IOL Lab

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29 repositories

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.
frank-wolfe local-models bell-inequalities conditional-gradients local-polytope
Julia
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MIT License
•1•4•0•0•Updated Dec 23, 2024Dec 23, 2024
Boscia.jl
Public
Mixed-Integer Convex Programming: Branch-and-bound with Frank-Wolfe-based convex relaxations
julia nonlinear-optimization mixed-integer-programming first-order-methods frank-wolfe optimization optimization-algorithms
Julia
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MIT License
•5•26•21•3•Updated Dec 21, 2024Dec 21, 2024
FrankWolfe.jl
Public
Julia implementation for various Frank-Wolfe and Conditional Gradient variants
hacktoberfest optimization-algorithms first-order-methods frank-wolfe conditional-gradients optimization julia
Julia
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MIT License
•18•96•19•8•Updated Dec 20, 2024Dec 20, 2024
CombinatorialLinearOracles.jl
Public
Linear Minimization Oracles for Combinatorial Problems
Julia
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MIT License
•0•0•1•0•Updated Dec 16, 2024Dec 16, 2024
AbsSmoothFrankWolfe.jl
Public
Algorithm for nonsmooth optimization
Julia
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MIT License
•0•4•0•0•Updated Nov 14, 2024Nov 14, 2024
OptimalDesignWithBoscia
Public
Solving the Exact Optimal Experiment Design Problem using the convex mixed-integer solver Boscia.jl
Julia
•0•0•0•0•Updated Nov 8, 2024Nov 8, 2024
SMS
Public
Code to reproduce the experiments of the ICLR24-paper: "Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging"
sparsity deep-learning neural-network optimization pytorch pruning averaging
Python
•0•7•0•0•Updated Oct 17, 2024Oct 17, 2024
FedDistill
Public
Code to reproduce the experiments of "On the Byzantine-Resilience of Distillation-Based Federated Learning"
deep-learning pytorch neural-networks knowledge-distillation byzantine federated-learning
Python
•0•2•0•0•Updated Oct 11, 2024Oct 11, 2024
ApproximateVanishingIdeals.jl
Public
approximate vanishing ideal computations
Julia
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MIT License
•1•2•0•0•Updated Sep 10, 2024Sep 10, 2024
AffineInvariantOLFW
Public
Code for the paper Accelerated Affine-Invariant Vonvergence Rates of the Frank-Wolfe Algorithm with Open-Loop Step-Sizes
frank-wolfe
Python
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MIT License
•0•0•0•0•Updated Jul 1, 2024Jul 1, 2024
frankwolfe-py
Public
Python
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Apache License 2.0
•0•2•1•0•Updated Apr 8, 2024Apr 8, 2024
merlin-arthur-classifiers
Public
Implementation of Merlin-Arthur-Classifier Framework presented at AISTATS24.
Python
•0•1•0•0•Updated Feb 27, 2024Feb 27, 2024
Network_Design_with_Integer_Frank_Wolfe
Public
Julia
•0•0•0•0•Updated Feb 21, 2024Feb 21, 2024
PERP
Public
0•1•1•0•Updated Dec 21, 2023Dec 21, 2023
ALM.jl
Public
Julia
•0•0•0•0•Updated Dec 15, 2023Dec 15, 2023
AAPPR.jl
Public
Accelerated and Sparse Algorithms for Approximate Personalized PageRank and Beyond
Julia
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MIT License
•0•2•0•0•Updated Dec 11, 2023Dec 11, 2023
fw-rde
Public
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
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MIT License
•0•4•0•0•Updated Nov 16, 2023Nov 16, 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)
convex-optimization frank-wolfe approximate-vanishing-ideal
Python
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MIT License
•0•0•0•0•Updated Aug 24, 2023Aug 24, 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.
frank-wolfe frank-wolfe-method vanishing-ideal
Python
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MIT License
•0•3•0•0•Updated Aug 24, 2023Aug 24, 2023
FrankWolfe-book-code
Public
Python implementation of Frank-Wolfe and Conditional Gradient algorithms
Python
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MIT License
•1•5•0•0•Updated Aug 18, 2023Aug 18, 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
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MIT License
•0•2•0•0•Updated Jul 7, 2023Jul 7, 2023
.github
Public
0•0•0•0•Updated Apr 27, 2023Apr 27, 2023
StochasticFrankWolfe
Public
Implementation of the Stochastic Frank Wolfe algorithm in TensorFlow and Pytorch.
neural-network constrained-optimization frank-wolfe deep-learning tensorflow pytorch
Python
•7•10•1•1•Updated Apr 18, 2023Apr 18, 2023
KernelHerding.jl
Public
A package demonstrating Kernel Herding with Frank-Wolfe algorithms
Julia
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MIT License
•0•1•0•0•Updated Feb 27, 2023Feb 27, 2023
BIMP
Public
Code to reproduce the experiments of ICLR2023-paper: How I Learned to Stop Worrying and Love Retraining
sparsity neural-network optimization pruning learning-rate-scheduling deep-learning pytorch
Python
•0•8•0•0•Updated Feb 23, 2023Feb 23, 2023
compression-aware-SFW
Public
Code to reproduce the experiments of "Compression-aware Training of Neural Networks using Frank-Wolfe"
compression neural-network constrained-optimization pruning machine-learning deep-learning pytorch
Python
•0•1•0•0•Updated Feb 22, 2023Feb 22, 2023
gpu-domain-propagator
Public
Sequantial C++ (CPU), and a CUDA (GPU) implementation of Domain Propagation for Mixed-Integer Programming problems
gpu optimization cuda constraint-propagation domain-propagation
Cuda
•1•0•0•0•Updated Feb 18, 2023Feb 18, 2023
fw-generalized-selfconcordant
Public
Repository for the NeurIPS2021 paper "Simple steps are all you need: Frank-Wolfe and generalized self-concordant functions"
Julia
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MIT License
•0•0•0•0•Updated Feb 13, 2023Feb 13, 2023
CINDy
Public
CINDy: Conditional gradient-based Identification of Non-linear Dynamics – Noise-robust recovery
Python
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MIT License
•2•8•0•0•Updated Sep 30, 2021Sep 30, 2021