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@ZIB-IOL

IOL Lab @ ZIB

Working on optimization and learning at the intersection of mathematics and computer science
README.md

We are the IOL Lab at the Zuse Institute and Technische Universität Berlin. We work at the intersection of mathematics and computer science research focus is on Artificial Intelligence, Optimization, and Machine Learning. Here you will find software repositories relating to our research, in particular actively maintained Julia and Python packages for Frank-Wolfe optimization as well as Branch-and-Bound.

Pinned

  1. FrankWolfe.jl Public

    Julia implementation for various Frank-Wolfe and Conditional Gradient variants

    Julia 65 10

  2. Boscia.jl Public

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

    Julia 16 1

  3. BellPolytopes.jl Public

    This julia package addresses the membership problem for local polytopes: it constructs Bell inequalities and local models in multipartite Bell scenarios with binary outcomes.

    Julia 4 1

Repositories

  • Boscia.jl Public

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

    Julia 16 MIT 1 5 3 Updated Mar 17, 2023
  • cgavi Public

    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.

    Python 0 MIT 0 0 0 Updated Mar 17, 2023
  • .github Public
    0 0 0 0 Updated Mar 16, 2023
  • BellPolytopes.jl Public

    This julia package addresses the membership problem for local polytopes: it constructs Bell inequalities and local models in multipartite Bell scenarios with binary outcomes.

    Julia 4 MIT 1 0 0 Updated Mar 13, 2023
  • open_loop_fw Public

    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 0 0 0 0 Updated Mar 13, 2023
  • FrankWolfe.jl Public

    Julia implementation for various Frank-Wolfe and Conditional Gradient variants

    Julia 65 MIT 10 28 (2 issues need help) 6 Updated Mar 7, 2023
  • KernelHerding.jl Public

    A package demonstrating Kernel Herding with Frank-Wolfe algorithms

    Julia 0 MIT 0 0 0 Updated Feb 27, 2023
  • avi_at_scale Public

    Code for the paper: [Wirth, E., Kera, H., and Pokutta, S. (2022). Approximate vanishing ideal computations at scale.](https://arxiv.org/abs/2207.01236)

    Python 0 MIT 0 0 0 Updated Feb 24, 2023
  • StochasticFrankWolfe Public

    Implementation of the Stochastic Frank Wolfe algorithm in TensorFlow and Pytorch.

    Python 9 5 1 0 Updated Feb 23, 2023
  • BIMP Public

    Code to reproduce the experiments of ICLR2023-paper: How I Learned to Stop Worrying and Love Retraining

    Python 3 0 0 0 Updated Feb 23, 2023
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