| 2025 | AIES | Toward AI Matching Policies in Homeless Services: A Qualitative Study with Policymakers. | Caroline M. Johnston, Olga Koumoundouros, Angel Hsing-Chi Hwang, Laura Onasch-Vera, Eric Rice, Phebe Vayanos |
| 2025 | AISTATS | Mixed-Feature Logistic Regression Robust to Distribution Shifts. | Qingshi Sun, Nathan Justin, Andrs Gmez, Phebe Vayanos |
| 2024 | AAAI | Learning Fair Policies for Multi-Stage Selection Problems from Observational Data. | Zhuangzhuang Jia, Grani A. Hanasusanto, Phebe Vayanos, Weijun Xie |
| 2023 | AAAI | Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results. | Nathanael Jo, Bill Tang, Kathryn Dullerud, Sina Aghaei, Eric Rice, Phebe Vayanos |
| 2023 | AIES | Learning Optimal Fair Decision Trees: Trade-offs Between Interpretability, Fairness, and Accuracy. | Nathanael Jo, Sina Aghaei, Jack Benson, Andrs Gmez, Phebe Vayanos |
| 2021 | AAAI | Fair Influence Maximization: a Welfare Optimization Approach. | Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Max Izenberg, Ryan Brown, Eric Rice, Milind Tambe |
| 2019 | AAAI | Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making. | Sina Aghaei, Mohammad Javad Azizi, Phebe Vayanos |
| 2018 | AAAI | Influence Maximization for Social Network Based Substance Abuse Prevention. | Aida Rahmattalabi, Anamika Barman-Adhikari, Phebe Vayanos, Milind Tambe, Eric Rice, Robin Baker |
| 2018 | AAAI | Strategic Coordination of Human Patrollers and Mobile Sensors With Signaling for Security Games. | Haifeng Xu, Kai Wang, Phebe Vayanos, Milind Tambe |
| 2018 | AIES | Utilizing Housing Resources for Homeless Youth Through the Lens of Multiple Multi-Dimensional Knapsacks. | Hau Chan, Long Tran-Thanh, Bryan Wilder, Eric Rice, Phebe Vayanos, Milind Tambe |
| 2018 | AIES | Partially Generative Neural Networks for Gang Crime Classification with Partial Information. | Sungyong Seo, Hau Chan, P. Jeffrey Brantingham, Jorja Leap, Phebe Vayanos, Milind Tambe, Yan Liu |
| 2018 | CogSci | Learning about Cyber Deception through Simulations: Predictions of Human Decision Making with Deceptive Signals in Stackelberg Security Games. | Edward A. Cranford, Christian Lebiere, Cleotilde Gonzalez, Sarah Cooney, Phebe Vayanos, Milind Tambe |
| 2018 | CPAIOR | Designing Fair, Efficient, and Interpretable Policies for Prioritizing Homeless Youth for Housing Resources. | Mohammad Javad Azizi, Phebe Vayanos, Bryan Wilder, Eric Rice, Milind Tambe |
| 2018 | IJCAI | The Price of Usability: Designing Operationalizable Strategies for Security Games. | Sara Marie McCarthy, Corine M. Laan, Kai Wang, Phebe Vayanos, Arunesh Sinha, Milind Tambe |
| 2017 | IJCAI | Staying Ahead of the Game: Adaptive Robust Optimization for Dynamic Allocation of Threat Screening Resources. | Sara Marie McCarthy, Phebe Vayanos, Milind Tambe |
| 2017 | IJCAI | Explanation Systems for Influence Maximization Algorithms. | Amulya Yadav, Aida Rahmattalabi, Ece Kamar, Phebe Vayanos, Milind Tambe, Venil Loyd Noronha |
| 2008 | ICASSP | Online tracking of the degree of nonlinearity within complex signals. | Danilo P. Mandic, Phebe Vayanos, Soroush Javidi, Beth Jelfs, Kazuyuki Aihara |
| 2007 | ICASSP | Collaborative Adaptive Learning using Hybrid Filters. | Danilo P. Mandic, Phebe Vayanos, Christos Boukis, Beth Jelfs, Su Lee Goh, Temujin Gautama, Tomasz M. Rutkowski |
| 2006 | KES | An Online Method for Detecting Nonlinearity Within a Signal. | Beth Jelfs, Phebe Vayanos, Mo Chen, Su Lee Goh, Christos Boukis, Temujin Gautama, Tomasz M. Rutkowski, Tony Kuh, Danilo P. Mandic |