ZIB-IOL/cgavi ZIB-IOL/cgavi

  • Stars
    star
    1
  • Language
    Python
  • License
    MIT License
  • Created almost 3 years ago
  • Updated over 1 year ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
ZIB-IOL/cgavi
github

ZIB-IOL

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

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.

More Repositories

1

FrankWolfe.jl

Julia implementation for various Frank-Wolfe and Conditional Gradient variants
Julia
92
star
2

Boscia.jl

Mixed-Integer Convex Programming: Branch-and-bound with Frank-Wolfe-based convex relaxations
Julia
22
star
3

CINDy

CINDy: Conditional gradient-based Identification of Non-linear Dynamics – Noise-robust recovery
Python
8
star
4

StochasticFrankWolfe

Python
7
star
5

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).
Python
4
star
6

FrankWolfe-book-code

Python implementation of Frank-Wolfe and Conditional Gradient algorithms
Python
2
star
7

AAPPR.jl

Accelerated and Sparse Algorithms for Approximate Personalized PageRank and Beyond
Julia
1
star
8

KernelHerding.jl

A package demonstrating Kernel Herding with Frank-Wolfe algorithms
Julia
1
star
9

AVI

approximate vanishing ideal computations
Julia
1
star
10

merlin-arthur-classifiers

Implementation of Merlin-Arthur-Classifier Framework presented at AISTATS24.
Python
1
star
11

IMP

Back to Basics: Efficient Network Compression via IMP
Python
1
star
12

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.
Python
1
star