Phebe Vayanos

Phebe Vayanos

University of Southern California

H-index: 21

North America-United States

About Phebe Vayanos

Phebe Vayanos, With an exceptional h-index of 21 and a recent h-index of 20 (since 2020), a distinguished researcher at University of Southern California, specializes in the field of Optimization, Operations Research, Artificial Intelligence, Analytics, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Distributionally Robust Optimization with Decision-Dependent Information Discovery

Learning Fair Policies for Multi-Stage Selection Problems from Observational Data

Learning Optimal and Fair Policies for Online Allocation of Scarce Societal Resources from Data Collected in Deployment

Deploying a Robust Active Preference Elicitation Algorithm on MTurk: Experiment Design, Interface, and Evaluation for COVID-19 Patient Prioritization

Learning Optimal Classification Trees Robust to Distribution Shifts

Learning optimal fair decision trees: Trade-offs between interpretability, fairness, and accuracy

ODTlearn: A Package for Learning Optimal Decision Trees for Prediction and Prescription

Fairness in contextual resource allocation systems: Metrics and incompatibility results

Phebe Vayanos Information

University

Position

Associate Director at USC CAIS Assistant Professor at

Citations(all)

1394

Citations(since 2020)

1160

Cited By

597

hIndex(all)

21

hIndex(since 2020)

20

i10Index(all)

36

i10Index(since 2020)

29

Email

University Profile Page

Google Scholar

Phebe Vayanos Skills & Research Interests

Optimization

Operations Research

Artificial Intelligence

Analytics

Machine Learning

Top articles of Phebe Vayanos

Distributionally Robust Optimization with Decision-Dependent Information Discovery

Optimization Letters

2020/11

Learning Fair Policies for Multi-Stage Selection Problems from Observational Data

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

Phebe Vayanos
Phebe Vayanos

H-Index: 11

Weijun Xie
Weijun Xie

H-Index: 14

Learning Optimal and Fair Policies for Online Allocation of Scarce Societal Resources from Data Collected in Deployment

arXiv preprint arXiv:2311.13765

2023/11/23

Eric Rice
Eric Rice

H-Index: 39

Phebe Vayanos
Phebe Vayanos

H-Index: 11

Deploying a Robust Active Preference Elicitation Algorithm on MTurk: Experiment Design, Interface, and Evaluation for COVID-19 Patient Prioritization

2023/10/30

Patrick Vossler
Patrick Vossler

H-Index: 1

Phebe Vayanos
Phebe Vayanos

H-Index: 11

Learning Optimal Classification Trees Robust to Distribution Shifts

arXiv preprint arXiv:2310.17772

2023/10/26

Sina Aghaei
Sina Aghaei

H-Index: 2

Phebe Vayanos
Phebe Vayanos

H-Index: 11

Learning optimal fair decision trees: Trade-offs between interpretability, fairness, and accuracy

2023/8/8

ODTlearn: A Package for Learning Optimal Decision Trees for Prediction and Prescription

arXiv preprint arXiv:2307.15691

2023/7/28

Fairness in contextual resource allocation systems: Metrics and incompatibility results

Proceedings of the AAAI Conference on Artificial Intelligence

2023/6/26

A community-partnered approach to social network data collection for a large and partial network

Field Methods

2023/5

Human-Subject Experiments on Risk-Based Cyber Camouflage Games

2022/10/7

Learning resource allocation policies from observational data with an application to homeless services delivery

2022/6/21

Using algorithmic solutions to address gatekeeper training issues for suicide prevention on college campuses

Artificial Intelligence for Healthcare: Interdisciplinary Partnerships for Analytics-driven Improvements in a Post-COVID World

2022/5/5

Learning Optimal Fair Classification Trees: Trade-offs Between Interpretability, Fairness, and Accuracy

arXiv preprint arXiv:2201.09932

2022/1/24

Sina Aghaei
Sina Aghaei

H-Index: 2

Phebe Vayanos
Phebe Vayanos

H-Index: 11

Conserving Biodiversity via Adjustable Robust Optimization

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022), Workshop on Autonomous Agents for Social Good

2022/1

Hugh Robinson
Hugh Robinson

H-Index: 20

Phebe Vayanos
Phebe Vayanos

H-Index: 11

Learning optimal fair classification trees

arXiv preprint arXiv:2201.09932

2022

Sina Aghaei
Sina Aghaei

H-Index: 2

Phebe Vayanos
Phebe Vayanos

H-Index: 11

ROC++: Robust optimization in C++

INFORMS Journal on Computing

2022/11

Phebe Vayanos
Phebe Vayanos

H-Index: 11

Qing Jin
Qing Jin

H-Index: 10

Optimal robust classification trees

2021/12/2

Correlates of housing sustainability among youth placed into permanent supportive housing and rapid re-housing: A survival analysis

Journal of Adolescent Health

2021/10/1

Learning optimal prescriptive trees from observational data

arXiv preprint arXiv:2108.13628

2021/8/31

Sina Aghaei
Sina Aghaei

H-Index: 2

Phebe Vayanos
Phebe Vayanos

H-Index: 11

Cost-sharing mechanism design for ride-sharing

Transportation Research Part B: Methodological

2021/8/1

Phebe Vayanos
Phebe Vayanos

H-Index: 11

See List of Professors in Phebe Vayanos University(University of Southern California)

Co-Authors

academic-engine