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 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

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

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

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

University of Southern California

Google Scholar

View Google Scholar Profile

Phebe Vayanos Skills & Research Interests

Optimization

Operations Research

Artificial Intelligence

Analytics

Machine Learning

Top articles of Phebe Vayanos

Title

Journal

Author(s)

Publication Date

Distributionally Robust Optimization with Decision-Dependent Information Discovery

Optimization Letters

Fengqiao Luo

Sanjay Mehrotra

2020/11

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

Proceedings of the AAAI Conference on Artificial Intelligence

Zhuangzhuang Jia

Grani A Hanasusanto

Phebe Vayanos

Weijun Xie

2024/3/24

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

Nathanael Jo

Sina Aghaei

Jack Benson

Andres Gomez

Phebe Vayanos

2023/8/8

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

arXiv preprint arXiv:2307.15691

Patrick Vossler

Sina Aghaei

Nathan Justin

Nathanael Jo

Andrés Gómez

...

2023/7/28

Fairness in contextual resource allocation systems: Metrics and incompatibility results

Proceedings of the AAAI Conference on Artificial Intelligence

Nathanael Jo

Bill Tang

Kathryn Dullerud

Sina Aghaei

Eric Rice

...

2023/6/26

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

arXiv preprint arXiv:2311.13765

Bill Tang

Çağıl Koçyiğit

Eric Rice

Phebe Vayanos

2023/11/23

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

2023/10/30

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

Field Methods

Maxwell Izenberg

Ryan Brown

Cora Siebert

Ron Heinz

Aida Rahmattalabi

...

2023/5

Learning Optimal Classification Trees Robust to Distribution Shifts

arXiv preprint arXiv:2310.17772

Nathan Justin

Sina Aghaei

Andrés Gómez

Phebe Vayanos

2023/10/26

Learning optimal fair classification trees

arXiv preprint arXiv:2201.09932

Nathanael Jo

Sina Aghaei

Jack Benson

Andrés Gómez

Phebe Vayanos

2022

Human-Subject Experiments on Risk-Based Cyber Camouflage Games

Palvi Aggarwal

Shahin Jabbari

Omkar Thakoor

Edward A Cranford

Phebe Vayanos

...

2022/10/7

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

Aida Rahmattalabi

Phebe Vayanos

Kathryn Dullerud

Eric Rice

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

Anthony Fulginiti

Aida Rahmattalabi

Jarrod Call

Phebe Vayanos

Eric Rice

2022/5/5

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

arXiv preprint arXiv:2201.09932

Nathanael Jo

Sina Aghaei

Andrés Gómez

Phebe Vayanos

2022/1/24

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

Yingxiao Ye

Christopher Doehring

Angelos Georghiou

Hugh Robinson

Phebe Vayanos

2022/1

ROC++: Robust optimization in C++

INFORMS Journal on Computing

Phebe Vayanos

Qing Jin

George Elissaios

2022/11

Fair influence maximization: A welfare optimization approach

Aida Rahmattalabi

Shahin Jabbari

Himabindu Lakkaraju

Phebe Vayanos

Max Izenberg

...

2021

Optimal robust classification trees

Nathan Justin

Sina Aghaei

Andres Gomez

Phebe Vayanos

2021/12/2

Strong optimal classification trees

arXiv preprint arXiv:2103.15965

Sina Aghaei

Andrés Gómez

Phebe Vayanos

2021/3/29

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

Journal of Adolescent Health

Hsun-Ta Hsu

Chyna Hill

Monique Holguin

Laura Petry

Duncan McElfresh

...

2021/10/1

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

Co-Authors

H-index: 109
Dimitris Bertsimas

Dimitris Bertsimas

Massachusetts Institute of Technology

H-index: 94
Milind Tambe

Milind Tambe

Harvard University

H-index: 75
Danilo Mandic

Danilo Mandic

Imperial College London

H-index: 58
Eric Rice

Eric Rice

University of Southern California

H-index: 31
Wolfram Wiesemann

Wolfram Wiesemann

Imperial College London

H-index: 24
Haifeng Xu

Haifeng Xu

University of Virginia

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