B Colson, P Marcotte, G Savard - Annals of operations research, 2007 - Springer
This paper is devoted to bilevel optimization, a branch of mathematical programming of both practical and theoretical interest. Starting with a simple example, we proceed towards a …
R Liu, Y Liu, W Yao, S Zeng… - … Conference on Machine …, 2023 - proceedings.mlr.press
Gradient methods have become mainstream techniques for Bi-Level Optimization (BLO) in learning fields. The validity of existing works heavily rely on either a restrictive Lower-Level …
F Dörfler, J Coulson, I Markovsky - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this article, we discuss connections between sequential system identification and control for linear time-invariant systems, often termed indirect data-driven control, as well as a …
Boris S. Mordukhovich Page 1 Springer Monographs in Mathematics Boris S. Mordukhovich Variational Analysis and Applications Page 2 Springer Monographs in Mathematics Editors-in-Chief …
Bilevel optimization (BO) is useful for solving a variety of important machine learning problems including but not limited to hyperparameter optimization, meta-learning, continual …
Bilevel optimization is a vital field of active research. Depending on its formulation it is part of nonsmooth or nondifferentiable optimization, conic programming, optimization with …
W Wei, F Liu, S Mei - IEEE transactions on smart grid, 2014 - ieeexplore.ieee.org
This paper proposes a two-stage two-level model for the energy pricing and dispatch problem faced by a smart grid retailer who plays the role of an intermediary agent between a …
This book provides a solid foundation and an extensive study for an important class of constrained optimization problems known as Mathematical Programs with Equilibrium …
Bilevel programming problems are hierarchical optimization problems where the constraints of one problem (the so-called upper level problem) are defined in part by a second …