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...
September 29, 2025
Jan Drgona (Johns Hopkins University)
The transition to sustainable energy systems demands new computational paradigms that integrate physics-based reasoning with the adaptability of modern machine learning. This talk presents a scientific machine learning (SciML) perspective on...
October 6, 2025
Lily Xu (Columbia University)
"Overcoming Uncertainty for Decision-Making in Planetary Health"
Our planet faces growing crises including biodiversity loss, food insecurity, and public health risks, which compound and accelerate one another. Underlying these global challenges is...
October 14, 2025
Weina Wang (Carnegie Mellon University)
"A Local-to-Global Approach for Decision-Making in Large Stochastic Systems"
Large-scale decision-making problems arise in many domains, including communication networks, modern computing clusters, and ride-hailing systems. These systems involve...
October 20, 2025
Aaron D. Ames (Caltech)
"Foundations for Safe Autonomy: Why Learning Needs Control"
With the rise of humanoids and the rapid deployment of learning across autonomy stacks, the central question is: how can we trust robots to operate safely around us? Despite impressive...
October 21, 2025
Emily Black (NYU)
"On GenAI Harms: Evaluating them, and Relevant Law"
In this talk, I'll present my recent work on technical pitfalls and legal tensions around the evaluation of GenAI harms. Through four case studies, I'll show how misalignment between regulatory...
October 28, 2025
Daniel Ho (Stanford University)
November 3, 2025
Angelina Wang (Cornell University)
