An Online Method for Detecting Nonlinearity Within a Signal. - Beth Jelfs; Phebe Vayanos; Mo Chen 006; Su Lee Goh; Christos Boukis; Temujin Gautama; Tomasz M. Rutkowski; Tony Kuh; Danilo P. Mandic (KES (3), 2006)

Collaborative Adaptive Learning using Hybrid Filters. - Danilo P. Mandic; Phebe Vayanos; Christos Boukis; Beth Jelfs; Su Lee Goh; Temujin Gautama; Tomasz M. Rutkowski (ICASSP (3), 2007)

Exploiting Nonlinearity in Adaptive Signal Processing. - Phebe Vayanos; Mo Chen 006; Beth Jelfs; Danilo P. Mandic (NOLISP, 2007)

Online tracking of the degree of nonlinearity within complex signals. - Danilo P. Mandic; Phebe Vayanos; Soroush Javidi; Beth Jelfs; Kazuyuki Aihara (ICASSP, 2008)

Online Detection of the Modality of Complex-Valued Real World Signals. - Danilo P. Mandic; Phebe Vayanos; Mo Chen 006; Su Lee Goh (Int. J. Neural Syst., 2008)

Characterisation of Signal Modality: Exploiting Signal Nonlinearity in Machine Learning and Signal Processing. - Beth Jelfs; Soroush Javidi; Phebe Vayanos; Danilo P. Mandic (J. Signal Process. Syst., 2010)

Decision rules for information discovery in multi-stage stochastic programming. - Phebe Vayanos; Daniel Kuhn 001; Berç Rustem (CDC/ECC, 2011)

A constraint sampling approach for multi-stage robust optimization. - Phebe Vayanos; Daniel Kuhn 001; Berç Rustem (Autom., 2012)

Decision rule approximations for dynamic optimization under uncertainty. - Phebe Vayanos (2013)

Evidence From the Past: AI Decision Aids to Improve Housing Systems for Homeless Youth. - Hau Chan; Eric Rice; Phebe Vayanos; Milind Tambe; Matthew Morton (AAAI Fall Symposia, 2017)

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

Explanation Systems for Influence Maximization Algorithms. - Amulya Yadav; Aida Rahmattalabi; Ece Kamar; Phebe Vayanos; Milind Tambe; Venil Loyd Noronha (SocInf@IJCAI, 2017)

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 040; Phebe Vayanos; Milind Tambe (AAAI, 2018)

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 (AIES, 2018)

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 002 (AIES, 2018)

Deceiving Cyber Adversaries: A Game Theoretic Approach. - Aaron Schlenker; Omkar Thakoor; Haifeng Xu; Fei Fang 001; Milind Tambe; Long Tran-Thanh; Phebe Vayanos; Yevgeniy Vorobeychik (AAMAS, 2018)

Equilibrium Refinement in Security Games with Arbitrary Scheduling Constraints. - Kai Wang 040; Qingyu Guo; Phebe Vayanos; Milind Tambe; Bo An 001 (AAMAS, 2018)

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 (CogSci, 2018)

Designing Fair, Efficient, and Interpretable Policies for Prioritizing Homeless Youth for Housing Resources. - Mohammad Javad Azizi; Phebe Vayanos; Bryan Wilder; Eric Rice; Milind Tambe (CPAIOR, 2018)

Imbalanced Collusive Security Games. - Han-Ching Ou; Milind Tambe; Bistra Dilkina; Phebe Vayanos (GameSec, 2018)

A Robust Optimization Approach to Designing Near-Optimal Strategies for Constant-Sum Monitoring Games. - Aida Rahmattalabi; Phebe Vayanos; Milind Tambe (GameSec, 2018)

The Price of Usability: Designing Operationalizable Strategies for Security Games. - Sara Marie McCarthy; Corine M. Laan; Kai Wang 040; Phebe Vayanos; Arunesh Sinha; Milind Tambe (IJCAI, 2018)

From Empirical Analysis to Public Policy: Evaluating Housing Systems for Homeless Youth. - Hau Chan; Eric Rice; Phebe Vayanos; Milind Tambe; Matthew Morton (ECML/PKDD (3), 2018)

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

Warning Time: Optimizing Strategic Signaling for Security Against Boundedly Rational Adversaries. - Sarah Cooney; Phebe Vayanos; Thanh Hong Nguyen; Cleotilde Gonzalez; Christian Lebiere; Edward A. Cranford; Milind Tambe (AAMAS, 2019)

Robust Peer-Monitoring on Graphs with an Application to Suicide Prevention in Social Networks. - Aida Rahmattalabi; Phebe Vayanos; Anthony Fulginiti; Milind Tambe (AAMAS, 2019)

General-Sum Cyber Deception Games under Partial Attacker Valuation Information. - Omkar Thakoor; Milind Tambe; Phebe Vayanos; Haifeng Xu; Christopher Kiekintveld (AAMAS, 2019)

Cyber Camouflage Games for Strategic Deception. - Omkar Thakoor; Milind Tambe; Phebe Vayanos; Haifeng Xu; Christopher Kiekintveld; Fei Fang 001 (GameSec, 2019)

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

Learning to Signal in the Goldilocks Zone: Improving Adversary Compliance in Security Games. - Sarah Cooney; Kai Wang 040; Elizabeth Bondi; Thanh Hong Nguyen; Phebe Vayanos; Hailey Winetrobe; Edward A. Cranford; Cleotilde Gonzalez; Christian Lebiere; Milind Tambe (ECML/PKDD (1), 2019)

Social Network Based Substance Abuse Prevention via Network Modification (A Preliminary Study). - Aida Rahmattalabi; Anamika Barman-Adhikari; Phebe Vayanos; Milind Tambe; Eric Rice; Robin Baker (CoRR, 2019)

Robust Multiclass Queuing Theory for Wait Time Estimation in Resource Allocation Systems. - Chaithanya Bandi; Nikolaos Trichakis; Phebe Vayanos (Manag. Sci., 2019)

Street-Level Realities of Data Practices in Homeless Services Provision. - Naveena Karusala; Jennifer Wilson; Phebe Vayanos; Eric Rice (Proc. ACM Hum. Comput. Interact., 2019)

Game Theoretic Cyber Deception to Foil Adversarial Network Reconnaissance. - Aaron Schlenker; Omkar Thakoor; Haifeng Xu; Fei Fang 001; Milind Tambe; Phebe Vayanos (Adaptive Autonomous Secure Cyber Systems, 2020)

Exploiting Bounded Rationality in Risk-Based Cyber Camouflage Games. - Omkar Thakoor; Shahin Jabbari; Palvi Aggarwal; Cleotilde Gonzalez; Milind Tambe; Phebe Vayanos (GameSec, 2020)

Learning Optimal Classification Trees: Strong Max-Flow Formulations. - Sina Aghaei; Andrés Gómez 001; Phebe Vayanos (CoRR, 2020)

Active Preference Elicitation via Adjustable Robust Optimization. - Phebe Vayanos; Duncan C. McElfresh; Yingxiao Ye; John Paul Dickerson; Eric Rice (CoRR, 2020)

Fair Influence Maximization: A Welfare Optimization Approach. - Aida Rahmattalabi; Shahin Jabbari; Himabindu Lakkaraju; Phebe Vayanos; Eric Rice; Milind Tambe (CoRR, 2020)

Fair Influence Maximization: a Welfare Optimization Approach. - Aida Rahmattalabi; Shahin Jabbari; Himabindu Lakkaraju; Phebe Vayanos; Max Izenberg; Ryan Brown; Eric Rice; Milind Tambe (AAAI, 2021)

Learning Optimal Prescriptive Trees from Observational Data. - Nathanael Jo; Sina Aghaei; Andrés Gómez 001; Phebe Vayanos (CoRR, 2021)

Learning Resource Allocation Policies from Observational Data with an Application to Homeless Services Delivery. - Aida Rahmattalabi; Phebe Vayanos; Kathryn Dullerud; Eric Rice (FAccT, 2022)

Learning Optimal Fair Classification Trees. - Nathanael Jo; Sina Aghaei; Jack Benson; Andrés Gómez 001; Phebe Vayanos (CoRR, 2022)

ROC++: Robust Optimization in C++. - Phebe Vayanos; Qing Jin; George Elissaios (INFORMS J. Comput., 2022)

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

Learning Optimal Fair Decision Trees: Trade-offs Between Interpretability, Fairness, and Accuracy. - Nathanael Jo; Sina Aghaei; Jack Benson; Andrés Gómez 001; Phebe Vayanos (AIES, 2023)

Deploying a Robust Active Preference Elicitation Algorithm on MTurk: Experiment Design, Interface, and Evaluation for COVID-19 Patient Prioritization. - Caroline M. Johnston; Patrick Vossler; Simon Blessenohl; Phebe Vayanos (EAAMO, 2023)

Deploying a Robust Active Preference Elicitation Algorithm: Experiment Design, Interface, and Evaluation for COVID-19 Patient Prioritization. - Caroline M. Johnston; Patrick Vossler; Simon Blessenohl; Phebe Vayanos (CoRR, 2023)

ODTlearn: A Package for Learning Optimal Decision Trees for Prediction and Prescription. - Patrick Vossler; Sina Aghaei; Nathan Justin; Nathanael Jo; Andrés Gómez 001; Phebe Vayanos (CoRR, 2023)

Learning Optimal Classification Trees Robust to Distribution Shifts. - Nathan Justin; Sina Aghaei; Andrés Gómez 001; Phebe Vayanos (CoRR, 2023)

Learning Optimal and Fair Policies for Online Allocation of Scarce Societal Resources from Data Collected in Deployment. - Bill Tang; Çagil Koçyigit; Eric Rice; Phebe Vayanos (CoRR, 2023)

Learning Fair Policies for Multi-Stage Selection Problems from Observational Data. - Zhuangzhuang Jia; Grani A. Hanasusanto; Phebe Vayanos; Weijun Xie 001 (AAAI, 2024)

Mixed-Feature Logistic Regression Robust to Distribution Shifts. - Qingshi Sun; Nathan Justin; Andrés Gómez 001; Phebe Vayanos (AISTATS, 2025)

Strong Optimal Classification Trees. - Sina Aghaei; Andrés Gómez 001; Phebe Vayanos (Oper. Res., 2025)

Mixed-feature Logistic Regression Robust to Distribution Shifts. - Qingshi Sun; Nathan Justin; Andres Gomez; Phebe Vayanos (CoRR, 2025)

Mixed-Integer Optimization for Responsible Machine Learning. - Nathan Justin; Qingshi Sun; Andrés Gómez; Phebe Vayanos (CoRR, 2025)

Making a Case for Research Collaboration Between Artificial Intelligence and Operations Research Experts. - Radhika Kulkarni; Gianluca Brero; Yu Ding; Swati Gupta; Sven Koenig; Ramayya Krishnan; Thiago Serra; Phebe Vayanos; Segev Wasserkrug; Holly Wiberg (CoRR, 2025)