Media Summary: She is Professor of Industrial & Systems Engineering and Computer Science at the University of Southern California, and an ... Meet new faculty member and Assistant Professor at the Department of Industrial and System Engineering, Hannah gives an exploration of the highs and lows of using

Data For Good Phebe Vayanos - Detailed Analysis & Overview

She is Professor of Industrial & Systems Engineering and Computer Science at the University of Southern California, and an ... Meet new faculty member and Assistant Professor at the Department of Industrial and System Engineering, Hannah gives an exploration of the highs and lows of using TITLE Learning Optimal Policies for Online Allocation of Scarce Housing Resources from

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Data for Good: Phebe Vayanos, University of Southern California
Phebe Vayanos, Towards robust, interpretable, and fair social and public health interventions
Subject to: Phebe Vayanos
Phebe Vayanos - Integer optimization for predictive & prescriptive analytics in high stakes domains
Machine Learning NeEDS Mathematical Optimization with Dr Phebe Vayanos
Waterloo Comp Math Colloquium - Phebe Vayanos - On designing robust and fair health interventions
Faculty Profile: Phebe Vayanos
Phebe Vayanos - Learning Optimal Classification Trees Robust to Distribution Shifts (ROW Talk)
Phebe Vayanos - Fair, efficient, and transparent allocation of resources in sensitive settings
Phebe Vayanos - Active Preference Elicitation via Adjustable Robust Optimization
Phebe Vayanos - CP2019 Plenary - AI & Robust Optimization for Social Good
Data For Good | Hannah Underwood | TEDxNewcastle
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Data for Good: Phebe Vayanos, University of Southern California

Data for Good: Phebe Vayanos, University of Southern California

Guest Speaker:

Phebe Vayanos, Towards robust, interpretable, and fair social and public health interventions

Phebe Vayanos, Towards robust, interpretable, and fair social and public health interventions

Phebe Vayanos

Subject to: Phebe Vayanos

Subject to: Phebe Vayanos

She is Professor of Industrial & Systems Engineering and Computer Science at the University of Southern California, and an ...

Phebe Vayanos - Integer optimization for predictive & prescriptive analytics in high stakes domains

Phebe Vayanos - Integer optimization for predictive & prescriptive analytics in high stakes domains

Recorded 01 March 2023.

Machine Learning NeEDS Mathematical Optimization with Dr Phebe Vayanos

Machine Learning NeEDS Mathematical Optimization with Dr Phebe Vayanos

Abstract:

Waterloo Comp Math Colloquium - Phebe Vayanos - On designing robust and fair health interventions

Waterloo Comp Math Colloquium - Phebe Vayanos - On designing robust and fair health interventions

November 4, 2021

Faculty Profile: Phebe Vayanos

Faculty Profile: Phebe Vayanos

Meet new faculty member and Assistant Professor at the Department of Industrial and System Engineering,

Phebe Vayanos - Learning Optimal Classification Trees Robust to Distribution Shifts (ROW Talk)

Phebe Vayanos - Learning Optimal Classification Trees Robust to Distribution Shifts (ROW Talk)

Webpage of the webinar: https://sites.google.com/view/row-series/home.

Phebe Vayanos - Fair, efficient, and transparent allocation of resources in sensitive settings

Phebe Vayanos - Fair, efficient, and transparent allocation of resources in sensitive settings

Phebe Vayanos

Phebe Vayanos - Active Preference Elicitation via Adjustable Robust Optimization

Phebe Vayanos - Active Preference Elicitation via Adjustable Robust Optimization

Part of Discrete Optimization Talks: https://talks.discreteopt.com

Phebe Vayanos - CP2019 Plenary - AI & Robust Optimization for Social Good

Phebe Vayanos - CP2019 Plenary - AI & Robust Optimization for Social Good

Phebe Vayanos

Data For Good | Hannah Underwood | TEDxNewcastle

Data For Good | Hannah Underwood | TEDxNewcastle

Hannah gives an exploration of the highs and lows of using

Learning Machines Seminar: Phebe Vayanos (University of Southern California) / April 14, 2023

Learning Machines Seminar: Phebe Vayanos (University of Southern California) / April 14, 2023

TITLE Learning Optimal Policies for Online Allocation of Scarce Housing Resources from