Vayanos, Phebe

11 publications

AISTATS 2025 Mixed-Feature Logistic Regression Robust to Distribution Shifts Qingshi Sun, Nathan Justin, Andres Gomez, Phebe Vayanos

AAAI 2024 Learning Fair Policies for Multi-Stage Selection Problems from Observational Data Zhuangzhuang Jia, Grani A. Hanasusanto, Phebe Vayanos, Weijun Xie

AAAI 2023 Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results Nathanael Jo, Bill Tang, Kathryn Dullerud, Sina Aghaei, Eric Rice, Phebe Vayanos

AAAI 2021 Fair Influence Maximization: A Welfare Optimization Approach Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Max Izenberg, Ryan Brown, Eric Rice, Milind Tambe

NeurIPS 2019 Exploring Algorithmic Fairness in Robust Graph Covering Problems Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti, Eric Rice, Bryan Wilder, Amulya Yadav, Milind Tambe

AAAI 2019 Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making Sina Aghaei, Mohammad Javad Azizi, Phebe Vayanos

ECML-PKDD 2019 Learning to Signal in the Goldilocks Zone: Improving Adversary Compliance in Security Games Sarah Cooney, Kai Wang, Elizabeth Bondi, Thanh Hong Nguyen, Phebe Vayanos, Hailey Winetrobe, Edward A. Cranford, Cleotilde Gonzalez, Christian Lebiere, Milind Tambe

AAAI 2018 Influence Maximization for Social Network Based Substance Abuse Prevention Aida Rahmattalabi, Anamika Barman-Adhikari, Phebe Vayanos, Milind Tambe, Eric Rice, Robin Baker

AAAI 2018 Strategic Coordination of Human Patrollers and Mobile Sensors with Signaling for Security Games Haifeng Xu, Kai Wang, Phebe Vayanos, Milind Tambe

IJCAI 2018 The Price of Usability: Designing Operationalizable Strategies for Security Games Sara Marie McCarthy, Corine M. Laan, Kai Wang, Phebe Vayanos, Arunesh Sinha, Milind Tambe

IJCAI 2017 Staying Ahead of the Game: Adaptive Robust Optimization for Dynamic Allocation of Threat Screening Resources Sara Marie McCarthy, Phebe Vayanos, Milind Tambe