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Editor's Cut: AI/ML
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BLENDING PREDICTIVE & PRESCRIPTIVE METHODS

From Predictive to Prescriptive Analytics

Published Online:

Management Science

    Abstract
    We combine ideas from machine learning (ML) and operations research and management science (OR/MS) in developing a framework, along with specific methods, for using data to prescribe optimal decisions in OR/MS problems. In a departure from other work on ...
Predictive Analytics with Strategically Missing Data

Published Online:

INFORMS Journal on Computing

    Abstract
    We study strategically missing data problems in predictive analytics with regression. In many real-world situations, such as financial reporting, college admission, job application, and marketing advertisement, data providers often conceal certain ...
Optimal Prescriptive Trees

Published Online:

INFORMS Journal on Optimization

    Abstract
    Motivated by personalized decision making, given observational data {(xi,yi,zi)}i=1n involving features xi∈Rd, assigned treatments or prescriptions zi∈{1,…,m}, and outcomes yi∈R, we propose a tree-based algorithm called optimal prescriptive tree (OPT) that uses either constant or linear ...
Optimal Online Learning for Nonlinear Belief Models Using Discrete Priors

Published Online:

Operations Research

Dynamic Joint Assortment and Pricing Optimization with Demand Learning

Published Online:

M&SOM

    Abstract
    Problem definition: We consider a joint assortment optimization and pricing problem where customers arrive sequentially and make purchasing decisions following the multinomial logit (MNL) choice model. Not knowing the customer choice parameters a priori ...
Smart “Predict, then Optimize”

Published Online:

Management Science

    Abstract
    Many real-world analytics problems involve two significant challenges: prediction and optimization. Because of the typically complex nature of each challenge, the standard paradigm is predict-then-optimize. By and large, machine learning tools are ...
The Daily Impact of AI

Ramayya Krishnan

Published Online: July 15, 2019
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