December 9, 2024
Babak Hassibi (Caltech)
“Linear Bregman Divergence Control”
In the past couple of decades, the use of "non-quadratic" convex cost functions has revolutionized signal processing, machine learning, and statistics, allowing one to customize solutions to have desired...
March 6, 2025
Pascal Van Hentenryck (Georgia Institute of Technology)
Presented with the Operation Research Center (ORC).
This talk considers the concept of trustworthy optimization learning, a methodology to design optimization proxies that learn the input/output mapping of parametric optimization problems. These...
March 17, 2025
Kyri Baker (University of Colorado Boulder)
"Optimizing Power Grids with AI: Ensuring Feasibility and Stability"
Abstract: The electric power grid, one of our country’s most complex pieces of infrastructure, is crucial to the operation of modern society. Governing the operation of this...
April 7, 2025
Kameshwar Poolla (UC Berkeley)
••••••••••••••••••••Due to unforeseen circumstances, this event has been cancelled••••••••••••••••
"Transportation Network Services: Modeling, Economics, and Bundling"
Transportation network services such as ride hailing, food delivery, grocery...
April 10, 2025
Rodolphe Sepulchre (KU Leuven)
“Regulation without calibration”
Regulation theory is grounded in the internal model principle, which states that exact regulation requires an exact internal model of the external signals to be regulated. How to reconcile this calibration principle...
April 22, 2025
Bistra Dilkina (University of Southern California)
May 5, 2025
Ramesh Johari (Stanford University)
"When Does Interference Matter? Decision-Making in Platform Experiments"
Online platforms and marketplaces use A/B experiments to test new features and design changes. Due to constraints on inventory, such experiments typically lead to biased...
