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
11am-12:30pm
The Fulfillment-Optimization Problem
Authors: Vivek Farias, MIT; Jason Acimovic
1:30-3pm
Field Experiments in Operations Management
Authors: Bradley Staats, UNC; Maria Ibanez
4:30-6pm
Deep Learning in Computer Vision: Methods, Interpretation, Causation and Fairness
Authors: Param Singh, CMU; Nikhil Malik
Monday, October 21
Convention Center – 6A, Level 6
8-9:30am
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
11am-12:30pm
Health System Innovation: Analytics in Action
Authors: Retsef Levi, MIT; Martin Copenhaver, Michael Hu, Kyan Safavi, Ana Cecilia Zenteno Langle
1:30-3pm
Recent Advances in Multi-Armed Bandits for Sequential Decision Making
Authors: Shipra Agrawal, Columbia
4:30-6pm
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
7:30-9am
Data-driven Methods for Markov Decision Problems with Parameter Uncertainty
Authors: Shie Mannor, Technion; Huan Xu
10:30am-12noon
Structural Econometric Models
Authors: Yong Tan, UW; Yan Huang, Stephanie Lee
12:05-1:35pm
Scheduling an Overloaded Multiclass Many-Server Queue with Impatient Customers
Authors: Amy Ward, Chicago; Amber L. Puha
2-3:30pm
The Use of Data Science for Supply Chain Transportation Management
Author: Sam Eldersveld, Amazon.com; Elcin Cetinkaya