Jen Chung, Mitchell K. Colby, Kagan Tumer:
D++: Structural credit assignment in tightly coupled multiagent domains. IROS 2016: 4424-4429
Coauthor Index
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