Pinned Repositories
A-Decentralized-Proximal-gradient-Method
The code for Decentralized Optimization including NIDS (network independent stepsize)
adaptive_GD
Adaptive gradient descent without descent
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
Deep-Optimization
Code for the article "Deep Forward-Backward Optimization Methods with Provable Convergence"
LOOP-MATH's Repositories
LOOP-MATH/Deep-Optimization
Code for the article "Deep Forward-Backward Optimization Methods with Provable Convergence"
LOOP-MATH/adaptive_GD
Adaptive gradient descent without descent
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/gt-linalg
Interactive Linear Algebra, free online textbook at Georgia Tech
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