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All attendees receive free access to the INFORMS 2019 TutORials in Operations Research online content concurrently with the meeting. Registrants of the 2019 INFORMS Annual Meeting have online access to the 2019 chapters, written by select presenters, beginning on October 19, 2019. Access this content using the link provided to all attendees by email or, if you are a 2019 member, simply login to INFORMS PubsOnLine.

The TutORials in Operations Research series is published annually by INFORMS as an introduction to emerging and classical subfields of operations research and management science. These chapters are designed to be accessible for all constituents of the INFORMS community, including current students, practitioners, faculty, and researchers. The publication allows readers to keep pace with new developments in the field, and serves as augmenting material for a selection of the tutorial presentations offered at the INFORMS Annual Meetings.

Sunday, October 20

Convention Center – 6A, Level 6


The Fulfillment-Optimization Problem

Authors: Vivek Farias, MIT; Jason Acimovic


Field Experiments in Operations Management

Authors: Bradley Staats, UNC; Maria Ibanez


Deep Learning in Computer Vision: Methods, Interpretation, Causation and Fairness

Authors: Param Singh, CMU; Nikhil Malik

Monday, October 21

Convention Center – 6A, Level 6


The Secrets of Machine Learning: Ten Things You Wish You Had Known Earlier to be More Effective at Data Analysis

Authors: Cynthia Rudin, Duke; David Carlson


Health System Innovation: Analytics in Action

Authors: Retsef Levi, MIT; Martin Copenhaver, Michael Hu, Kyan Safavi, Ana Cecilia Zenteno Langle


Recent Advances in Multi-Armed Bandits for Sequential Decision Making

Authors: Shipra Agrawal, Columbia


Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning

Authors: Daniel Kuhn, EPFL; Peyman Mohajerin Esfahani, Viet Anh Nguyen, Soroosh Shafieezadeh Abadeh

Tuesday, October 22

Convention Center – 6A, Level 6


Data-driven Methods for Markov Decision Problems with Parameter Uncertainty

Authors: Shie Mannor, Technion; Huan Xu


Structural Econometric Models

Authors: Yong Tan, UW; Yan Huang, Stephanie Lee


Scheduling an Overloaded Multiclass Many-Server Queue with Impatient Customers

Authors: Amy Ward, Chicago; Amber L. Puha


The Use of Data Science for Supply Chain Transportation Management

Author: Sam Eldersveld,; Elcin Cetinkaya