Phebe Vayanos

According to our database1, Phebe Vayanos authored at least 41 papers between 2006 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2021
Strong Optimal Classification Trees.
CoRR, 2021

Fair Influence Maximization: a Welfare Optimization Approach.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Fair Influence Maximization: A Welfare Optimization Approach.
CoRR, 2020

Active Preference Elicitation via Adjustable Robust Optimization.
CoRR, 2020

Learning Optimal Classification Trees: Strong Max-Flow Formulations.
CoRR, 2020

Exploiting Bounded Rationality in Risk-Based Cyber Camouflage Games.
Proceedings of the Decision and Game Theory for Security - 11th International Conference, 2020

Game Theoretic Cyber Deception to Foil Adversarial Network Reconnaissance.
Proceedings of the Adaptive Autonomous Secure Cyber Systems., 2020

2019
Street-Level Realities of Data Practices in Homeless Services Provision.
Proc. ACM Hum. Comput. Interact., 2019

Robust Multiclass Queuing Theory for Wait Time Estimation in Resource Allocation Systems.
Manag. Sci., 2019

Social Network Based Substance Abuse Prevention via Network Modification (A Preliminary Study).
CoRR, 2019

Learning to Signal in the Goldilocks Zone: Improving Adversary Compliance in Security Games.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Exploring Algorithmic Fairness in Robust Graph Covering Problems.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Cyber Camouflage Games for Strategic Deception.
Proceedings of the Decision and Game Theory for Security - 10th International Conference, 2019

General-Sum Cyber Deception Games under Partial Attacker Valuation Information.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Robust Peer-Monitoring on Graphs with an Application to Suicide Prevention in Social Networks.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Warning Time: Optimizing Strategic Signaling for Security Against Boundedly Rational Adversaries.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
From Empirical Analysis to Public Policy: Evaluating Housing Systems for Homeless Youth.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

The Price of Usability: Designing Operationalizable Strategies for Security Games.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

A Robust Optimization Approach to Designing Near-Optimal Strategies for Constant-Sum Monitoring Games.
Proceedings of the Decision and Game Theory for Security - 9th International Conference, 2018

Imbalanced Collusive Security Games.
Proceedings of the Decision and Game Theory for Security - 9th International Conference, 2018

Designing Fair, Efficient, and Interpretable Policies for Prioritizing Homeless Youth for Housing Resources.
Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2018

Learning about Cyber Deception through Simulations: Predictions of Human Decision Making with Deceptive Signals in Stackelberg Security Games.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Equilibrium Refinement in Security Games with Arbitrary Scheduling Constraints.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Deceiving Cyber Adversaries: A Game Theoretic Approach.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Partially Generative Neural Networks for Gang Crime Classification with Partial Information.
Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018

Utilizing Housing Resources for Homeless Youth Through the Lens of Multiple Multi-Dimensional Knapsacks.
Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018

Strategic Coordination of Human Patrollers and Mobile Sensors With Signaling for Security Games.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Influence Maximization for Social Network Based Substance Abuse Prevention.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Explanation Systems for Influence Maximization Algorithms.
Proceedings of the 3rd International Workshop on Social Influence Analysis co-located with 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), 2017

Staying Ahead of the Game: Adaptive Robust Optimization for Dynamic Allocation of Threat Screening Resources.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Evidence From the Past: AI Decision Aids to Improve Housing Systems for Homeless Youth.
Proceedings of the 2017 AAAI Fall Symposia, Arlington, Virginia, USA, November 9-11, 2017, 2017

2013
Decision rule approximations for dynamic optimization under uncertainty.
PhD thesis, 2013

2012
A constraint sampling approach for multi-stage robust optimization.
Autom., 2012

2011
Decision rules for information discovery in multi-stage stochastic programming.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Characterisation of Signal Modality: Exploiting Signal Nonlinearity in Machine Learning and Signal Processing.
J. Signal Process. Syst., 2010

2008
Online Detection of the Modality of Complex-Valued Real World Signals.
Int. J. Neural Syst., 2008

Online tracking of the degree of nonlinearity within complex signals.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Exploiting Nonlinearity in Adaptive Signal Processing.
Proceedings of the Advances in Nonlinear Speech Processing, 2007

Collaborative Adaptive Learning using Hybrid Filters.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
An Online Method for Detecting Nonlinearity Within a Signal.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006


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