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Works (46)

Robust optimization with decision-dependent information discovery

2024 | Other
Source: Self-asserted source
Phebe Vayanos

Learning optimal and fair policies for online allocation of scarce societal resources from data collected in deployment

2024-04 | Other
Contributors: Phebe Vayanos
Source: Self-asserted source
Phebe Vayanos

Learning optimal prescriptive trees from observational data

2024-04 | Other
Source: Self-asserted source
Phebe Vayanos

Learning optimal classification trees robust to distribution shifts

2024-03 | Other
Contributors: Phebe Vayanos
Source: Self-asserted source
Phebe Vayanos

Deploying a robust active preference elicitation algorithm: experiment design, interface, and evaluation for COVID-19 Patient Prioritization

ACM conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO'23)
2023 | Other
Contributors: Phebe Vayanos
Source: Self-asserted source
Phebe Vayanos

Fairness in contextual resource allocation systems: metrics and incompatibility results

Proceedings of the 37th AAAI Conference on Artificial Intelligence
2023 | Other
Contributors: Phebe Vayanos
Source: Self-asserted source
Phebe Vayanos

ODTlearn: a package for learning optimal decision trees for prediction and prescription

2023 | Other
Contributors: Phebe Vayanos
Source: Self-asserted source
Phebe Vayanos

Robust active preference elicitation

2022-07 | Other
Source: Self-asserted source
Phebe Vayanos

ROC++: Robust optimization in C++

INFORMS Journal on Computing
2022-05-13 | Journal article
Contributors: Phebe Vayanos; Qing Jin; Georgios Elissaios
Source: Self-asserted source
Phebe Vayanos

Fair influence maximization: A welfare optimization approach

35th AAAI Conference on Artificial Intelligence
2021 | Conference paper
Source: Self-asserted source
Phebe Vayanos

Optimal robust classification trees

2021 | Conference paper
Source: Self-asserted source
Phebe Vayanos

Adjustable robust optimization with decision-dependent uncertainty sets

2019 | Other
URI:

http://www-bcf.usc.edu/{~}vayanou/papers/2018/DPL{\_}paper.pdf
Source: Self-asserted source
Phebe Vayanos

Cyber camouflage games for strategic deception

Proceedings of the 10th International Conference, GameSec
2019 | Conference paper
Source: Self-asserted source
Phebe Vayanos

Exploring algorithmic fairness in robust graph covering problems

Proceedings of the 33rd Conference on Neural Information Processing Systems (NeurIPS)
2019 | Other
Source: Self-asserted source
Phebe Vayanos

Learning optimal and fair decision trees for non discriminative decision-making

In Proceedings of the 33rd AAAI Conference on Artificial Intelligence
2019 | Other
Source: Self-asserted source
Phebe Vayanos

The street-level realities of data practices in homeless services provision

Proceedings of the 22nd ACM on Human-Computer Interaction 3, (CSCW)
2019 | Conference paper
Source: Self-asserted source
Phebe Vayanos

Understanding wait times in rapid rehousing among homeless youth: a competing risk survival analysis

The Journal of Primary Prevention
2019 | Journal article
Source: Self-asserted source
Phebe Vayanos

Robust multiclass queuing theory for wait time estimation in resource allocation systems

Management Science
2019-01 | Journal article
DOI: 10.1287/mnsc.2017.2948
Part of ISSN: 0025-1909
Part of ISSN: 1526-5501
Source: Self-asserted source
Phebe Vayanos

A robust optimization approach to designing near-optimal strategies for constant-sum monitoring games

Proceedings of the 9th International Conference, GameSec
2018 | Conference paper
Source: Self-asserted source
Phebe Vayanos

Deceiving cyber adversaries : a game theoretic approach

17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS)
2018 | Conference paper
Source: Self-asserted source
Phebe Vayanos

Designing Fair, Efficient, and Interpretable Policies for Prioritizing Homeless Youth for Housing Resources

Proceedings of the 15th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research
2018 | Conference paper
Source: Self-asserted source
Phebe Vayanos

Equilibrium refinement in security games with arbitrary scheduling constraints

Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS)
2018 | Conference paper
Source: Self-asserted source
Phebe Vayanos

From empirical analysis to public policy: evaluating housing systems for homeless youth

In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD)
2018 | Conference paper
Source: Self-asserted source
Phebe Vayanos

Imbalanced collusive security games

Proceedingsof the 9th International Conference, GameSec
2018 | Conference paper
Source: Self-asserted source
Phebe Vayanos

Linking homelessness vulnerability assessments to housing placements and outcomes for youth

Cityscape
2018 | Journal article
Source: Self-asserted source
Phebe Vayanos

Partially Generative Neural Networks for Gang Crime Classification with Partial Information

AAAI ACM Conference on Artificial Intelligence, Ethics and Society
2018 | Conference paper
Source: Self-asserted source
Phebe Vayanos

Robust multiclass queuing theory for wait time estimation in resource allocation systems

Management Science
2018 | Journal article
Source: Self-asserted source
Phebe Vayanos

Strategic coordination of human patrollers and mobile sensors with signaling for security games

Proceedings of the 32nd AAAI Conference on Artificial Intelligence
2018 | Conference paper
Source: Self-asserted source
Phebe Vayanos

The price of usability: designing operationalizable strategies for security games

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI-18
2018 | Conference paper
DOI: 10.24963/ijcai.2018/63
Source: Self-asserted source
Phebe Vayanos

Utilizing housing resources for homeless youth through the lens of multiple multi-dimensional knapsacks

Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society
2018 | Conference paper
Source: Self-asserted source
Phebe Vayanos

Applying Simple Machine Learning Methods to Understand and Analyze Governmental Housing Systems for Homeless Youth

2017 | Other
Source: Self-asserted source
Phebe Vayanos

Chance-Constrained Optimization for Refinery Blend Planning under Uncertainty

Industrial $\backslash$& Engineering Chemistry Research
2017 | Journal article
Source: Self-asserted source
Phebe Vayanos

Data-driven learning in dynamic pricing using adaptive robust optimization

2017 | Other
Source: Self-asserted source
Phebe Vayanos

Evidence From the Past: AI Decision Aids to Improve Housing Systems for Homeless Youth

AAAI 2017 Fall Symposium Series
2017 | Conference paper
Source: Self-asserted source
Phebe Vayanos

Evidence From the Past: New Insights to Improve Housing Systems for Homeless Youth

Proceedings of the Association for the Advancement of Artificial Intelligence (AAAI) 2017 Fall Symposium Series
2017 | Conference paper
Source: Self-asserted source
Phebe Vayanos

NOT-ALONE: Robust Peer Monitor Selection for Suicide Prevention

2017 | Other
Source: Self-asserted source
Phebe Vayanos

Social Network Based Substance Abuse Prevention via Influence Maximization with an Application to Homeless Youth

2017 | Other
Source: Self-asserted source
Phebe Vayanos

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, IJCAI-17
2017 | Conference paper
DOI: 10.24963/ijcai.2017/527
Source: Self-asserted source
Phebe Vayanos

A constraint sampling approach for multi-stage robust optimization

Automatica
2012 | Journal article
Source: Self-asserted source
Phebe Vayanos

Decision rule approximations for dynamic optimization under uncertainty

2012 | Dissertation or Thesis
Source: Self-asserted source
Phebe Vayanos

Valuation of path-dependent electricity derivatives via constraint sampling

2012 | Report
Source: Self-asserted source
Phebe Vayanos

Decision rules for information discovery in multi-stage stochastic programming

Proceedings of the 50th IEEE Conference on Decision and Control
2011 | Other
Source: Self-asserted source
Phebe Vayanos

Hedging electricity swing options in incomplete markets

Proceedings of the 18th IFAC Wold Congress
2011 | Conference paper
Source: Self-asserted source
Phebe Vayanos

Learning optimal fair classification trees: trade-offs between fairness, interpretability, and accuracy

AAAI/ACM Conference on AI, Ethics, and Society (AIES)
Other
Contributors: Phebe Vayanos
Source: Self-asserted source
Phebe Vayanos

OCART: Optimal Classification and Regression Trees

Journal article
Source: Self-asserted source
Phebe Vayanos

Strong Optimal Classification Trees

Other
Contributors: Phebe Vayanos
Source: Self-asserted source
Phebe Vayanos
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