NewsMachine Learning Research at IEMS
News
The IEMS department hosts a recurring meeting in which faculty present their work related to machine learning.
Presentations
Brenna Argall and Michael Watson: April 25, 2024
Machine Learning in the Assistive/Rehab Field
How Operations and Supply Chain Executives Learn About AI/Machine Learning
Andreas Waechter: June 9, 2022
DNNs In Engineering Applications
Julia Gaudio: March 31, 2022
Generalization Error
Barry Nelson: February 3, 2022
Simulation Optimization and Bandits
David Morton: August 21, 2020
2020 Distributionally Robust Two-Stage Stochastic Programming
2019 Distributionally Robust Stochastic Dual Dynamic Programming
Simge Kucukyavuz: July 24, 2020
Integer Programming for Learning Directed Acyclic Graphs from Continuous Data
Consistent Second-Order Conic Integer Programming for Learning Bayesian Network
On the Convexification of Constrained Quadratic Optimization Problems with Indicator Variables
Ideal Formulations for Constrained Convex Optimization Problems with Indicator Variables
A polyhedral approach to bisubmodular function minimization
Noshir Contractor: June 12, 2020
Moon 2024: Translating Research to Practice
A Successful Crew Composition Countermeasure Validated in HER
