ZIB-IOL/StochasticFrankWolfe

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7
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Language
Python
Created about 4 years ago
Updated about 3 years ago

ZIB-IOL/StochasticFrankWolfe

ZIB-IOL

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FrankWolfe.jl

Julia implementation for various Frank-Wolfe and Conditional Gradient variants

Boscia.jl

Mixed-Integer Convex Programming: Branch-and-bound with Frank-Wolfe-based convex relaxations

CINDy

CINDy: Conditional gradient-based Identification of Non-linear Dynamics – Noise-robust recovery

fw-rde

Official implementation of the paper "Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings" by J. Macdonald, M. Besançon, and S. Pokutta (2021).

FrankWolfe-book-code

Python implementation of Frank-Wolfe and Conditional Gradient algorithms

AAPPR.jl

Accelerated and Sparse Algorithms for Approximate Personalized PageRank and Beyond

KernelHerding.jl

A package demonstrating Kernel Herding with Frank-Wolfe algorithms

AVI

approximate vanishing ideal computations

merlin-arthur-classifiers

Implementation of Merlin-Arthur-Classifier Framework presented at AISTATS24.

cgavi

Code for the paper: Wirth, E.S. and Pokutta, S., 2022, May. Conditional gradients for the approximately vanishing ideal. In International Conference on Artificial Intelligence and Statistics (pp. 2191-2209). PMLR.

IMP

Back to Basics: Efficient Network Compression via IMP

open_loop_fw

Code for the paper: Wirth, E., Pokutta, S., and Kerdreux, T. (2023). Acceleration of Frank-Wolfe Algorithms with Open-Loop Step-Sizes. To Appear in Proceedings of AISTATS.