From the 1 of 17 linked papers with an AI index.
17 papers
Copositive Characterizations of Convex Hull Pricing
Madhusudan Ghosh, Antoine Lesage-Landry, Joshua Adam Taylor
The paper defines a centralized convex hull price for the unit commitment problem and proves that, under non‑degeneracy, it coincides with the marginal price derived from a coposit…
Parallel versions of the mesh adaptive direct search algorithm
Sébastien Le Digabel, Antoine Lesage-Landry, Samuel Mendoza +1
This work surveys the different parallel variants of the mesh adaptive direct search (MADS) algorithm for constrained blackbox optimization. These problems can inherently imply hig…
Convex training of Lipschitz-regularized shallow neural networks
Chao Yin, Antoine Lesage-Landry
In this work, we introduce a training procedure for shallow neural networks that promotes robustness against adversarial attacks. We solve a non-convex Lipschitz-regularized traini…
Online Sketched Newton-Raphson
Jean-Luc Lupien, Yuen-Man Pun, Youssef Diouane +2
In online convex optimization (OCO), a decision-maker is confronted with an unknown environment and seeks to play an optimal sequence of decisions on a short time-scale using only…
AI-Driven Low-Altitude Economy: Spectrum, Mobility, and Validation
KürÅat Tekbıyık, Amir Hossein Fahim Raouf, Ä°smail Güvenç +3
The Low Altitude Economy (LAE) network, with its transformative capabilities, is a candidate to become one of the major technological developments of the next decade for air mobili…
Online Convex Optimization for On-Board Routing in High-Throughput Satellites
Olivier Bélanger, Jean-Luc Lupien, Olfa Ben Yahia +3
The rise in low Earth orbit (LEO) satellite Internet services has led to increasing demand, often exceeding available data rates and compromising the quality of service. While depl…