Bilevel optimization is defined as a mathematical program, where an optimization problem
contains another optimization problem as a constraint. These problems have received …

Many problems in machine learning involve bilevel optimization (BLO), including
hyperparameter optimization, meta-learning, and dataset distillation. Bilevel problems …

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 …

In this bibliography main directions of research as well as main fields of applications of
bilevel programming problems and mathematical programs with equilibrium constraints are …

Bi-level optimization is an emerging scope of research which consists of two optimization
problems, where the lower-level optimization problem is nested into the upper-level problem …

A large number of application problems involve two levels of optimization, where one
optimization task is nested inside the other. These problems are known as bilevel …

Bilevel and multi-objective optimization methods are often useful to spatially target agri-
environmental policy throughout a watershed. This type of problem is complex and is …

In this note we present a new concept of well-posedness for Optimization Problems with
constraints described by parametric Variational Inequalities or parametric Minimum …

Crowdsourcing leverages the diverse skill sets of large collections of individual contributors
to solve problems and execute projects, where contributors may vary significantly in …

Bilevel optimization (BLO) problems are nested optimization problems where an outer
objective must be minimized subject to the optimality of an inner objective. This nested …