First-order penalty methods for bilevel optimization

01/04/2023
by   Zhaosong Lu, et al.
0

In this paper we study a class of unconstrained and constrained bilevel optimization problems in which the lower-level part is a convex optimization problem, while the upper-level part is possibly a nonconvex optimization problem. In particular, we propose penalty methods for solving them, whose subproblems turn out to be a structured minimax problem and are suitably solved by a first-order method developed in this paper. Under some suitable assumptions, an operation complexity of O(ε^-4logε^-1) and O(ε^-7logε^-1), measured by their fundamental operations, is established for the proposed penalty methods for finding an ε-KKT solution of the unconstrained and constrained bilevel optimization problems, respectively. To the best of our knowledge, the methodology and results in this paper are new.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
01/05/2023

A first-order augmented Lagrangian method for constrained minimax optimization

In this paper we study a class of constrained minimax problems. In parti...
research
02/10/2023

On Penalty-based Bilevel Gradient Descent Method

Bilevel optimization enjoys a wide range of applications in hyper-parame...
research
01/04/2021

Learning to Optimize Under Constraints with Unsupervised Deep Neural Networks

In this paper, we propose a machine learning (ML) method to learn how to...
research
08/04/2017

A novel metaheuristic method for solving constrained engineering optimization problems: Drone Squadron Optimization

Several constrained optimization problems have been adequately solved ov...
research
09/04/2023

On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation

In this work, we study first-order algorithms for solving Bilevel Optimi...
research
11/14/2022

Alternating Implicit Projected SGD and Its Efficient Variants for Equality-constrained Bilevel Optimization

Stochastic bilevel optimization, which captures the inherent nested stru...
research
06/14/2013

Constrained fractional set programs and their application in local clustering and community detection

The (constrained) minimization of a ratio of set functions is a problem ...

Please sign up or login with your details

Forgot password? Click here to reset