Pinned Repositories
A-Decentralized-Proximal-gradient-Method
The code for Decentralized Optimization including NIDS (network independent stepsize)
ARock
Experiments code for asynchronous parallel coordinate update algorithms (ARock)
BDA
Code Repository for ICML 2020 accepted paper, named "A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton"
bilevel-penalty
bilevel-w-chance-constr-lower-level
Data of the numerical experiments of the paper "On Convex Lower-Level Black-Box Constraints in Bilevel Optimization with an Application to Gas Market Models with Chance Constraints" by Holger Heitsch, René Henrion, Thomas Kleinert, and Martin Schmidt
bjutthesis
LaTeX-based Template for thesis of Beijing University of Technology(BJUT)
BLO
Bi-level Optimization for Advanced Deep Learning
BOLIB
Bilevel optimization library of test problems
BOME
Deep-Optimization
Code for the article "Deep Forward-Backward Optimization Methods with Provable Convergence"
LOOP-MATH's Repositories
LOOP-MATH/bjutthesis
LaTeX-based Template for thesis of Beijing University of Technology(BJUT)
LOOP-MATH/Deep-Optimization
Code for the article "Deep Forward-Backward Optimization Methods with Provable Convergence"
LOOP-MATH/BDA
Code Repository for ICML 2020 accepted paper, named "A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton"
LOOP-MATH/bilevel-penalty
LOOP-MATH/bilevel-w-chance-constr-lower-level
Data of the numerical experiments of the paper "On Convex Lower-Level Black-Box Constraints in Bilevel Optimization with an Application to Gas Market Models with Chance Constraints" by Holger Heitsch, René Henrion, Thomas Kleinert, and Martin Schmidt
LOOP-MATH/BLO
Bi-level Optimization for Advanced Deep Learning
LOOP-MATH/BOME
LOOP-MATH/BOML
Bilevel Optimization Library in Python for Multi-Task and Meta Learning
LOOP-MATH/BVFSM
LOOP-MATH/Code_PhD3
LOOP-MATH/CompetitiveGradientOptim
LOOP-MATH/esjacobians
Implementations of the algorithms described in the paper: On the Convergence Theory for Hessian-Free Bilevel Algorithms.
LOOP-MATH/Higher-Order-Methods-for-Weak-MVIs
Experiments with HOM
LOOP-MATH/hipnex
LOOP-MATH/IAPTT-GM
Code Repository for NeurIPS 2021 accepted paper, named "Torwards Gradient-based Bilevel Optimization with non-convex Followers and Beyond"
LOOP-MATH/inexact_dfo_bilevel_learning
Inexact Derivative-Free Optimization for Bilevel Learning
LOOP-MATH/iP_DCA
This repository provide a realization of iP_DCA in Python with a simple test demo and a code for reproduce the numerical result of experiments
LOOP-MATH/lasso_bilevel
Bilevel Optimization Approaches for Tuning Parameter Selection in LASSO and its variants
LOOP-MATH/MRVRBO
Example Code for paper "Provably Faster Algorithms for Bilevel Optimization"
LOOP-MATH/NCNS-regularizer
LOOP-MATH/NumericalOptimization
Jupyter Notebooks for the M1 MSIAM Course "Numerical Optimization" at Université Grenoble Alpes
LOOP-MATH/odl
Operator Discretization Library https://odlgroup.github.io/odl/
LOOP-MATH/On-the-solution-on-convex-bilevel-optimization-problems--S.Dempe-S.Franke-
Code for algorithm to solve bilevel optimization problem as posited by S.Dempe and S.Franke in their paper - On the solution of convex bilevel optimization problems.
LOOP-MATH/OPTRA
optimal conjugate-free distributed primal-dual methods https://arxiv.org/pdf/1910.10666.pdf
LOOP-MATH/penalized-bilevel-gradient-descent
An implementation of the penalty-based bilevel gradient descent (PBGD) algorithm and the iterative differentiation (ITD/RHG) methods.
LOOP-MATH/refresher-course
Jupyter Notebooks for practical sessions of the "Refresher Course in Matrix Analysis and Numerical Optimization" at Université Grenoble Alpes
LOOP-MATH/SBO-RNN-Reformulating-Recurrent-Neural-Networks-via-Stochastic-Bilevel-Optimization
LOOP-MATH/stocBiO
Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"
LOOP-MATH/VF-iDCA
LOOP-MATH/ZO-AdaMM
Code for paper 'ZO-AdaMM: Zeroth-Order Adaptive MomentumMethod for Black-Box Optimization'