There are 7 repositories under bilevel-optimization topic.
A library for differentiable nonlinear optimization
Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization
Bilevel Optimization Library in Python for Multi-Task and Meta Learning
MetaStyle: Three-Way Trade-Off Among Speed, Flexibility, and Quality in Neural Style Transfer
Coresets via Bilevel Optimization
An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming (ICML'21)
JuMP-based toolbox for solving bilevel optimization problems
PyTorch implementation of "STNs" and "Delta-STNs".
Implementation and examples from Trajectory Optimization with Optimization-Based Dynamics https://arxiv.org/abs/2109.04928
Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"
Benchmark for bi-level optimization solvers
Multi-rendezvous Spacecraft Trajectory Optimization with Beam P-ACO
Example Code for paper "Provably Faster Algorithms for Bilevel Optimization"
Metaheuristics for solving bilevel optimization problems.
Proposed a mathematical model for optimizing the profits and emissions while setting dynamic prices of electricity. A bilevel & multi-objective model is proposed for maximizing profits of retailer, minimizing the emissions produced, & minimizing the total cost of customers.
Formulations for the robust Resource-Constrained Project Scheduling Problem (RCPSP) using Pyomo modelling.
Deep Bilevel Learning. In ECCV, 2018.
Implementations of the algorithms described in the paper: On the Convergence Theory for Hessian-Free Bilevel Algorithms.
Thousands of bibliographic references on bi-level optimization.
A Julia package for adaptive proximal gradient for convex bilevel optimization
C++/python codes for contact-rich trajectory optimization.
A program for generating computational results for a research project of mine involving a trilevel network interdiction game on an interdependent network.
A collection of programs used to generate test cases for the main solver of a research project of mine involving a trilevel network interdiction game on an interdependent network.
RECKONING is a bi-level learning algorithm that improves language models' reasoning ability by folding contextual knowledge into parametric knowledge through back-propagation.
COMBINATORIAL OPTIMIZATION & NETWORK ANALYSIS - AUT- Professor: FARNAZ HOOSHMAND KHALIGH
Code repository for the paper: A Catalog of Formulations for the Network Pricing Problem.
In this repository, we implement Targeted Meta-Learning (or Targeted Data-driven Regularization) architecture for training machine learning models with biased data.
In this repository, we implement Targeted Meta-Learning (or Targeted Data-driven Regularization) architecture for training machine learning models with biased data.
Nonsmooth Bilevel Parameter Learning for Image Denoising
Julia library for the Network Pricing Problem (NPP)