Bilevel optimization (BO) is useful for solving a variety of important machine learning problems including but not limited to hyperparameter optimization, meta-learning, continual …
S Dempe - Bilevel optimization: advances and next challenges, 2020 - Springer
Bilevel optimization problems are hierarchical optimization problems where the feasible region of the so-called upper level problem is restricted by the graph of the solution set …
The results presented in this book originate from the last decade research work of the author in the? eld of duality theory in convex optimization. The reputation of duality in the …
We consider the bilevel programming problem and its optimal value and KKT one level reformulations. The two reformulations are studied in a unified manner and compared in …
Bilevel optimization problems are hierarchical optimization problems where the feasible region of the so-called upper level problem is restricted by the graph of the solution set …
This is the first paper dealing with the study of weak sharp minima for constrained optimization problems on Riemannian manifolds, which are important in many applications …
Covering the current state of the art, this book explores an important and central issue in convex optimization: optimality conditions. Although many results presented in the chapters …
In this paper we present a survey of generalizations of the celebrated Farkas's lemma, starting from systems of linear inequalities to a broad variety of non-linear systems. We focus …
This paper contributes to a deeper understanding of the link between a now conventional framework in hierarchical optimization called the optimistic bilevel problem and its initial …