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AI/ML FOR OPTIMIZATION PROBLEMS

A Machine Learning-Based Approximation of Strong Branching

Published Online:

INFORMS Journal on Computing

    Abstract
    We present in this paper a new generic approach to variable branching in branch and bound for mixed-integer linear problems. Our approach consists in imitating the decisions taken by a good branching strategy, namely strong branching, with a fast ...
Learning in Combinatorial Optimization: What and How to Explore

Published Online:

Operations Research

    Abstract
    When moving from the traditional to combinatorial multiarmed bandit setting, addressing the classical exploration versus exploitation trade-off is a challenging task. In “Learning in Combinatorial Optimization: What and How to Explore,” Modaresi, Sauré, ...
Ride-Hailing Order Dispatching at DiDi via Reinforcement Learning

Published Online:

INFORMS Journal on Applied Analytics

    Abstract
    Order dispatching is instrumental to the marketplace engine of a large-scale ride-hailing platform, such as the DiDi platform, which continuously matches passenger trip requests to drivers at a scale of tens of millions per day. Because of the dynamic and ...
Dynamic Assortment Personalization in High Dimensions

Published Online:

Operations Research

    Abstract
    Learning and Earning in High Dimensions: Assortment Personalization Using Low-Rank Preferences
Failure-Aware Kidney Exchange

Published Online:

Management Science

    Abstract
    Algorithmic matches in fielded kidney exchanges do not typically result in an actual transplant. We address the problem of cycles and chains in proposed matches failing after the matching algorithm has committed to them. We show that failure-aware kidney ...
Microsoft Uses Machine Learning and Optimization to Reduce E-Commerce Fraud

Published Online:

INFORMS Journal on Applied Analytics

    Abstract
    The authors discuss Microsoft’s development of a fraud-management system that uses customized long-term and short-term sequential machine learning models to detect both historical and emerging fraud patterns. It also makes rapid real-time optimal ...
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The direction of smart automation
Joseph Byrum

Published Online: May 6, 2018

Analytics

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How machine learning can heal a supply chain
Polly Mitchell-Guthrie

Published Online: August 14, 2019

Analytics

2019 Wagner Prize Winner: Ride-hailing Order Dispatching on DiDi via Reinforcement Learning

Zhiwei Qin, Xiaocheng Tang, Yan Jiao, Fan Zhang, Zhe Xu, Hongtu Zhu, Jieping Ye

Published Online: November 7, 2019
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TutORial: Machine Learning and Data Mining with Combinatorial Optimization Algorithms

Dorit Simona Hochbaum

Published Online: November 25, 2018
INFORMS YouTube Channel

2019 TutORial: Recent Advances in Multiarmed Bandits for Sequential Decision Making

Shipra Agrawal

Published Online: November 5, 2019
INFORMS YouTube Channel

TutORial: Bayesian Optimization

Peter Frazier

Published Online: November 25, 2018
INFORMS YouTube Channel

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